fix(server): metadata extraction job on missing does not include file with missing nullable field

feat: kysely migrations (#17198 )
fix(deps): update dependency @opentelemetry/context-async-hooks to v2 (#17031 )
2025-03-29 21:07:29 -05:00 · 2025-03-29 09:26:24 -04:00 · 2025-03-28 20:51:01 +01:00 · 2025-03-28 20:40:57 +01:00 · 2025-03-28 18:34:19 +00:00 · 2025-03-28 10:32:25 -05:00
284 changed files with 9078 additions and 6908 deletions
--- a/.github/workflows/build-mobile.yml
+++ b/.github/workflows/build-mobile.yml
@@ -62,7 +62,7 @@ jobs:
          cache: 'gradle'

      - name: Setup Flutter SDK
-        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
+        uses: subosito/flutter-action@e938fdf56512cc96ef2f93601a5a40bde3801046 # v2
        with:
          channel: 'stable'
          flutter-version-file: ./mobile/pubspec.yaml
--- a/.github/workflows/codeql-analysis.yml
+++ b/.github/workflows/codeql-analysis.yml
@@ -46,7 +46,7 @@ jobs:

      # Initializes the CodeQL tools for scanning.
      - name: Initialize CodeQL
-        uses: github/codeql-action/init@5f8171a638ada777af81d42b55959a643bb29017 # v3
+        uses: github/codeql-action/init@1b549b9259bda1cb5ddde3b41741a82a2d15a841 # v3
        with:
          languages: ${{ matrix.language }}
          # If you wish to specify custom queries, you can do so here or in a config file.
@@ -59,7 +59,7 @@ jobs:
      # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
      # If this step fails, then you should remove it and run the build manually (see below)
      - name: Autobuild
-        uses: github/codeql-action/autobuild@5f8171a638ada777af81d42b55959a643bb29017 # v3
+        uses: github/codeql-action/autobuild@1b549b9259bda1cb5ddde3b41741a82a2d15a841 # v3

      # ℹ️ Command-line programs to run using the OS shell.
      # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
@@ -72,6 +72,6 @@ jobs:
      #   ./location_of_script_within_repo/buildscript.sh

      - name: Perform CodeQL Analysis
-        uses: github/codeql-action/analyze@5f8171a638ada777af81d42b55959a643bb29017 # v3
+        uses: github/codeql-action/analyze@1b549b9259bda1cb5ddde3b41741a82a2d15a841 # v3
        with:
          category: '/language:${{matrix.language}}'
--- a/.github/workflows/pr-require-conventional-commit.yml
+++ b/.github/workflows/pr-require-conventional-commit.yml
@@ -9,7 +9,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: PR Conventional Commit Validation
-        uses: ytanikin/PRConventionalCommits@1.3.0
+        uses: ytanikin/PRConventionalCommits@b628c5a234cc32513014b7bfdd1e47b532124d98 # 1.3.0
        with:
          task_types: '["feat","fix","docs","test","ci","refactor","perf","chore","revert"]'
          add_label: 'false'
--- a/.github/workflows/prepare-release.yml
+++ b/.github/workflows/prepare-release.yml
@@ -42,7 +42,7 @@ jobs:
          token: ${{ steps.generate-token.outputs.token }}

      - name: Install uv
-        uses: astral-sh/setup-uv@f94ec6bedd8674c4426838e6b50417d36b6ab231 # v5
+        uses: astral-sh/setup-uv@22695119d769bdb6f7032ad67b9bca0ef8c4a174 # v5

      - name: Bump version
        run: misc/release/pump-version.sh -s "${{ inputs.serverBump }}" -m "${{ inputs.mobileBump }}"
--- a/.github/workflows/static_analysis.yml
+++ b/.github/workflows/static_analysis.yml
@@ -41,7 +41,7 @@ jobs:
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4

      - name: Setup Flutter SDK
-        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
+        uses: subosito/flutter-action@e938fdf56512cc96ef2f93601a5a40bde3801046 # v2
        with:
          channel: 'stable'
          flutter-version-file: ./mobile/pubspec.yaml
@@ -55,7 +55,7 @@ jobs:
        working-directory: ./mobile

      - name: Find file changes
-        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
+        uses: tj-actions/verify-changed-files@a1c6acee9df209257a246f2cc6ae8cb6581c1edf # v20
        id: verify-changed-files
        with:
          files: |
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -365,7 +365,7 @@ jobs:
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
      - name: Setup Flutter SDK
-        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
+        uses: subosito/flutter-action@e938fdf56512cc96ef2f93601a5a40bde3801046 # v2
        with:
          channel: 'stable'
          flutter-version-file: ./mobile/pubspec.yaml
@@ -384,8 +384,8 @@ jobs:
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
      - name: Install uv
-        uses: astral-sh/setup-uv@f94ec6bedd8674c4426838e6b50417d36b6ab231 # v5
-      - uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5
+        uses: astral-sh/setup-uv@22695119d769bdb6f7032ad67b9bca0ef8c4a174 # v5
+      - uses: actions/setup-python@8d9ed9ac5c53483de85588cdf95a591a75ab9f55 # v5
        # TODO: add caching when supported (https://github.com/actions/setup-python/pull/818)
        # with:
        #   python-version: 3.11
@@ -395,16 +395,16 @@ jobs:
          uv sync --extra cpu
      - name: Lint with ruff
        run: |
-          uv run ruff check --output-format=github app export
+          uv run ruff check --output-format=github immich_ml
      - name: Check black formatting
        run: |
-          uv run black --check app export
+          uv run black --check immich_ml
      - name: Run mypy type checking
        run: |
-          uv run mypy --strict app/
+          uv run mypy --strict immich_ml/
      - name: Run tests and coverage
        run: |
-          uv run pytest app --cov=app --cov-report term-missing
+          uv run pytest --cov=immich_ml --cov-report term-missing

  github-files-formatting:
    name: .github Files Formatting
@@ -417,10 +417,10 @@ jobs:

    steps:
      - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4

      - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
        with:
          node-version-file: './.github/.nvmrc'

@@ -466,7 +466,7 @@ jobs:
        run: make open-api

      - name: Find file changes
-        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
+        uses: tj-actions/verify-changed-files@a1c6acee9df209257a246f2cc6ae8cb6581c1edf # v20
        id: verify-changed-files
        with:
          files: |
@@ -525,10 +525,10 @@ jobs:

      - name: Generate new migrations
        continue-on-error: true
-        run: npm run typeorm:migrations:generate ./src/migrations/TestMigration
+        run: npm run migrations:generate TestMigration

      - name: Find file changes
-        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
+        uses: tj-actions/verify-changed-files@a1c6acee9df209257a246f2cc6ae8cb6581c1edf # v20
        id: verify-changed-files
        with:
          files: |
@@ -538,7 +538,7 @@ jobs:
        run: |
          echo "ERROR: Generated migration files not up to date!"
          echo "Changed files: ${{ steps.verify-changed-files.outputs.changed_files }}"
-          cat ./src/migrations/*-TestMigration.ts
+          cat ./src/*-TestMigration.ts
          exit 1

      - name: Run SQL generation
@@ -547,7 +547,7 @@ jobs:
          DB_URL: postgres://postgres:postgres@localhost:5432/immich

      - name: Find file changes
-        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
+        uses: tj-actions/verify-changed-files@a1c6acee9df209257a246f2cc6ae8cb6581c1edf # v20
        id: verify-changed-sql-files
        with:
          files: |
--- a/README.md
+++ b/README.md
@@ -104,7 +104,7 @@ For the mobile app, you can use `https://demo.immich.app` for the `Server Endpoi
 | Read-only gallery                            | Yes    | Yes |
 | Stacked Photos                               | Yes    | Yes |
 | Tags                                         | No     | Yes |
-| Folder View                                  | No     | Yes |
+| Folder View                                  | Yes    | Yes |

 ## Translations

--- a/cli/package-lock.json
+++ b/cli/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "@immich/cli",
-  "version": "2.2.54",
+  "version": "2.2.57",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@immich/cli",
-      "version": "2.2.54",
+      "version": "2.2.57",
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
        "chokidar": "^4.0.3",
@@ -55,7 +55,7 @@
    },
    "../open-api/typescript-sdk": {
      "name": "@immich/sdk",
-      "version": "1.130.0",
+      "version": "1.130.3",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -810,9 +810,9 @@
      }
    },
    "node_modules/@eslint/config-helpers": {
-      "version": "0.1.0",
-      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.1.0.tgz",
-      "integrity": "sha512-kLrdPDJE1ckPo94kmPPf9Hfd0DU0Jw6oKYrhe+pwSC0iTUInmTa+w6fw8sGgcfkFJGNdWOUeOaDM4quW4a7OkA==",
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.2.0.tgz",
+      "integrity": "sha512-yJLLmLexii32mGrhW29qvU3QBVTu0GUmEf/J4XsBtVhp4JkIUFN/BjWqTF63yRvGApIDpZm5fa97LtYtINmfeQ==",
      "dev": true,
      "license": "Apache-2.0",
      "engines": {
@@ -833,9 +833,9 @@
      }
    },
    "node_modules/@eslint/eslintrc": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.0.tgz",
-      "integrity": "sha512-yaVPAiNAalnCZedKLdR21GOGILMLKPyqSLWaAjQFvYA2i/ciDi8ArYVr69Anohb6cH2Ukhqti4aFnYyPm8wdwQ==",
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.1.tgz",
+      "integrity": "sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -894,9 +894,9 @@
      }
    },
    "node_modules/@eslint/js": {
-      "version": "9.22.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.22.0.tgz",
-      "integrity": "sha512-vLFajx9o8d1/oL2ZkpMYbkLv8nDB6yaIwFNt7nI4+I80U/z03SxmfOMsLbvWr3p7C+Wnoh//aOu2pQW8cS0HCQ==",
+      "version": "9.23.0",
+      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.23.0.tgz",
+      "integrity": "sha512-35MJ8vCPU0ZMxo7zfev2pypqTwWTofFZO6m4KAtdoFhRpLJUpHTZZ+KB3C7Hb1d7bULYwO4lJXGCi5Se+8OMbw==",
      "dev": true,
      "license": "MIT",
      "engines": {
@@ -1528,17 +1528,17 @@
      "dev": true
    },
    "node_modules/@typescript-eslint/eslint-plugin": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.26.1.tgz",
-      "integrity": "sha512-2X3mwqsj9Bd3Ciz508ZUtoQQYpOhU/kWoUqIf49H8Z0+Vbh6UF/y0OEYp0Q0axOGzaBGs7QxRwq0knSQ8khQNA==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.27.0.tgz",
+      "integrity": "sha512-4henw4zkePi5p252c8ncBLzLce52SEUz2Ebj8faDnuUXz2UuHEONYcJ+G0oaCF+bYCWVZtrGzq3FD7YXetmnSA==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "@eslint-community/regexpp": "^4.10.0",
-        "@typescript-eslint/scope-manager": "8.26.1",
-        "@typescript-eslint/type-utils": "8.26.1",
-        "@typescript-eslint/utils": "8.26.1",
-        "@typescript-eslint/visitor-keys": "8.26.1",
+        "@typescript-eslint/scope-manager": "8.27.0",
+        "@typescript-eslint/type-utils": "8.27.0",
+        "@typescript-eslint/utils": "8.27.0",
+        "@typescript-eslint/visitor-keys": "8.27.0",
        "graphemer": "^1.4.0",
        "ignore": "^5.3.1",
        "natural-compare": "^1.4.0",
@@ -1558,16 +1558,16 @@
      }
    },
    "node_modules/@typescript-eslint/parser": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-8.26.1.tgz",
-      "integrity": "sha512-w6HZUV4NWxqd8BdeFf81t07d7/YV9s7TCWrQQbG5uhuvGUAW+fq1usZ1Hmz9UPNLniFnD8GLSsDpjP0hm1S4lQ==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-8.27.0.tgz",
+      "integrity": "sha512-XGwIabPallYipmcOk45DpsBSgLC64A0yvdAkrwEzwZ2viqGqRUJ8eEYoPz0CWnutgAFbNMPdsGGvzjSmcWVlEA==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@typescript-eslint/scope-manager": "8.26.1",
-        "@typescript-eslint/types": "8.26.1",
-        "@typescript-eslint/typescript-estree": "8.26.1",
-        "@typescript-eslint/visitor-keys": "8.26.1",
+        "@typescript-eslint/scope-manager": "8.27.0",
+        "@typescript-eslint/types": "8.27.0",
+        "@typescript-eslint/typescript-estree": "8.27.0",
+        "@typescript-eslint/visitor-keys": "8.27.0",
        "debug": "^4.3.4"
      },
      "engines": {
@@ -1583,14 +1583,14 @@
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    },
    "node_modules/@typescript-eslint/scope-manager": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.26.1.tgz",
-      "integrity": "sha512-6EIvbE5cNER8sqBu6V7+KeMZIC1664d2Yjt+B9EWUXrsyWpxx4lEZrmvxgSKRC6gX+efDL/UY9OpPZ267io3mg==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.27.0.tgz",
+      "integrity": "sha512-8oI9GwPMQmBryaaxG1tOZdxXVeMDte6NyJA4i7/TWa4fBwgnAXYlIQP+uYOeqAaLJ2JRxlG9CAyL+C+YE9Xknw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@typescript-eslint/types": "8.26.1",
-        "@typescript-eslint/visitor-keys": "8.26.1"
+        "@typescript-eslint/types": "8.27.0",
+        "@typescript-eslint/visitor-keys": "8.27.0"
      },
      "engines": {
        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -1601,14 +1601,14 @@
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    },
    "node_modules/@typescript-eslint/type-utils": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.26.1.tgz",
-      "integrity": "sha512-Kcj/TagJLwoY/5w9JGEFV0dclQdyqw9+VMndxOJKtoFSjfZhLXhYjzsQEeyza03rwHx2vFEGvrJWJBXKleRvZg==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.27.0.tgz",
+      "integrity": "sha512-wVArTVcz1oJOIEJxui/nRhV0TXzD/zMSOYi/ggCfNq78EIszddXcJb7r4RCp/oBrjt8n9A0BSxRMKxHftpDxDA==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@typescript-eslint/typescript-estree": "8.26.1",
-        "@typescript-eslint/utils": "8.26.1",
+        "@typescript-eslint/typescript-estree": "8.27.0",
+        "@typescript-eslint/utils": "8.27.0",
        "debug": "^4.3.4",
        "ts-api-utils": "^2.0.1"
      },
@@ -1625,9 +1625,9 @@
      }
    },
    "node_modules/@typescript-eslint/types": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.26.1.tgz",
-      "integrity": "sha512-n4THUQW27VmQMx+3P+B0Yptl7ydfceUj4ON/AQILAASwgYdZ/2dhfymRMh5egRUrvK5lSmaOm77Ry+lmXPOgBQ==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.27.0.tgz",
+      "integrity": "sha512-/6cp9yL72yUHAYq9g6DsAU+vVfvQmd1a8KyA81uvfDE21O2DwQ/qxlM4AR8TSdAu+kJLBDrEHKC5/W2/nxsY0A==",
      "dev": true,
      "license": "MIT",
      "engines": {
@@ -1639,14 +1639,14 @@
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    },
    "node_modules/@typescript-eslint/typescript-estree": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.26.1.tgz",
-      "integrity": "sha512-yUwPpUHDgdrv1QJ7YQal3cMVBGWfnuCdKbXw1yyjArax3353rEJP1ZA+4F8nOlQ3RfS2hUN/wze3nlY+ZOhvoA==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.27.0.tgz",
+      "integrity": "sha512-BnKq8cqPVoMw71O38a1tEb6iebEgGA80icSxW7g+kndx0o6ot6696HjG7NdgfuAVmVEtwXUr3L8R9ZuVjoQL6A==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@typescript-eslint/types": "8.26.1",
-        "@typescript-eslint/visitor-keys": "8.26.1",
+        "@typescript-eslint/types": "8.27.0",
+        "@typescript-eslint/visitor-keys": "8.27.0",
        "debug": "^4.3.4",
        "fast-glob": "^3.3.2",
        "is-glob": "^4.0.3",
@@ -1666,16 +1666,16 @@
      }
    },
    "node_modules/@typescript-eslint/utils": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.26.1.tgz",
-      "integrity": "sha512-V4Urxa/XtSUroUrnI7q6yUTD3hDtfJ2jzVfeT3VK0ciizfK2q/zGC0iDh1lFMUZR8cImRrep6/q0xd/1ZGPQpg==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.27.0.tgz",
+      "integrity": "sha512-njkodcwH1yvmo31YWgRHNb/x1Xhhq4/m81PhtvmRngD8iHPehxffz1SNCO+kwaePhATC+kOa/ggmvPoPza5i0Q==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "@eslint-community/eslint-utils": "^4.4.0",
-        "@typescript-eslint/scope-manager": "8.26.1",
-        "@typescript-eslint/types": "8.26.1",
-        "@typescript-eslint/typescript-estree": "8.26.1"
+        "@typescript-eslint/scope-manager": "8.27.0",
+        "@typescript-eslint/types": "8.27.0",
+        "@typescript-eslint/typescript-estree": "8.27.0"
      },
      "engines": {
        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -1690,13 +1690,13 @@
      }
    },
    "node_modules/@typescript-eslint/visitor-keys": {
-      "version": "8.26.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.26.1.tgz",
-      "integrity": "sha512-AjOC3zfnxd6S4Eiy3jwktJPclqhFHNyd8L6Gycf9WUPoKZpgM5PjkxY1X7uSy61xVpiJDhhk7XT2NVsN3ALTWg==",
+      "version": "8.27.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.27.0.tgz",
+      "integrity": "sha512-WsXQwMkILJvffP6z4U3FYJPlbf/j07HIxmDjZpbNvBJkMfvwXj5ACRkkHwBDvLBbDbtX5TdU64/rcvKJ/vuInQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@typescript-eslint/types": "8.26.1",
+        "@typescript-eslint/types": "8.27.0",
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@@ -1721,9 +1721,9 @@
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@@ -1744,8 +1744,8 @@
        "url": "https://opencollective.com/vitest"
      },
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-        "@vitest/browser": "3.0.8",
-        "vitest": "3.0.8"
+        "@vitest/browser": "3.0.9",
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@@ -1754,14 +1754,14 @@
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+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-3.0.9.tgz",
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      "dev": true,
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      "dependencies": {
-        "@vitest/spy": "3.0.8",
-        "@vitest/utils": "3.0.8",
+        "@vitest/spy": "3.0.9",
+        "@vitest/utils": "3.0.9",
        "chai": "^5.2.0",
        "tinyrainbow": "^2.0.0"
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@@ -1770,13 +1770,13 @@
      }
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    "node_modules/@vitest/mocker": {
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+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-3.0.9.tgz",
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      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/spy": "3.0.8",
+        "@vitest/spy": "3.0.9",
        "estree-walker": "^3.0.3",
        "magic-string": "^0.30.17"
      },
@@ -1797,9 +1797,9 @@
      }
    },
    "node_modules/@vitest/pretty-format": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@vitest/pretty-format/-/pretty-format-3.0.8.tgz",
-      "integrity": "sha512-BNqwbEyitFhzYMYHUVbIvepOyeQOSFA/NeJMIP9enMntkkxLgOcgABH6fjyXG85ipTgvero6noreavGIqfJcIg==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/pretty-format/-/pretty-format-3.0.9.tgz",
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@@ -1810,13 +1810,13 @@
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    "node_modules/@vitest/runner": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@vitest/runner/-/runner-3.0.8.tgz",
-      "integrity": "sha512-c7UUw6gEcOzI8fih+uaAXS5DwjlBaCJUo7KJ4VvJcjL95+DSR1kova2hFuRt3w41KZEFcOEiq098KkyrjXeM5w==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/runner/-/runner-3.0.9.tgz",
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      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/utils": "3.0.8",
+        "@vitest/utils": "3.0.9",
        "pathe": "^2.0.3"
      },
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@@ -1824,13 +1824,13 @@
      }
    },
    "node_modules/@vitest/snapshot": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@vitest/snapshot/-/snapshot-3.0.8.tgz",
-      "integrity": "sha512-x8IlMGSEMugakInj44nUrLSILh/zy1f2/BgH0UeHpNyOocG18M9CWVIFBaXPt8TrqVZWmcPjwfG/ht5tnpba8A==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/snapshot/-/snapshot-3.0.9.tgz",
+      "integrity": "sha512-AiLUiuZ0FuA+/8i19mTYd+re5jqjEc2jZbgJ2up0VY0Ddyyxg/uUtBDpIFAy4uzKaQxOW8gMgBdAJJ2ydhu39A==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/pretty-format": "3.0.8",
+        "@vitest/pretty-format": "3.0.9",
        "magic-string": "^0.30.17",
        "pathe": "^2.0.3"
      },
@@ -1839,9 +1839,9 @@
      }
    },
    "node_modules/@vitest/spy": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@vitest/spy/-/spy-3.0.8.tgz",
-      "integrity": "sha512-MR+PzJa+22vFKYb934CejhR4BeRpMSoxkvNoDit68GQxRLSf11aT6CTj3XaqUU9rxgWJFnqicN/wxw6yBRkI1Q==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/spy/-/spy-3.0.9.tgz",
+      "integrity": "sha512-/CcK2UDl0aQ2wtkp3YVWldrpLRNCfVcIOFGlVGKO4R5eajsH393Z1yiXLVQ7vWsj26JOEjeZI0x5sm5P4OGUNQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -1852,13 +1852,13 @@
      }
    },
    "node_modules/@vitest/utils": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/@vitest/utils/-/utils-3.0.8.tgz",
-      "integrity": "sha512-nkBC3aEhfX2PdtQI/QwAWp8qZWwzASsU4Npbcd5RdMPBSSLCpkZp52P3xku3s3uA0HIEhGvEcF8rNkBsz9dQ4Q==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/@vitest/utils/-/utils-3.0.9.tgz",
+      "integrity": "sha512-ilHM5fHhZ89MCp5aAaM9uhfl1c2JdxVxl3McqsdVyVNN6JffnEen8UMCdRTzOhGXNQGo5GNL9QugHrz727Wnng==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/pretty-format": "3.0.8",
+        "@vitest/pretty-format": "3.0.9",
        "loupe": "^3.1.3",
        "tinyrainbow": "^2.0.0"
      },
@@ -2379,19 +2379,19 @@
      }
    },
    "node_modules/eslint": {
-      "version": "9.22.0",
-      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.22.0.tgz",
-      "integrity": "sha512-9V/QURhsRN40xuHXWjV64yvrzMjcz7ZyNoF2jJFmy9j/SLk0u1OLSZgXi28MrXjymnjEGSR80WCdab3RGMDveQ==",
+      "version": "9.23.0",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.23.0.tgz",
+      "integrity": "sha512-jV7AbNoFPAY1EkFYpLq5bslU9NLNO8xnEeQXwErNibVryjk67wHVmddTBilc5srIttJDBrB0eMHKZBFbSIABCw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "@eslint-community/eslint-utils": "^4.2.0",
        "@eslint-community/regexpp": "^4.12.1",
        "@eslint/config-array": "^0.19.2",
-        "@eslint/config-helpers": "^0.1.0",
+        "@eslint/config-helpers": "^0.2.0",
        "@eslint/core": "^0.12.0",
-        "@eslint/eslintrc": "^3.3.0",
-        "@eslint/js": "9.22.0",
+        "@eslint/eslintrc": "^3.3.1",
+        "@eslint/js": "9.23.0",
        "@eslint/plugin-kit": "^0.2.7",
        "@humanfs/node": "^0.16.6",
        "@humanwhocodes/module-importer": "^1.0.1",
@@ -4360,9 +4360,9 @@
      }
    },
    "node_modules/vite": {
-      "version": "6.2.1",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.1.tgz",
-      "integrity": "sha512-n2GnqDb6XPhlt9B8olZPrgMD/es/Nd1RdChF6CBD/fHW6pUyUTt2sQW2fPRX5GiD9XEa6+8A6A4f2vT6pSsE7Q==",
+      "version": "6.2.3",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.3.tgz",
+      "integrity": "sha512-IzwM54g4y9JA/xAeBPNaDXiBF8Jsgl3VBQ2YQ/wOY6fyW3xMdSoltIV3Bo59DErdqdE6RxUfv8W69DvUorE4Eg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -4432,9 +4432,9 @@
      }
    },
    "node_modules/vite-node": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.8.tgz",
-      "integrity": "sha512-6PhR4H9VGlcwXZ+KWCdMqbtG649xCPZqfI9j2PsK1FcXgEzro5bGHcVKFCTqPLaNKZES8Evqv4LwvZARsq5qlg==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.9.tgz",
+      "integrity": "sha512-w3Gdx7jDcuT9cNn9jExXgOyKmf5UOTb6WMHz8LGAm54eS1Elf5OuBhCxl6zJxGhEeIkgsE1WbHuoL0mj/UXqXg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -4475,19 +4475,19 @@
      }
    },
    "node_modules/vitest": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.8.tgz",
-      "integrity": "sha512-dfqAsNqRGUc8hB9OVR2P0w8PZPEckti2+5rdZip0WIz9WW0MnImJ8XiR61QhqLa92EQzKP2uPkzenKOAHyEIbA==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.9.tgz",
+      "integrity": "sha512-BbcFDqNyBlfSpATmTtXOAOj71RNKDDvjBM/uPfnxxVGrG+FSH2RQIwgeEngTaTkuU/h0ScFvf+tRcKfYXzBybQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/expect": "3.0.8",
-        "@vitest/mocker": "3.0.8",
-        "@vitest/pretty-format": "^3.0.8",
-        "@vitest/runner": "3.0.8",
-        "@vitest/snapshot": "3.0.8",
-        "@vitest/spy": "3.0.8",
-        "@vitest/utils": "3.0.8",
+        "@vitest/expect": "3.0.9",
+        "@vitest/mocker": "3.0.9",
+        "@vitest/pretty-format": "^3.0.9",
+        "@vitest/runner": "3.0.9",
+        "@vitest/snapshot": "3.0.9",
+        "@vitest/spy": "3.0.9",
+        "@vitest/utils": "3.0.9",
        "chai": "^5.2.0",
        "debug": "^4.4.0",
        "expect-type": "^1.1.0",
@@ -4499,7 +4499,7 @@
        "tinypool": "^1.0.2",
        "tinyrainbow": "^2.0.0",
        "vite": "^5.0.0 || ^6.0.0",
-        "vite-node": "3.0.8",
+        "vite-node": "3.0.9",
        "why-is-node-running": "^2.3.0"
      },
      "bin": {
@@ -4515,8 +4515,8 @@
        "@edge-runtime/vm": "*",
        "@types/debug": "^4.1.12",
        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
-        "@vitest/browser": "3.0.8",
-        "@vitest/ui": "3.0.8",
+        "@vitest/browser": "3.0.9",
+        "@vitest/ui": "3.0.9",
        "happy-dom": "*",
        "jsdom": "*"
      },
--- a/cli/package.json
+++ b/cli/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@immich/cli",
-  "version": "2.2.54",
+  "version": "2.2.57",
  "description": "Command Line Interface (CLI) for Immich",
  "type": "module",
  "exports": "./dist/index.js",
--- a/docs/docs/features/ml-hardware-acceleration.md
+++ b/docs/docs/features/ml-hardware-acceleration.md
@@ -71,7 +71,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele

 1. If you do not already have it, download the latest [`hwaccel.ml.yml`][hw-file] file and ensure it's in the same folder as the `docker-compose.yml`.
 2. In the `docker-compose.yml` under `immich-machine-learning`, uncomment the `extends` section and change `cpu` to the appropriate backend.
-3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino] to the `image` section's tag at the end of the line.
+3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino, rknn] to the `image` section's tag at the end of the line.
 4. Redeploy the `immich-machine-learning` container with these updated settings.

 ### Confirming Device Usage
--- a/docs/docs/features/searching.md
+++ b/docs/docs/features/searching.md
@@ -81,7 +81,7 @@ Memory and execution time estimates were obtained without acceleration on a 7800

 **Memory (MiB)**: The peak RSS usage of the process afer performing the above timing benchmark. Does not include image decoding, concurrent processing, the web server, etc., which are relatively constant factors.

-**Recall (%)**: Evaluated on Crossmodal-3600, the average of the recall@1, recall@5 and recall@10 results for zeroshot image retrieval.
+**Recall (%)**: Evaluated on Crossmodal-3600, the average of the recall@1, recall@5 and recall@10 results for zeroshot image retrieval. Chinese (Simplified), English, French, German, Italian, Japanese, Korean, Polish, Russian, Spanish and Turkish are additionally tested on XTD-10. Chinese (Simplified) and English are additionally tested on Flickr30k. The recall metrics are the average across all tested datasets.

 **Pareto Optimal**: Whether the model is not completely outclassed by another model. Try to use models that are optimal for the languages relevant to you. Specifically, for a given model and language, if there's another model that's better for that language in at least one respect (memory usage, execution time, recall) while being at least as good for that language in every other way, then the model is not optimal for that language.

@@ -93,59 +93,59 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>English</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 75.73      | ✅             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 75.44      | ✅             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 75.19      | ✅             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 75.09      | ❌             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 75.07      | ❌             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 75.01      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 74.92      | ❌             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 74.9       | ❌             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 74.87      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 74.87      | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 74.77      | ❌             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 74.28      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 74.26      | ✅             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 73.15      | ✅             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 72.78      | ✅             |
-| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 72.58      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 72.57      | ❌             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 72.47      | ✅             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 72.45      | ✅             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 72.44      | ❌             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 72.37      | ❌             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 71.64      | ✅             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 71.63      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 71.45      | ❌             |
-| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 71.33      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 71.19      | ❌             |
-| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 69.86      | ❌             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 69.66      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 69.38      | ❌             |
-| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 68.78      | ✅             |
-| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 68.53      | ❌             |
-| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 68.53      | ❌             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 68.53      | ❌             |
-| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 68.51      | ❌             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 68.41      | ❌             |
-| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 68.41      | ❌             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 68.33      | ❌             |
-| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 66.96      | ✅             |
-| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 66.95      | ✅             |
-| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 65.65      | ✅             |
-| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 65.49      | ❌             |
-| ViT-L-14__openai                                     | 2212         | 19.91               | 60.12      | ❌             |
-| ViT-B-32__openai                                     | 1004         | 2.26                | 59.37      | ✅             |
-| RN50x64__openai                                      | 5079         | 48.79               | 59.36      | ❌             |
-| RN50x16__openai                                      | 2221         | 15.87               | 59.17      | ❌             |
-| ViT-L-14-336__openai                                 | 2616         | 43.45               | 59.09      | ❌             |
-| RN50__openai                                         | 913          | 2.39                | 58.32      | ✅             |
-| ViT-B-16__openai                                     | 985          | 5.03                | 58.27      | ❌             |
-| RN50x4__openai                                       | 1416         | 5.85                | 57.88      | ❌             |
-| RN50__cc12m                                          | 914          | 2.37                | 57.75      | ✅             |
-| RN101__openai                                        | 1111         | 3.21                | 57.7       | ❌             |
-| RN101__yfcc15m                                       | 1111         | 3.22                | 50.11      | ❌             |
-| RN50__yfcc15m                                        | 908          | 2.34                | 48.28      | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 85.99      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 85.96      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 85.96      | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 85.93      | ❌             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 85.78      | ❌             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 85.75      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 85.62      | ✅             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 85.53      | ✅             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 85.48      | ❌             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 85.47      | ✅             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 85.09      | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 85.03      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 84.86      | ✅             |
+| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 84.61      | ❌             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 84.17      | ❌             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 83.51      | ❌             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 83.28      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 83.24      | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 83.23      | ❌             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 83.19      | ✅             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 82.54      | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 82.43      | ❌             |
+| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 82.36      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 82.28      | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 81.9       | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 81.9       | ❌             |
+| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 80.82      | ❌             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 80.65      | ❌             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 80.16      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 79.78      | ❌             |
+| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 78.64      | ❌             |
+| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 78.6       | ❌             |
+| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 78.06      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 78.06      | ❌             |
+| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 77.62      | ✅             |
+| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 77.47      | ❌             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 76.91      | ❌             |
+| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 76.43      | ✅             |
+| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 76.35      | ❌             |
+| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 73.83      | ✅             |
+| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 73.62      | ❌             |
+| RN50x64__openai                                      | 5079         | 48.79               | 73.34      | ❌             |
+| ViT-L-14__openai                                     | 2212         | 19.91               | 72.99      | ❌             |
+| ViT-L-14-336__openai                                 | 2616         | 43.45               | 72.76      | ❌             |
+| RN50x16__openai                                      | 2221         | 15.87               | 72.59      | ❌             |
+| RN50x4__openai                                       | 1416         | 5.85                | 70.8       | ❌             |
+| ViT-B-16__openai                                     | 985          | 5.03                | 70.01      | ❌             |
+| ViT-B-32__openai                                     | 1004         | 2.26                | 69.9       | ✅             |
+| RN101__openai                                        | 1111         | 3.21                | 69.3       | ❌             |
+| RN50__openai                                         | 913          | 2.39                | 69.02      | ✅             |
+| RN50__cc12m                                          | 914          | 2.37                | 64.59      | ✅             |
+| RN101__yfcc15m                                       | 1111         | 3.22                | 55.21      | ❌             |
+| RN50__yfcc15m                                        | 908          | 2.34                | 53.63      | ✅             |
 </details>
 <details>
 <summary>Arabic</summary>
@@ -156,8 +156,8 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 | nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 74.03      | ✅             |
 | nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 73.19      | ✅             |
 | ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 69.31      | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 69.29      | ❌             |
 | ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 69.29      | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 69.29      | ❌             |
 | ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 68.64      | ✅             |
 | ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 68.35      | ✅             |
 | ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 68.25      | ✅             |
@@ -195,25 +195,25 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>Chinese (Simplified)</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 77.49      | ✅             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 77.19      | ✅             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 76.98      | ❌             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 72.89      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 72.65      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 72.52      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 67.83      | ❌             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 67.81      | ❌             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 67.51      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 67.39      | ❌             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 67.33      | ❌             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 67.23      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 67.05      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 66.87      | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 66.24      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 66.1       | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 65.56      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 64.39      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 62.56      | ❌             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 79.7       | ✅             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 78.94      | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 75.22      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 74.8       | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 73.91      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 72.8       | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 72.77      | ❌             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 72.41      | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 72.36      | ✅             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 71.59      | ❌             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 71.37      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 71.3       | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 71.11      | ✅             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 70.95      | ✅             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 70.51      | ✅             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 67.48      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 66.84      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 65.7       | ✅             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 63.38      | ❌             |
 </details>
 <details>
 <summary>Croatian</summary>
@@ -324,8 +324,8 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
 | ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 80.05      | ✅             |
 | ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 79.81      | ❌             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 79.72      | ❌             |
 | ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 79.72      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 79.72      | ❌             |
 | ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 79.64      | ✅             |
 | ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 79.49      | ✅             |
 | nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 79.41      | ❌             |
@@ -357,8 +357,8 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 | ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 29.56      | ❌             |
 | ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 29.54      | ✅             |
 | ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 29.36      | ❌             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 27.76      | ❌             |
 | ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 27.76      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 27.76      | ❌             |
 | ViT-B-16__laion400m_e32                              | 975          | 4.98                | 25.67      | ✅             |
 | ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 25.59      | ❌             |
 | ViT-B-16__laion400m_e31                              | 991          | 5.04                | 25.53      | ❌             |
@@ -384,8 +384,8 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 | ViT-SO400M-16-SigLIP2-384__webli | 3854         | 56.57               | 34.27      | ❌             |
 | ViT-SO400M-14-SigLIP2__webli     | 3622         | 27.63               | 34.14      | ❌             |
 | ViT-SO400M-16-SigLIP2-256__webli | 3611         | 27.84               | 33.98      | ❌             |
-| ViT-L-16-SigLIP2-512__webli      | 3358         | 92.59               | 30.57      | ❌             |
 | ViT-L-16-SigLIP2-384__webli      | 3057         | 51.7                | 30.57      | ❌             |
+| ViT-L-16-SigLIP2-512__webli      | 3358         | 92.59               | 30.57      | ❌             |
 | ViT-L-16-SigLIP2-256__webli      | 2830         | 23.77               | 30.05      | ✅             |
 | ViT-L-16-SigLIP-384__webli       | 3396         | 47.6                | 24.92      | ❌             |
 | ViT-L-16-SigLIP-256__webli       | 3160         | 23.84               | 24.02      | ❌             |
@@ -422,110 +422,111 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>French</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 88.01      | ✅             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 87.74      | ❌             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 87.69      | ✅             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 87.6       | ✅             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 87.58      | ✅             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 87.51      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 87.23      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 86.9       | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 86.9       | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 86.44      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 86.44      | ❌             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 86.28      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 86.11      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 86.08      | ✅             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 84.49      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 84.3       | ✅             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 83.03      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 82.93      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 82.27      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 82.14      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 80.96      | ❌             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 80.64      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 80.28      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 79.65      | ✅             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 77.4       | ✅             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 76.88      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 76.3       | ✅             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 75.68      | ❌             |
-| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 69.59      | ❌             |
-| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 68.36      | ❌             |
-| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 61.78      | ❌             |
-| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 58.4       | ❌             |
-| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 58.35      | ❌             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 57.17      | ❌             |
-| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 57.17      | ❌             |
-| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 57.05      | ✅             |
-| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 56.08      | ✅             |
-| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 52.96      | ✅             |
-| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 52.83      | ✅             |
-| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 51.88      | ❌             |
-| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 51.82      | ✅             |
-| RN50x64__openai                                      | 5079         | 48.79               | 42.86      | ❌             |
-| ViT-L-14-336__openai                                 | 2616         | 43.45               | 42.81      | ❌             |
-| ViT-L-14__openai                                     | 2212         | 19.91               | 42.54      | ❌             |
-| RN50x16__openai                                      | 2221         | 15.87               | 41.72      | ❌             |
-| RN50x4__openai                                       | 1416         | 5.85                | 38.85      | ❌             |
-| RN101__openai                                        | 1111         | 3.21                | 36.79      | ❌             |
-| ViT-B-16__openai                                     | 985          | 5.03                | 36.47      | ❌             |
-| ViT-B-32__openai                                     | 1004         | 2.26                | 35.17      | ✅             |
-| RN50__openai                                         | 913          | 2.39                | 34.44      | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 86.5       | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 86.5       | ❌             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 86.39      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 86.15      | ❌             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 86.1       | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 86.07      | ❌             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 86.06      | ❌             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 85.89      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 85.67      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 85.67      | ✅             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 85.63      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 85.39      | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 85.35      | ✅             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 84.97      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 83.8       | ✅             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 82.96      | ❌             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 82.91      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 82.52      | ❌             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 81.21      | ✅             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 80.23      | ✅             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 79.85      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 79.47      | ✅             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 79.3       | ❌             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 77.49      | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 76.82      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 75.94      | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 75.3       | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 75.24      | ❌             |
+| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 69.33      | ❌             |
+| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 64.41      | ❌             |
+| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 62.86      | ❌             |
+| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 59.27      | ❌             |
+| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 59.09      | ❌             |
+| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 58.25      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 58.25      | ❌             |
+| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 56.97      | ✅             |
+| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 56.21      | ✅             |
+| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 53.36      | ✅             |
+| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 53.33      | ✅             |
+| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 53.26      | ❌             |
+| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 53.22      | ❌             |
+| ViT-L-14__openai                                     | 2212         | 19.91               | 46.34      | ❌             |
+| RN50x64__openai                                      | 5079         | 48.79               | 46.3       | ❌             |
+| ViT-L-14-336__openai                                 | 2616         | 43.45               | 45.95      | ❌             |
+| RN50x16__openai                                      | 2221         | 15.87               | 45.69      | ❌             |
+| RN50x4__openai                                       | 1416         | 5.85                | 42.48      | ❌             |
+| RN101__openai                                        | 1111         | 3.21                | 40.16      | ❌             |
+| ViT-B-16__openai                                     | 985          | 5.03                | 40.1       | ❌             |
+| ViT-B-32__openai                                     | 1004         | 2.26                | 38.27      | ✅             |
+| RN50__openai                                         | 913          | 2.39                | 37.8       | ✅             |
 </details>
 <details>
 <summary>German</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 90.04      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 89.97      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 89.85      | ❌             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 89.81      | ✅             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 89.77      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 89.69      | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 89.45      | ✅             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 89.44      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 89.39      | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 89.35      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 89.03      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 88.82      | ✅             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 88.55      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 88.42      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 87.19      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 86.44      | ✅             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 84.81      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 84.81      | ❌             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 84.58      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 84.44      | ✅             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 83.33      | ✅             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 82.75      | ❌             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 82.32      | ❌             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 81.63      | ✅             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 76.76      | ✅             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 76.33      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 75.19      | ✅             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 75.07      | ❌             |
-| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 64.61      | ❌             |
-| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 52.81      | ❌             |
-| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 42.88      | ❌             |
-| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 38.65      | ❌             |
-| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 38.37      | ❌             |
-| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 37.65      | ✅             |
-| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 36.6       | ✅             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 35.44      | ❌             |
-| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 35.44      | ❌             |
-| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 32.46      | ✅             |
-| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 32.31      | ✅             |
-| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 31.85      | ✅             |
-| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 31.81      | ❌             |
-| RN50x64__openai                                      | 5079         | 48.79               | 28.41      | ❌             |
-| ViT-L-14__openai                                     | 2212         | 19.91               | 27.63      | ❌             |
-| ViT-L-14-336__openai                                 | 2616         | 43.45               | 27.09      | ❌             |
-| RN50x16__openai                                      | 2221         | 15.87               | 24.48      | ❌             |
-| RN50x4__openai                                       | 1416         | 5.85                | 23.49      | ❌             |
-| RN50__openai                                         | 913          | 2.39                | 20.91      | ✅             |
-| ViT-B-16__openai                                     | 985          | 5.03                | 20.83      | ❌             |
-| RN101__openai                                        | 1111         | 3.21                | 20.39      | ❌             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 87.32      | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 87.29      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 87.29      | ❌             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 87.21      | ✅             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 87.18      | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 87.14      | ❌             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 87.07      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 86.83      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 86.81      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 86.75      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 86.74      | ✅             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 86.68      | ❌             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 86.56      | ✅             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 86.16      | ✅             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 84.54      | ❌             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 84.41      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 84.25      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 83.8       | ❌             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 82.59      | ✅             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 81.53      | ✅             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 81.34      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 81.15      | ✅             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 81.05      | ❌             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 78.35      | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 76.56      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 76.0       | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 75.21      | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 75.14      | ❌             |
+| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 65.86      | ❌             |
+| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 56.87      | ❌             |
+| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 47.19      | ❌             |
+| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 43.36      | ❌             |
+| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 43.0       | ❌             |
+| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 41.81      | ✅             |
+| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 40.43      | ✅             |
+| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 40.41      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 40.41      | ❌             |
+| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 37.71      | ✅             |
+| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 37.64      | ✅             |
+| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 36.04      | ✅             |
+| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 35.9       | ❌             |
+| RN50x64__openai                                      | 5079         | 48.79               | 34.19      | ❌             |
+| ViT-L-14__openai                                     | 2212         | 19.91               | 33.1       | ❌             |
+| ViT-L-14-336__openai                                 | 2616         | 43.45               | 32.25      | ❌             |
+| RN50x16__openai                                      | 2221         | 15.87               | 30.56      | ❌             |
+| RN50x4__openai                                       | 1416         | 5.85                | 29.2       | ❌             |
+| ViT-B-16__openai                                     | 985          | 5.03                | 25.77      | ❌             |
+| RN101__openai                                        | 1111         | 3.21                | 25.46      | ❌             |
+| RN50__openai                                         | 913          | 2.39                | 24.92      | ✅             |
+| ViT-B-32__openai                                     | 1004         | 2.26                | 24.13      | ✅             |
 </details>
 <details>
 <summary>Greek</summary>
@@ -542,10 +543,10 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 | ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 60.63      | ❌             |
 | ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 60.41      | ❌             |
 | ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 60.1       | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 60.06      | ❌             |
 | ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 60.06      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 59.44      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 60.06      | ❌             |
 | ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 59.44      | ❌             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 59.44      | ❌             |
 | ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 59.43      | ✅             |
 | ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 58.78      | ✅             |
 | ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 53.42      | ❌             |
@@ -670,99 +671,104 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>Italian</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 88.6       | ✅             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 88.25      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 88.12      | ✅             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 88.04      | ✅             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 87.97      | ❌             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 87.69      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 87.29      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 87.06      | ❌             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 86.91      | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 86.88      | ✅             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 86.68      | ✅             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 86.61      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 85.55      | ❌             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 85.37      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 83.78      | ✅             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 83.0       | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 81.81      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 81.77      | ❌             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 81.32      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 80.97      | ❌             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 80.53      | ✅             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 80.1       | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 79.71      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 77.31      | ✅             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 75.19      | ✅             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 74.49      | ✅             |
-| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 74.04      | ❌             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 73.68      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 73.57      | ✅             |
-| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 51.04      | ❌             |
-| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 41.73      | ❌             |
-| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 36.87      | ❌             |
-| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 36.84      | ❌             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 34.68      | ❌             |
-| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 34.68      | ❌             |
-| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 34.64      | ✅             |
-| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 33.8       | ✅             |
-| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 30.11      | ✅             |
-| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 30.04      | ❌             |
-| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 29.89      | ❌             |
-| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 29.88      | ✅             |
-| RN50x64__openai                                      | 5079         | 48.79               | 26.67      | ❌             |
-| ViT-L-14__openai                                     | 2212         | 19.91               | 25.51      | ❌             |
-| ViT-L-14-336__openai                                 | 2616         | 43.45               | 25.3       | ❌             |
-| RN50x16__openai                                      | 2221         | 15.87               | 21.37      | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 87.17      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 86.91      | ✅             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 86.83      | ❌             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 86.77      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 86.67      | ✅             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 86.42      | ❌             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 86.35      | ✅             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 86.34      | ❌             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 86.18      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 86.17      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 85.84      | ✅             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 85.8       | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 85.7       | ✅             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 85.67      | ❌             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 83.32      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 82.95      | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 82.73      | ❌             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 82.72      | ❌             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 81.07      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 80.8       | ✅             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 80.6       | ✅             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 80.35      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 78.79      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 76.62      | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 76.51      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 76.08      | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 75.29      | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 75.29      | ❌             |
+| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 74.84      | ❌             |
+| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 56.32      | ❌             |
+| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 47.25      | ❌             |
+| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 43.09      | ❌             |
+| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 42.99      | ❌             |
+| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 40.29      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 40.29      | ❌             |
+| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 39.67      | ✅             |
+| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 39.03      | ✅             |
+| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 36.14      | ✅             |
+| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 35.89      | ❌             |
+| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 35.59      | ❌             |
+| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 35.56      | ✅             |
+| RN50x64__openai                                      | 5079         | 48.79               | 33.53      | ❌             |
+| ViT-L-14__openai                                     | 2212         | 19.91               | 32.19      | ❌             |
+| ViT-L-14-336__openai                                 | 2616         | 43.45               | 30.95      | ❌             |
+| RN50x16__openai                                      | 2221         | 15.87               | 28.85      | ❌             |
+| RN50x4__openai                                       | 1416         | 5.85                | 25.75      | ❌             |
+| ViT-B-16__openai                                     | 985          | 5.03                | 25.18      | ❌             |
+| RN101__openai                                        | 1111         | 3.21                | 24.48      | ❌             |
+| RN50__openai                                         | 913          | 2.39                | 23.89      | ✅             |
+| ViT-B-32__openai                                     | 1004         | 2.26                | 23.39      | ✅             |
 </details>
 <details>
 <summary>Japanese</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 86.97      | ✅             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 85.15      | ❌             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 84.69      | ❌             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 81.77      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 81.26      | ❌             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 81.19      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 69.99      | ❌             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 68.58      | ❌             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 68.35      | ❌             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 68.29      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 67.99      | ❌             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 67.68      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 67.67      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 66.85      | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 66.54      | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 65.77      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 61.48      | ✅             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 58.1       | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 55.31      | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 83.95      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 82.21      | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 81.55      | ❌             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 78.72      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 78.53      | ❌             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 75.93      | ✅             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 66.86      | ❌             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 65.59      | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 65.48      | ❌             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 65.36      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 64.47      | ❌             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 64.17      | ❌             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 64.08      | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 63.69      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 63.33      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 63.02      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 58.39      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 56.38      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 53.16      | ❌             |
 </details>
 <details>
 <summary>Korean</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 77.21      | ✅             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 76.89      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 75.72      | ✅             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 75.06      | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 74.94      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 74.36      | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 74.09      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 73.61      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 73.55      | ✅             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 73.41      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 73.18      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 72.79      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 72.27      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 71.73      | ✅             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 71.12      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 70.25      | ✅             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 67.54      | ✅             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 67.37      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 65.44      | ✅             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 80.56      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 80.53      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 77.09      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 77.08      | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 76.97      | ❌             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 76.92      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 76.58      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 76.2       | ✅             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 75.95      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 75.86      | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 75.67      | ✅             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 75.49      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 74.6       | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 74.52      | ✅             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 73.88      | ❌             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 71.09      | ✅             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 68.87      | ✅             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 67.94      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 66.39      | ✅             |
 </details>
 <details>
 <summary>Maori</summary>
@@ -834,34 +840,34 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>Polish</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 80.6       | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 80.17      | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 80.06      | ❌             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 80.04      | ✅             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 79.98      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 79.8       | ✅             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 79.72      | ✅             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 79.66      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 79.45      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 79.26      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 79.21      | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 79.14      | ✅             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 78.23      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 75.33      | ✅             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 74.7       | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 74.63      | ❌             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 73.69      | ✅             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 73.44      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 70.34      | ❌             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 59.4       | ❌             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 59.14      | ❌             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 48.74      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 48.35      | ❌             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 40.76      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 39.13      | ✅             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 39.09      | ❌             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 38.55      | ❌             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 38.46      | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 83.49      | ✅             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 83.45      | ❌             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 83.11      | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 82.99      | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 82.96      | ❌             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 82.93      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 82.61      | ❌             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 82.26      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 82.24      | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 82.03      | ✅             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 82.03      | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 81.92      | ✅             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 81.27      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 80.0       | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 79.65      | ✅             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 76.75      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 76.52      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 75.1       | ✅             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 73.9       | ❌             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 65.03      | ❌             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 64.89      | ❌             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 51.6       | ❌             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 51.29      | ❌             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 46.15      | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 41.55      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 41.17      | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 40.9       | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 40.76      | ✅             |
 </details>
 <details>
 <summary>Portuguese</summary>
@@ -955,84 +961,87 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>Russian</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 87.65      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 87.62      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 87.4       | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 87.39      | ❌             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 86.88      | ❌             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 86.87      | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 86.74      | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 86.26      | ✅             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 85.98      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 85.66      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 85.54      | ❌             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 84.69      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 84.29      | ✅             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 84.24      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 82.86      | ✅             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 81.59      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 80.56      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 80.44      | ❌             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 79.99      | ❌             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 39.51      | ❌             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 39.16      | ❌             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 23.33      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 22.4       | ❌             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 84.54      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 84.41      | ❌             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 84.36      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 84.31      | ❌             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 84.22      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 83.9       | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 83.69      | ✅             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 83.5       | ✅             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 83.31      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 83.21      | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 83.11      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 82.7       | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 82.69      | ❌             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 80.91      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 79.75      | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 79.35      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 78.91      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 78.06      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 76.44      | ✅             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 42.81      | ❌             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 42.1       | ❌             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 24.95      | ❌             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 24.25      | ❌             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 20.85      | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 20.44      | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 20.41      | ❌             |
 </details>
 <details>
 <summary>Spanish</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 84.24      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 83.94      | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 83.91      | ❌             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 83.78      | ✅             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 83.71      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 83.59      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 83.2       | ✅             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 83.0       | ❌             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 82.91      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 82.58      | ❌             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 82.5       | ✅             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 82.48      | ❌             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 82.22      | ✅             |
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 81.34      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 80.18      | ❌             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 80.14      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 78.99      | ✅             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 78.19      | ✅             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 78.15      | ❌             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 77.93      | ✅             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 77.64      | ❌             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 77.21      | ❌             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 76.36      | ❌             |
-| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 75.73      | ✅             |
-| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 75.56      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 75.01      | ✅             |
-| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 74.62      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 74.6       | ✅             |
-| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 70.31      | ❌             |
-| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 58.31      | ❌             |
-| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 49.56      | ❌             |
-| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 46.69      | ❌             |
-| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 46.53      | ❌             |
-| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 44.05      | ❌             |
-| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 44.05      | ❌             |
-| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 43.67      | ✅             |
-| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 42.5       | ✅             |
-| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 41.03      | ✅             |
-| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 40.91      | ❌             |
-| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 40.3       | ✅             |
-| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 40.3       | ❌             |
-| RN50x64__openai                                      | 5079         | 48.79               | 37.92      | ❌             |
-| ViT-L-14-336__openai                                 | 2616         | 43.45               | 37.7       | ❌             |
-| ViT-L-14__openai                                     | 2212         | 19.91               | 37.59      | ❌             |
-| RN50x16__openai                                      | 2221         | 15.87               | 34.75      | ❌             |
-| ViT-B-16__openai                                     | 985          | 5.03                | 32.1       | ❌             |
-| RN50x4__openai                                       | 1416         | 5.85                | 32.08      | ❌             |
-| RN101__openai                                        | 1111         | 3.21                | 30.77      | ❌             |
-| RN50__openai                                         | 913          | 2.39                | 30.2       | ✅             |
-| ViT-B-32__openai                                     | 1004         | 2.26                | 29.84      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 85.47      | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 85.44      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 85.32      | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 85.22      | ❌             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 85.15      | ❌             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 84.81      | ✅             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 84.68      | ❌             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 84.6       | ✅             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 84.55      | ✅             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 84.27      | ❌             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 84.15      | ✅             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 83.87      | ❌             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 83.74      | ❌             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 83.61      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 83.15      | ❌             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 81.7       | ❌             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 80.91      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 80.73      | ✅             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 80.69      | ❌             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 80.3       | ❌             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 79.8       | ❌             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 79.71      | ✅             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 79.64      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 78.0       | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 77.83      | ❌             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 76.87      | ✅             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 76.66      | ❌             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 75.99      | ✅             |
+| ViT-SO400M-14-SigLIP-384__webli                      | 4417         | 72.19               | 71.96      | ❌             |
+| ViT-H-14__laion2b-s32b-b79k                          | 4676         | 39.06               | 62.06      | ❌             |
+| ViT-L-14__laion2b-s32b-b82k                          | 2233         | 20.56               | 53.78      | ❌             |
+| ViT-L-14__laion400m_e32                              | 2218         | 19.73               | 50.13      | ❌             |
+| ViT-L-14__laion400m_e31                              | 2183         | 19.87               | 50.0       | ❌             |
+| ViT-B-16-plus-240__laion400m_e32                     | 1246         | 6.95                | 47.39      | ❌             |
+| ViT-B-16-plus-240__laion400m_e31                     | 1263         | 6.94                | 47.39      | ❌             |
+| ViT-B-32__laion2b_e16                                | 1004         | 2.38                | 46.47      | ✅             |
+| ViT-B-32__laion2b-s34b-b79k                          | 1001         | 2.29                | 45.68      | ✅             |
+| ViT-B-16__laion400m_e31                              | 991          | 5.04                | 44.0       | ✅             |
+| ViT-B-16__laion400m_e32                              | 975          | 4.98                | 43.98      | ✅             |
+| ViT-B-32__laion400m_e32                              | 1003         | 2.35                | 43.8       | ❌             |
+| ViT-B-32__laion400m_e31                              | 999          | 2.28                | 43.73      | ✅             |
+| RN50x64__openai                                      | 5079         | 48.79               | 43.01      | ❌             |
+| ViT-L-14__openai                                     | 2212         | 19.91               | 42.96      | ❌             |
+| ViT-L-14-336__openai                                 | 2616         | 43.45               | 41.67      | ❌             |
+| RN50x16__openai                                      | 2221         | 15.87               | 40.21      | ❌             |
+| RN50x4__openai                                       | 1416         | 5.85                | 36.06      | ❌             |
+| ViT-B-16__openai                                     | 985          | 5.03                | 35.67      | ❌             |
+| RN101__openai                                        | 1111         | 3.21                | 34.62      | ❌             |
+| ViT-B-32__openai                                     | 1004         | 2.26                | 32.6       | ✅             |
+| RN50__openai                                         | 913          | 2.39                | 31.79      | ✅             |
 </details>
 <details>
 <summary>Swahili</summary>
@@ -1057,8 +1066,8 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 | ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 72.1       | ✅             |
 | ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 72.06      | ✅             |
 | ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 71.84      | ✅             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 71.7       | ✅             |
 | ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 71.7       | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 71.7       | ✅             |
 | ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 71.61      | ❌             |
 | nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 71.51      | ✅             |
 | ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 71.45      | ✅             |
@@ -1115,31 +1124,34 @@ Memory and execution time estimates were obtained without acceleration on a 7800
 <summary>Turkish</summary>
 | Model                                                | Memory (MiB) | Execution Time (ms) | Recall (%) | Pareto Optimal |
 |------------------------------------------------------|--------------|---------------------|------------|----------------|
-| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 81.15      | ✅             |
-| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 80.89      | ✅             |
-| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 78.11      | ✅             |
-| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 77.51      | ✅             |
-| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 77.36      | ✅             |
-| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 77.28      | ❌             |
-| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 77.24      | ✅             |
-| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 77.01      | ✅             |
-| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 76.37      | ❌             |
-| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 75.92      | ✅             |
-| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 75.69      | ✅             |
-| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 75.68      | ❌             |
-| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 75.54      | ✅             |
-| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 75.16      | ✅             |
-| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 73.83      | ✅             |
-| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 70.15      | ✅             |
-| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 69.19      | ✅             |
-| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 66.72      | ❌             |
-| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 64.76      | ❌             |
-| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 38.8       | ❌             |
-| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 38.48      | ❌             |
-| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 30.83      | ❌             |
-| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 30.28      | ❌             |
-| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 21.31      | ✅             |
-| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 20.08      | ✅             |
+| nllb-clip-large-siglip__mrl                          | 4248         | 75.44               | 83.91      | ✅             |
+| nllb-clip-large-siglip__v1                           | 4226         | 75.05               | 83.74      | ✅             |
+| nllb-clip-base-siglip__mrl                           | 4696         | 16.95               | 81.26      | ✅             |
+| nllb-clip-base-siglip__v1                            | 4675         | 15.17               | 80.21      | ✅             |
+| ViT-SO400M-16-SigLIP2-512__webli                     | 4050         | 107.67              | 79.34      | ✅             |
+| ViT-SO400M-14-SigLIP2-378__webli                     | 3940         | 72.25               | 79.22      | ✅             |
+| XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k | 4014         | 39.14               | 78.9       | ✅             |
+| ViT-SO400M-16-SigLIP2-384__webli                     | 3854         | 56.57               | 78.85      | ✅             |
+| ViT-SO400M-16-SigLIP2-256__webli                     | 3611         | 27.84               | 78.29      | ✅             |
+| ViT-gopt-16-SigLIP2-384__webli                       | 6585         | 146.84              | 78.27      | ❌             |
+| ViT-gopt-16-SigLIP2-256__webli                       | 6475         | 64.51               | 78.0       | ❌             |
+| ViT-SO400M-14-SigLIP2__webli                         | 3622         | 27.63               | 77.81      | ✅             |
+| ViT-L-16-SigLIP2-512__webli                          | 3358         | 92.59               | 77.67      | ✅             |
+| ViT-L-16-SigLIP2-384__webli                          | 3057         | 51.7                | 77.33      | ✅             |
+| ViT-L-16-SigLIP2-256__webli                          | 2830         | 23.77               | 76.42      | ✅             |
+| ViT-B-16-SigLIP-i18n-256__webli                      | 3029         | 6.87                | 72.44      | ✅             |
+| XLM-Roberta-Base-ViT-B-32__laion5b_s13b_b90k         | 3030         | 3.2                 | 69.84      | ✅             |
+| ViT-B-16-SigLIP2__webli                              | 3038         | 5.81                | 69.83      | ❌             |
+| ViT-B-32-SigLIP2-256__webli                          | 3061         | 3.31                | 67.13      | ❌             |
+| ViT-H-14-378-quickgelu__dfn5b                        | 5049         | 108.4               | 44.43      | ❌             |
+| ViT-H-14-quickgelu__dfn5b                            | 4701         | 38.74               | 43.87      | ❌             |
+| ViT-L-16-SigLIP-384__webli                           | 3396         | 47.6                | 35.1       | ❌             |
+| ViT-L-16-SigLIP-256__webli                           | 3160         | 23.84               | 34.92      | ❌             |
+| ViT-L-14-quickgelu__dfn2b                            | 2212         | 20.49               | 25.2       | ✅             |
+| ViT-B-16-SigLIP-512__webli                           | 1828         | 26.17               | 24.55      | ✅             |
+| ViT-B-16-SigLIP__webli                               | 1081         | 5.77                | 24.13      | ✅             |
+| ViT-B-16-SigLIP-384__webli                           | 1128         | 13.53               | 24.08      | ❌             |
+| ViT-B-16-SigLIP-256__webli                           | 1102         | 7.11                | 23.95      | ❌             |
 </details>
 <details>
 <summary>Ukrainian</summary>
--- a/docs/docs/guides/remote-machine-learning.md
+++ b/docs/docs/guides/remote-machine-learning.md
@@ -23,12 +23,12 @@ name: immich_remote_ml
 services:
  immich-machine-learning:
    container_name: immich_machine_learning
-    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino] to the image tag.
+    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.ml.yml
-    #   service: # set to one of [armnn, cuda, rocm, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
+    #   service: # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    restart: always
--- a/docs/static/archived-versions.json
+++ b/docs/static/archived-versions.json
@@ -1,4 +1,16 @@
 [
+  {
+    "label": "v1.130.3",
+    "url": "https://v1.130.3.archive.immich.app"
+  },
+  {
+    "label": "v1.130.2",
+    "url": "https://v1.130.2.archive.immich.app"
+  },
+  {
+    "label": "v1.130.1",
+    "url": "https://v1.130.1.archive.immich.app"
+  },
  {
    "label": "v1.130.0",
    "url": "https://v1.130.0.archive.immich.app"
--- a/e2e/package-lock.json
+++ b/e2e/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "immich-e2e",
-  "version": "1.130.0",
+  "version": "1.130.3",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "immich-e2e",
-      "version": "1.130.0",
+      "version": "1.130.3",
      "license": "GNU Affero General Public License version 3",
      "devDependencies": {
        "@eslint/eslintrc": "^3.1.0",
@@ -45,7 +45,7 @@
    },
    "../cli": {
      "name": "@immich/cli",
-      "version": "2.2.54",
+      "version": "2.2.57",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -95,7 +95,7 @@
    },
    "../open-api/typescript-sdk": {
      "name": "@immich/sdk",
-      "version": "1.130.0",
+      "version": "1.130.3",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -829,9 +829,9 @@
      }
    },
    "node_modules/@eslint/config-helpers": {
-      "version": "0.1.0",
-      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.1.0.tgz",
-      "integrity": "sha512-kLrdPDJE1ckPo94kmPPf9Hfd0DU0Jw6oKYrhe+pwSC0iTUInmTa+w6fw8sGgcfkFJGNdWOUeOaDM4quW4a7OkA==",
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.2.0.tgz",
+      "integrity": "sha512-yJLLmLexii32mGrhW29qvU3QBVTu0GUmEf/J4XsBtVhp4JkIUFN/BjWqTF63yRvGApIDpZm5fa97LtYtINmfeQ==",
      "dev": true,
      "license": "Apache-2.0",
      "engines": {
@@ -852,9 +852,9 @@
      }
    },
    "node_modules/@eslint/eslintrc": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.0.tgz",
-      "integrity": "sha512-yaVPAiNAalnCZedKLdR21GOGILMLKPyqSLWaAjQFvYA2i/ciDi8ArYVr69Anohb6cH2Ukhqti4aFnYyPm8wdwQ==",
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.1.tgz",
+      "integrity": "sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -889,9 +889,9 @@
      }
    },
    "node_modules/@eslint/js": {
-      "version": "9.22.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.22.0.tgz",
-      "integrity": "sha512-vLFajx9o8d1/oL2ZkpMYbkLv8nDB6yaIwFNt7nI4+I80U/z03SxmfOMsLbvWr3p7C+Wnoh//aOu2pQW8cS0HCQ==",
+      "version": "9.23.0",
+      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.23.0.tgz",
+      "integrity": "sha512-35MJ8vCPU0ZMxo7zfev2pypqTwWTofFZO6m4KAtdoFhRpLJUpHTZZ+KB3C7Hb1d7bULYwO4lJXGCi5Se+8OMbw==",
      "dev": true,
      "license": "MIT",
      "engines": {
@@ -1258,13 +1258,13 @@
      }
    },
    "node_modules/@playwright/test": {
-      "version": "1.51.0",
-      "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.51.0.tgz",
-      "integrity": "sha512-dJ0dMbZeHhI+wb77+ljx/FeC8VBP6j/rj9OAojO08JI80wTZy6vRk9KvHKiDCUh4iMpEiseMgqRBIeW+eKX6RA==",
+      "version": "1.51.1",
+      "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.51.1.tgz",
+      "integrity": "sha512-nM+kEaTSAoVlXmMPH10017vn3FSiFqr/bh4fKg9vmAdMfd9SDqRZNvPSiAHADc/itWak+qPvMPZQOPwCBW7k7Q==",
      "dev": true,
      "license": "Apache-2.0",
      "dependencies": {
-        "playwright": "1.51.0"
+        "playwright": "1.51.1"
      },
      "bin": {
        "playwright": "cli.js"
@@ -1274,9 +1274,9 @@
      }
    },
    "node_modules/@rollup/rollup-android-arm-eabi": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.35.0.tgz",
-      "integrity": "sha512-uYQ2WfPaqz5QtVgMxfN6NpLD+no0MYHDBywl7itPYd3K5TjjSghNKmX8ic9S8NU8w81NVhJv/XojcHptRly7qQ==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.37.0.tgz",
+      "integrity": "sha512-l7StVw6WAa8l3vA1ov80jyetOAEo1FtHvZDbzXDO/02Sq/QVvqlHkYoFwDJPIMj0GKiistsBudfx5tGFnwYWDQ==",
      "cpu": [
        "arm"
      ],
@@ -1288,9 +1288,9 @@
      ]
    },
    "node_modules/@rollup/rollup-android-arm64": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.35.0.tgz",
-      "integrity": "sha512-FtKddj9XZudurLhdJnBl9fl6BwCJ3ky8riCXjEw3/UIbjmIY58ppWwPEvU3fNu+W7FUsAsB1CdH+7EQE6CXAPA==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.37.0.tgz",
+      "integrity": "sha512-6U3SlVyMxezt8Y+/iEBcbp945uZjJwjZimu76xoG7tO1av9VO691z8PkhzQ85ith2I8R2RddEPeSfcbyPfD4hA==",
      "cpu": [
        "arm64"
      ],
@@ -1302,9 +1302,9 @@
      ]
    },
    "node_modules/@rollup/rollup-darwin-arm64": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-arm64/-/rollup-darwin-arm64-4.35.0.tgz",
-      "integrity": "sha512-Uk+GjOJR6CY844/q6r5DR/6lkPFOw0hjfOIzVx22THJXMxktXG6CbejseJFznU8vHcEBLpiXKY3/6xc+cBm65Q==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-arm64/-/rollup-darwin-arm64-4.37.0.tgz",
+      "integrity": "sha512-+iTQ5YHuGmPt10NTzEyMPbayiNTcOZDWsbxZYR1ZnmLnZxG17ivrPSWFO9j6GalY0+gV3Jtwrrs12DBscxnlYA==",
      "cpu": [
        "arm64"
      ],
@@ -1316,9 +1316,9 @@
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    },
    "node_modules/@rollup/rollup-darwin-x64": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-x64/-/rollup-darwin-x64-4.35.0.tgz",
-      "integrity": "sha512-3IrHjfAS6Vkp+5bISNQnPogRAW5GAV1n+bNCrDwXmfMHbPl5EhTmWtfmwlJxFRUCBZ+tZ/OxDyU08aF6NI/N5Q==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-darwin-x64/-/rollup-darwin-x64-4.37.0.tgz",
+      "integrity": "sha512-m8W2UbxLDcmRKVjgl5J/k4B8d7qX2EcJve3Sut7YGrQoPtCIQGPH5AMzuFvYRWZi0FVS0zEY4c8uttPfX6bwYQ==",
      "cpu": [
        "x64"
      ],
@@ -1330,9 +1330,9 @@
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    },
    "node_modules/@rollup/rollup-freebsd-arm64": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-freebsd-arm64/-/rollup-freebsd-arm64-4.35.0.tgz",
-      "integrity": "sha512-sxjoD/6F9cDLSELuLNnY0fOrM9WA0KrM0vWm57XhrIMf5FGiN8D0l7fn+bpUeBSU7dCgPV2oX4zHAsAXyHFGcQ==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-freebsd-arm64/-/rollup-freebsd-arm64-4.37.0.tgz",
+      "integrity": "sha512-FOMXGmH15OmtQWEt174v9P1JqqhlgYge/bUjIbiVD1nI1NeJ30HYT9SJlZMqdo1uQFyt9cz748F1BHghWaDnVA==",
      "cpu": [
        "arm64"
      ],
@@ -1344,9 +1344,9 @@
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    },
    "node_modules/@rollup/rollup-freebsd-x64": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-freebsd-x64/-/rollup-freebsd-x64-4.35.0.tgz",
-      "integrity": "sha512-2mpHCeRuD1u/2kruUiHSsnjWtHjqVbzhBkNVQ1aVD63CcexKVcQGwJ2g5VphOd84GvxfSvnnlEyBtQCE5hxVVw==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-freebsd-x64/-/rollup-freebsd-x64-4.37.0.tgz",
+      "integrity": "sha512-SZMxNttjPKvV14Hjck5t70xS3l63sbVwl98g3FlVVx2YIDmfUIy29jQrsw06ewEYQ8lQSuY9mpAPlmgRD2iSsA==",
      "cpu": [
        "x64"
      ],
@@ -1358,9 +1358,9 @@
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    },
    "node_modules/@rollup/rollup-linux-arm-gnueabihf": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-gnueabihf/-/rollup-linux-arm-gnueabihf-4.35.0.tgz",
-      "integrity": "sha512-mrA0v3QMy6ZSvEuLs0dMxcO2LnaCONs1Z73GUDBHWbY8tFFocM6yl7YyMu7rz4zS81NDSqhrUuolyZXGi8TEqg==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-gnueabihf/-/rollup-linux-arm-gnueabihf-4.37.0.tgz",
+      "integrity": "sha512-hhAALKJPidCwZcj+g+iN+38SIOkhK2a9bqtJR+EtyxrKKSt1ynCBeqrQy31z0oWU6thRZzdx53hVgEbRkuI19w==",
      "cpu": [
        "arm"
      ],
@@ -1372,9 +1372,9 @@
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    },
    "node_modules/@rollup/rollup-linux-arm-musleabihf": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-musleabihf/-/rollup-linux-arm-musleabihf-4.35.0.tgz",
-      "integrity": "sha512-DnYhhzcvTAKNexIql8pFajr0PiDGrIsBYPRvCKlA5ixSS3uwo/CWNZxB09jhIapEIg945KOzcYEAGGSmTSpk7A==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm-musleabihf/-/rollup-linux-arm-musleabihf-4.37.0.tgz",
+      "integrity": "sha512-jUb/kmn/Gd8epbHKEqkRAxq5c2EwRt0DqhSGWjPFxLeFvldFdHQs/n8lQ9x85oAeVb6bHcS8irhTJX2FCOd8Ag==",
      "cpu": [
        "arm"
      ],
@@ -1386,9 +1386,9 @@
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    "node_modules/@rollup/rollup-linux-arm64-gnu": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-gnu/-/rollup-linux-arm64-gnu-4.35.0.tgz",
-      "integrity": "sha512-uagpnH2M2g2b5iLsCTZ35CL1FgyuzzJQ8L9VtlJ+FckBXroTwNOaD0z0/UF+k5K3aNQjbm8LIVpxykUOQt1m/A==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-gnu/-/rollup-linux-arm64-gnu-4.37.0.tgz",
+      "integrity": "sha512-oNrJxcQT9IcbcmKlkF+Yz2tmOxZgG9D9GRq+1OE6XCQwCVwxixYAa38Z8qqPzQvzt1FCfmrHX03E0pWoXm1DqA==",
      "cpu": [
        "arm64"
      ],
@@ -1400,9 +1400,9 @@
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    },
    "node_modules/@rollup/rollup-linux-arm64-musl": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-musl/-/rollup-linux-arm64-musl-4.35.0.tgz",
-      "integrity": "sha512-XQxVOCd6VJeHQA/7YcqyV0/88N6ysSVzRjJ9I9UA/xXpEsjvAgDTgH3wQYz5bmr7SPtVK2TsP2fQ2N9L4ukoUg==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-arm64-musl/-/rollup-linux-arm64-musl-4.37.0.tgz",
+      "integrity": "sha512-pfxLBMls+28Ey2enpX3JvjEjaJMBX5XlPCZNGxj4kdJyHduPBXtxYeb8alo0a7bqOoWZW2uKynhHxF/MWoHaGQ==",
      "cpu": [
        "arm64"
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@@ -1414,9 +1414,9 @@
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    },
    "node_modules/@rollup/rollup-linux-loongarch64-gnu": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-loongarch64-gnu/-/rollup-linux-loongarch64-gnu-4.35.0.tgz",
-      "integrity": "sha512-5pMT5PzfgwcXEwOaSrqVsz/LvjDZt+vQ8RT/70yhPU06PTuq8WaHhfT1LW+cdD7mW6i/J5/XIkX/1tCAkh1W6g==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-loongarch64-gnu/-/rollup-linux-loongarch64-gnu-4.37.0.tgz",
+      "integrity": "sha512-yCE0NnutTC/7IGUq/PUHmoeZbIwq3KRh02e9SfFh7Vmc1Z7atuJRYWhRME5fKgT8aS20mwi1RyChA23qSyRGpA==",
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        "loong64"
      ],
@@ -1428,9 +1428,9 @@
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    "node_modules/@rollup/rollup-linux-powerpc64le-gnu": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-powerpc64le-gnu/-/rollup-linux-powerpc64le-gnu-4.35.0.tgz",
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+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-powerpc64le-gnu/-/rollup-linux-powerpc64le-gnu-4.37.0.tgz",
+      "integrity": "sha512-NxcICptHk06E2Lh3a4Pu+2PEdZ6ahNHuK7o6Np9zcWkrBMuv21j10SQDJW3C9Yf/A/P7cutWoC/DptNLVsZ0VQ==",
      "cpu": [
        "ppc64"
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@@ -1442,9 +1442,23 @@
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    "node_modules/@rollup/rollup-linux-riscv64-gnu": {
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-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-riscv64-gnu/-/rollup-linux-riscv64-gnu-4.35.0.tgz",
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+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-riscv64-gnu/-/rollup-linux-riscv64-gnu-4.37.0.tgz",
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+      "cpu": [
+        "riscv64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "linux"
+      ]
+    },
+    "node_modules/@rollup/rollup-linux-riscv64-musl": {
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-riscv64-musl/-/rollup-linux-riscv64-musl-4.37.0.tgz",
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@@ -1456,9 +1470,9 @@
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    "node_modules/@rollup/rollup-linux-s390x-gnu": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-s390x-gnu/-/rollup-linux-s390x-gnu-4.35.0.tgz",
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+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-s390x-gnu/-/rollup-linux-s390x-gnu-4.37.0.tgz",
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@@ -1470,9 +1484,9 @@
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    "node_modules/@rollup/rollup-linux-x64-gnu": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-x64-gnu/-/rollup-linux-x64-gnu-4.35.0.tgz",
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+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-x64-gnu/-/rollup-linux-x64-gnu-4.37.0.tgz",
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@@ -1484,9 +1498,9 @@
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    "node_modules/@rollup/rollup-linux-x64-musl": {
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+      "version": "9.23.0",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.23.0.tgz",
+      "integrity": "sha512-jV7AbNoFPAY1EkFYpLq5bslU9NLNO8xnEeQXwErNibVryjk67wHVmddTBilc5srIttJDBrB0eMHKZBFbSIABCw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "@eslint-community/eslint-utils": "^4.2.0",
        "@eslint-community/regexpp": "^4.12.1",
        "@eslint/config-array": "^0.19.2",
-        "@eslint/config-helpers": "^0.1.0",
+        "@eslint/config-helpers": "^0.2.0",
        "@eslint/core": "^0.12.0",
-        "@eslint/eslintrc": "^3.3.0",
-        "@eslint/js": "9.22.0",
+        "@eslint/eslintrc": "^3.3.1",
+        "@eslint/js": "9.23.0",
        "@eslint/plugin-kit": "^0.2.7",
        "@humanfs/node": "^0.16.6",
        "@humanwhocodes/module-importer": "^1.0.1",
@@ -5222,9 +5236,9 @@
      }
    },
    "node_modules/pg": {
-      "version": "8.14.0",
-      "resolved": "https://registry.npmjs.org/pg/-/pg-8.14.0.tgz",
-      "integrity": "sha512-nXbVpyoaXVmdqlKEzToFf37qzyeeh7mbiXsnoWvstSqohj88yaa/I/Rq/HEVn2QPSZEuLIJa/jSpRDyzjEx4FQ==",
+      "version": "8.14.1",
+      "resolved": "https://registry.npmjs.org/pg/-/pg-8.14.1.tgz",
+      "integrity": "sha512-0TdbqfjwIun9Fm/r89oB7RFQ0bLgduAhiIqIXOsyKoiC/L54DbuAAzIEN/9Op0f1Po9X7iCPXGoa/Ah+2aI8Xw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -5344,13 +5358,13 @@
      }
    },
    "node_modules/playwright": {
-      "version": "1.51.0",
-      "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.51.0.tgz",
-      "integrity": "sha512-442pTfGM0xxfCYxuBa/Pu6B2OqxqqaYq39JS8QDMGThUvIOCd6s0ANDog3uwA0cHavVlnTQzGCN7Id2YekDSXA==",
+      "version": "1.51.1",
+      "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.51.1.tgz",
+      "integrity": "sha512-kkx+MB2KQRkyxjYPc3a0wLZZoDczmppyGJIvQ43l+aZihkaVvmu/21kiyaHeHjiFxjxNNFnUncKmcGIyOojsaw==",
      "dev": true,
      "license": "Apache-2.0",
      "dependencies": {
-        "playwright-core": "1.51.0"
+        "playwright-core": "1.51.1"
      },
      "bin": {
        "playwright": "cli.js"
@@ -5363,9 +5377,9 @@
      }
    },
    "node_modules/playwright-core": {
-      "version": "1.51.0",
-      "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.51.0.tgz",
-      "integrity": "sha512-x47yPE3Zwhlil7wlNU/iktF7t2r/URR3VLbH6EknJd/04Qc/PSJ0EY3CMXipmglLG+zyRxW6HNo2EGbKLHPWMg==",
+      "version": "1.51.1",
+      "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.51.1.tgz",
+      "integrity": "sha512-/crRMj8+j/Nq5s8QcvegseuyeZPxpQCZb6HNk3Sos3BlZyAknRjoyJPFWkpNn8v0+P3WiwqFF8P+zQo4eqiNuw==",
      "dev": true,
      "license": "Apache-2.0",
      "bin": {
@@ -5423,9 +5437,9 @@
      }
    },
    "node_modules/postcss/node_modules/nanoid": {
-      "version": "3.3.9",
-      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.9.tgz",
-      "integrity": "sha512-SppoicMGpZvbF1l3z4x7No3OlIjP7QJvC9XR7AhZr1kL133KHnKPztkKDc+Ir4aJ/1VhTySrtKhrsycmrMQfvg==",
+      "version": "3.3.11",
+      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz",
+      "integrity": "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==",
      "dev": true,
      "funding": [
        {
@@ -5833,9 +5847,9 @@
      }
    },
    "node_modules/rollup": {
-      "version": "4.35.0",
-      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.35.0.tgz",
-      "integrity": "sha512-kg6oI4g+vc41vePJyO6dHt/yl0Rz3Thv0kJeVQ3D1kS3E5XSuKbPc29G4IpT/Kv1KQwgHVcN+HtyS+HYLNSvQg==",
+      "version": "4.37.0",
+      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.37.0.tgz",
+      "integrity": "sha512-iAtQy/L4QFU+rTJ1YUjXqJOJzuwEghqWzCEYD2FEghT7Gsy1VdABntrO4CLopA5IkflTyqNiLNwPcOJ3S7UKLg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -5849,25 +5863,26 @@
        "npm": ">=8.0.0"
      },
      "optionalDependencies": {
-        "@rollup/rollup-android-arm-eabi": "4.35.0",
-        "@rollup/rollup-android-arm64": "4.35.0",
-        "@rollup/rollup-darwin-arm64": "4.35.0",
-        "@rollup/rollup-darwin-x64": "4.35.0",
-        "@rollup/rollup-freebsd-arm64": "4.35.0",
-        "@rollup/rollup-freebsd-x64": "4.35.0",
-        "@rollup/rollup-linux-arm-gnueabihf": "4.35.0",
-        "@rollup/rollup-linux-arm-musleabihf": "4.35.0",
-        "@rollup/rollup-linux-arm64-gnu": "4.35.0",
-        "@rollup/rollup-linux-arm64-musl": "4.35.0",
-        "@rollup/rollup-linux-loongarch64-gnu": "4.35.0",
-        "@rollup/rollup-linux-powerpc64le-gnu": "4.35.0",
-        "@rollup/rollup-linux-riscv64-gnu": "4.35.0",
-        "@rollup/rollup-linux-s390x-gnu": "4.35.0",
-        "@rollup/rollup-linux-x64-gnu": "4.35.0",
-        "@rollup/rollup-linux-x64-musl": "4.35.0",
-        "@rollup/rollup-win32-arm64-msvc": "4.35.0",
-        "@rollup/rollup-win32-ia32-msvc": "4.35.0",
-        "@rollup/rollup-win32-x64-msvc": "4.35.0",
+        "@rollup/rollup-android-arm-eabi": "4.37.0",
+        "@rollup/rollup-android-arm64": "4.37.0",
+        "@rollup/rollup-darwin-arm64": "4.37.0",
+        "@rollup/rollup-darwin-x64": "4.37.0",
+        "@rollup/rollup-freebsd-arm64": "4.37.0",
+        "@rollup/rollup-freebsd-x64": "4.37.0",
+        "@rollup/rollup-linux-arm-gnueabihf": "4.37.0",
+        "@rollup/rollup-linux-arm-musleabihf": "4.37.0",
+        "@rollup/rollup-linux-arm64-gnu": "4.37.0",
+        "@rollup/rollup-linux-arm64-musl": "4.37.0",
+        "@rollup/rollup-linux-loongarch64-gnu": "4.37.0",
+        "@rollup/rollup-linux-powerpc64le-gnu": "4.37.0",
+        "@rollup/rollup-linux-riscv64-gnu": "4.37.0",
+        "@rollup/rollup-linux-riscv64-musl": "4.37.0",
+        "@rollup/rollup-linux-s390x-gnu": "4.37.0",
+        "@rollup/rollup-linux-x64-gnu": "4.37.0",
+        "@rollup/rollup-linux-x64-musl": "4.37.0",
+        "@rollup/rollup-win32-arm64-msvc": "4.37.0",
+        "@rollup/rollup-win32-ia32-msvc": "4.37.0",
+        "@rollup/rollup-win32-x64-msvc": "4.37.0",
        "fsevents": "~2.3.2"
      }
    },
@@ -6232,10 +6247,11 @@
      }
    },
    "node_modules/supertest": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/supertest/-/supertest-7.0.0.tgz",
-      "integrity": "sha512-qlsr7fIC0lSddmA3tzojvzubYxvlGtzumcdHgPwbFWMISQwL22MhM2Y3LNt+6w9Yyx7559VW5ab70dgphm8qQA==",
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/supertest/-/supertest-7.1.0.tgz",
+      "integrity": "sha512-5QeSO8hSrKghtcWEoPiO036fxH0Ii2wVQfFZSP0oqQhmjk8bOLhDFXr4JrvaFmPuEWUoq4znY3uSi8UzLKxGqw==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "methods": "^1.1.2",
        "superagent": "^9.0.1"
@@ -6604,9 +6620,9 @@
      }
    },
    "node_modules/vite": {
-      "version": "6.2.1",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.1.tgz",
-      "integrity": "sha512-n2GnqDb6XPhlt9B8olZPrgMD/es/Nd1RdChF6CBD/fHW6pUyUTt2sQW2fPRX5GiD9XEa6+8A6A4f2vT6pSsE7Q==",
+      "version": "6.2.3",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.3.tgz",
+      "integrity": "sha512-IzwM54g4y9JA/xAeBPNaDXiBF8Jsgl3VBQ2YQ/wOY6fyW3xMdSoltIV3Bo59DErdqdE6RxUfv8W69DvUorE4Eg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -6676,9 +6692,9 @@
      }
    },
    "node_modules/vite-node": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.8.tgz",
-      "integrity": "sha512-6PhR4H9VGlcwXZ+KWCdMqbtG649xCPZqfI9j2PsK1FcXgEzro5bGHcVKFCTqPLaNKZES8Evqv4LwvZARsq5qlg==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.9.tgz",
+      "integrity": "sha512-w3Gdx7jDcuT9cNn9jExXgOyKmf5UOTb6WMHz8LGAm54eS1Elf5OuBhCxl6zJxGhEeIkgsE1WbHuoL0mj/UXqXg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -6732,19 +6748,19 @@
      }
    },
    "node_modules/vitest": {
-      "version": "3.0.8",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.8.tgz",
-      "integrity": "sha512-dfqAsNqRGUc8hB9OVR2P0w8PZPEckti2+5rdZip0WIz9WW0MnImJ8XiR61QhqLa92EQzKP2uPkzenKOAHyEIbA==",
+      "version": "3.0.9",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.9.tgz",
+      "integrity": "sha512-BbcFDqNyBlfSpATmTtXOAOj71RNKDDvjBM/uPfnxxVGrG+FSH2RQIwgeEngTaTkuU/h0ScFvf+tRcKfYXzBybQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@vitest/expect": "3.0.8",
-        "@vitest/mocker": "3.0.8",
-        "@vitest/pretty-format": "^3.0.8",
-        "@vitest/runner": "3.0.8",
-        "@vitest/snapshot": "3.0.8",
-        "@vitest/spy": "3.0.8",
-        "@vitest/utils": "3.0.8",
+        "@vitest/expect": "3.0.9",
+        "@vitest/mocker": "3.0.9",
+        "@vitest/pretty-format": "^3.0.9",
+        "@vitest/runner": "3.0.9",
+        "@vitest/snapshot": "3.0.9",
+        "@vitest/spy": "3.0.9",
+        "@vitest/utils": "3.0.9",
        "chai": "^5.2.0",
        "debug": "^4.4.0",
        "expect-type": "^1.1.0",
@@ -6756,7 +6772,7 @@
        "tinypool": "^1.0.2",
        "tinyrainbow": "^2.0.0",
        "vite": "^5.0.0 || ^6.0.0",
-        "vite-node": "3.0.8",
+        "vite-node": "3.0.9",
        "why-is-node-running": "^2.3.0"
      },
      "bin": {
@@ -6772,8 +6788,8 @@
        "@edge-runtime/vm": "*",
        "@types/debug": "^4.1.12",
        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
-        "@vitest/browser": "3.0.8",
-        "@vitest/ui": "3.0.8",
+        "@vitest/browser": "3.0.9",
+        "@vitest/ui": "3.0.9",
        "happy-dom": "*",
        "jsdom": "*"
      },
--- a/e2e/package.json
+++ b/e2e/package.json
@@ -1,6 +1,6 @@
 {
  "name": "immich-e2e",
-  "version": "1.130.0",
+  "version": "1.130.3",
  "description": "",
  "main": "index.js",
  "type": "module",
--- a/e2e/src/api/specs/library.e2e-spec.ts
+++ b/e2e/src/api/specs/library.e2e-spec.ts
@@ -454,6 +454,133 @@ describe('/libraries', () => {
      utils.removeImageFile(`${testAssetDir}/temp/folder${char}2/asset2.png`);
    });

+    it('should respect exclusion patterns when using multiple import paths', async () => {
+      // https://github.com/immich-app/immich/issues/17121
+      const library = await utils.createLibrary(admin.accessToken, {
+        ownerId: admin.userId,
+        importPaths: [`${testAssetDirInternal}/temp/exclusion/`, `${testAssetDirInternal}/temp/exclusion2/`],
+      });
+
+      const excludedFolder = `Raw`;
+
+      utils.createImageFile(`${testAssetDir}/temp/exclusion/asset1.png`);
+      utils.createImageFile(`${testAssetDir}/temp/exclusion/${excludedFolder}/asset2.png`);
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+            expect.objectContaining({ originalPath: expect.stringContaining(`${excludedFolder}/asset2.png`) }),
+          ]),
+        );
+      }
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+            expect.objectContaining({ originalPath: expect.stringContaining(`${excludedFolder}/asset2.png`) }),
+          ]),
+        );
+      }
+
+      await utils.updateLibrary(admin.accessToken, library.id, { exclusionPatterns: [`**/${excludedFolder}/**`] });
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual([
+          expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+        ]);
+      }
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual([
+          expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+        ]);
+      }
+
+      utils.removeImageFile(`${testAssetDir}/temp/exclusion/asset1.png`);
+      utils.removeImageFile(`${testAssetDir}/temp/exclusion/${excludedFolder}/asset2.png`);
+    });
+
+    const annoyingExclusionPatterns = ['@', '#', '$', '%', '^', '&', '='];
+
+    it.each(annoyingExclusionPatterns)('should support exclusion patterns with %s', async (char) => {
+      const library = await utils.createLibrary(admin.accessToken, {
+        ownerId: admin.userId,
+        importPaths: [`${testAssetDirInternal}/temp/exclusion/`],
+      });
+
+      const excludedFolder = `${char}folder`;
+
+      utils.createImageFile(`${testAssetDir}/temp/exclusion/asset1.png`);
+      utils.createImageFile(`${testAssetDir}/temp/exclusion/${excludedFolder}/asset2.png`);
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+            expect.objectContaining({ originalPath: expect.stringContaining(`${excludedFolder}/asset2.png`) }),
+          ]),
+        );
+      }
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+            expect.objectContaining({ originalPath: expect.stringContaining(`${excludedFolder}/asset2.png`) }),
+          ]),
+        );
+      }
+
+      await utils.updateLibrary(admin.accessToken, library.id, { exclusionPatterns: [`**/${excludedFolder}/**`] });
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual([
+          expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+        ]);
+      }
+
+      await utils.scan(admin.accessToken, library.id);
+
+      {
+        const { assets } = await utils.searchAssets(admin.accessToken, { libraryId: library.id });
+
+        expect(assets.items).toEqual([
+          expect.objectContaining({ originalPath: expect.stringContaining(`/asset1.png`) }),
+        ]);
+      }
+
+      utils.removeImageFile(`${testAssetDir}/temp/exclusion/asset1.png`);
+      utils.removeImageFile(`${testAssetDir}/temp/exclusion/${excludedFolder}/asset2.png`);
+    });
+
    it('should reimport a modified file', async () => {
      const library = await utils.createLibrary(admin.accessToken, {
        ownerId: admin.userId,
--- a/e2e/src/api/specs/search.e2e-spec.ts
+++ b/e2e/src/api/specs/search.e2e-spec.ts
@@ -633,7 +633,6 @@ describe('/search', () => {
        .set('Authorization', `Bearer ${admin.accessToken}`);
      expect(body).toEqual([
        'Andalusia',
-        'Berlin',
        'Glarus',
        'Greater Accra',
        'Havana',
@@ -642,6 +641,7 @@ describe('/search', () => {
        'Mississippi',
        'New York',
        'Shanghai',
+        'State of Berlin',
        'St.-Petersburg',
        'Tbilisi',
        'Tokyo',
@@ -657,7 +657,6 @@ describe('/search', () => {
        .set('Authorization', `Bearer ${admin.accessToken}`);
      expect(body).toEqual([
        'Andalusia',
-        'Berlin',
        'Glarus',
        'Greater Accra',
        'Havana',
@@ -666,6 +665,7 @@ describe('/search', () => {
        'Mississippi',
        'New York',
        'Shanghai',
+        'State of Berlin',
        'St.-Petersburg',
        'Tbilisi',
        'Tokyo',
--- a/i18n/af.json
+++ b/i18n/af.json
@@ -1,5 +1,5 @@
 {
-  "about": "Verfris",
+  "about": "Oor",
  "account": "Rekening",
  "account_settings": "Rekeninginstellings",
  "acknowledge": "Erken",
@@ -56,7 +56,7 @@
    "duplicate_detection_job_description": "Begin masjienleer op bates om soortgelyke beelde op te spoor. Maak staat op Smart Search",
    "exclusion_pattern_description": "Met uitsluitingspatrone kan jy lêers en vouers ignoreer wanneer jy jou biblioteek skandeer. Dit is nuttig as jy vouers het wat lêers bevat wat jy nie wil invoer nie, soos RAW-lêers.",
    "external_library_created_at": "Eksterne biblioteek (geskep op {date})",
-    "external_library_management": "Eksterne Biblioteek-opsies",
+    "external_library_management": "Eksterne Biblioteekbestuur",
    "face_detection": "Gesig deteksie",
    "failed_job_command": "Opdrag {command} het misluk vir werk: {job}",
    "force_delete_user_warning": "WAARSKUWING: Dit sal onmiddellik die gebruiker en alle bates verwyder. Dit kan nie ontdoen word nie en die lêers kan nie herstel word nie.",
@@ -64,7 +64,8 @@
    "image_format": "Formaat",
    "image_format_description": "WebP produseer kleiner lêers as JPEG, maar is stadiger om te enkodeer.",
    "image_prefer_embedded_preview": "Verkies ingebedde voorskou",
-    "image_prefer_wide_gamut": "Verkies wye spektrum",
+    "image_prefer_wide_gamut": "Verkies wide gamut",
+    "image_prefer_wide_gamut_setting_description": "Gebruik Display P3 vir kleinkiekies. Dit behou die lewendheid van beelde met wye kleurruimtes beter, maar beelde kan anders verskyn op ou apparate met 'n ou blaaierweergawe. sRGB-beelde gebruik steeds sRGB om kleurverskuiwings te voorkom.",
    "image_preview_description": "Mediumgrootte prent met gestroopte metadata, wat gebruik word wanneer 'n enkele bate bekyk word en vir masjienleer",
    "image_preview_quality_description": "Voorskou kwaliteit van 1-100. Hoër is beter, maar produseer groter lêers en kan app-reaksie verminder. Die stel van 'n lae waarde kan masjienleerkwaliteit beïnvloed.",
    "image_preview_title": "Voorskou Instellings",
@@ -72,7 +73,14 @@
    "image_resolution": "Resolusie",
    "image_resolution_description": "Hoër resolusies kan meer detail bewaar, maar neem langer om te enkodeer, het groter lêergroottes en kan app-reaksie verminder.",
    "image_settings": "Prent Instellings",
-    "image_settings_description": "Bestuur die kwaliteit en resolusie van gegenereerde beelde"
+    "image_settings_description": "Bestuur die kwaliteit en resolusie van gegenereerde beelde",
+    "image_thumbnail_description": "Klein kleinkiekies sonder metadata, gebruik om groepe foto's soos die tydlyn te bekyk",
+    "image_thumbnail_quality_description": "Kleinkiekiekwaliteit van 1-100. Hoër is beter, maar produseer groter lêers en kan die toepassing vertraag.",
+    "image_thumbnail_title": "Kleinkiekie-instellings",
+    "job_concurrency": "{job} gelyktydigheid",
+    "job_created": "Taak gemaak",
+    "job_not_concurrency_safe": "Hierdie taak kan nie gelyktydig uitgevoer word nie.",
+    "job_settings": "Agtergrondtaakinstellings"
  },
  "search_by_description": "Soek by beskrywing",
  "search_by_description_example": "Stapdag in Sapa"
--- a/i18n/cs.json
+++ b/i18n/cs.json
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Odstranit z alba",
  "remove_from_favorites": "Odstranit z oblíbených",
  "remove_from_shared_link": "Odstranit ze sdíleného odkazu",
+  "remove_memory": "Odstranit vzpomínku",
+  "remove_photo_from_memory": "Odstranit fotografii z této vzpomínky",
  "remove_url": "Odstranit URL",
  "remove_user": "Odebrat uživatele",
  "removed_api_key": "Odstraněn API klíč: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Vyhledávání jazyků...",
  "second": "Sekunda",
  "see_all_people": "Zobrazit všechny lidi",
+  "select": "Vybrat",
  "select_album_cover": "Vybrat obal alba",
  "select_all": "Vybrat vše",
  "select_all_duplicates": "Vybrat všechny duplicity",
@@ -1375,4 +1378,4 @@
  "yes": "Ano",
  "you_dont_have_any_shared_links": "Nemáte žádné sdílené odkazy",
  "zoom_image": "Zvětšit obrázek"
-}
+}
--- a/i18n/da.json
+++ b/i18n/da.json
@@ -41,6 +41,7 @@
    "backup_settings": "Backup-indstillinger",
    "backup_settings_description": "Administrer backupindstillinger for database",
    "check_all": "Tjek Alle",
+    "cleanup": "Ryd op",
    "cleared_jobs": "Ryddet jobs til: {job}",
    "config_set_by_file": "konfigurationen er i øjeblikket indstillet af en konfigurations fil",
    "confirm_delete_library": "Er du sikker på, at du vil slette {library} bibliotek?",
@@ -96,7 +97,7 @@
    "library_scanning_enable_description": "Aktiver periodisk biblioteksscanning",
    "library_settings": "Eksternt bibliotek",
    "library_settings_description": "Administrer eksterne biblioteksindstillinger",
-    "library_tasks_description": "Udfør biblioteksopgaver",
+    "library_tasks_description": "Scan eksterne biblioteker for nye og/eller ændrede mediefiler",
    "library_watching_enable_description": "Overvåg eksterne biblioteker for filændringer",
    "library_watching_settings": "Biblioteks overvågning (EKSPERIMENTEL)",
    "library_watching_settings_description": "Tjek automatisk for ændrede filer",
@@ -131,7 +132,7 @@
    "machine_learning_smart_search_description": "Søg semantisk efter billeder ved hjælp af CLIP-indlejringer",
    "machine_learning_smart_search_enabled": "Aktiver smart søgning",
    "machine_learning_smart_search_enabled_description": "Hvis deaktiveret, vil billeder ikke blive kodet til smart søgning.",
-    "machine_learning_url_description": "URL på maskinlæringsserveren. Hvis der er angivet mere end én URL, hver server vil blive forsøgt en ad gangen, indtil en reagerer med succes, i rækkefølge fra første til sidste.",
+    "machine_learning_url_description": "URL’en for maskinlæringsserveren. Hvis mere end én URL angives, vil hver server blive forsøgt én ad gangen, indtil en svarer succesfuldt, i rækkefølge fra første til sidste. Servere, der ikke svarer, vil midlertidigt blive ignoreret, indtil de kommer online igen.",
    "manage_concurrency": "Administrer antallet af samtidige opgaver",
    "manage_log_settings": "Administrer logindstillinger",
    "map_dark_style": "Mørk tema",
@@ -242,7 +243,7 @@
    "storage_template_hash_verification_enabled_description": "Slår hash-verifikation til, slå ikke dette fra med mindre du er sikker på dets konsekvenser",
    "storage_template_migration": "Lagringsskabelonmigration",
    "storage_template_migration_description": "Anvend den nuværende <link>{template}</link> på tidligere uploadede mediefiler",
-    "storage_template_migration_info": "Skabelonændringer vil kun gælde for nye mediefiler. For at anvende skabelonen retroaktivt på tidligere uploadede mediefiler skal du køre <link>{job}</link>.",
+    "storage_template_migration_info": "Lager-skabelonen vil konvertere alle filendelser til små bogstaver. Skabelonændringer vil kun gælde for nye mediefiler. For at anvende skabelonen retroaktivt på tidligere uploadede mediefiler skal du køre <link>{job}</link>.",
    "storage_template_migration_job": "Lager Skabelon Migreringsjob",
    "storage_template_more_details": "For flere detaljer om denne funktion, referer til <template-link>Lager Skabelonen</template-link> og dens <implications-link>implikationer</implications-link>",
    "storage_template_onboarding_description": "Når denne funktion er aktiveret, vil den automatisk organisere filer baseret på en brugerdefineret skabelon. På grund af stabilitetsproblemer er funktionen som standard slået fra. For mere information, se <link>dokumentation</link>.",
@@ -393,6 +394,7 @@
  "allow_edits": "Tillad redigeringer",
  "allow_public_user_to_download": "Tillad offentlige brugere til at hente",
  "allow_public_user_to_upload": "Tillad offentlige brugere til at uploade",
+  "alt_text_qr_code": "QR-kode billede",
  "anti_clockwise": "Mod uret",
  "api_key": "API-nøgle",
  "api_key_description": "Denne værdi vises kun én gang. Venligst kopiér den før du lukker vinduet.",
@@ -889,6 +891,7 @@
  "month": "Måned",
  "more": "Mere",
  "moved_to_trash": "Flyttet til skraldespand",
+  "mute_memories": "Dæmp minder",
  "my_albums": "Mine albummer",
  "name": "Navn",
  "name_or_nickname": "Navn eller kælenavn",
@@ -984,6 +987,7 @@
  "permanently_deleted_asset": "Permanent slettet medie",
  "permanently_deleted_assets_count": "{count, plural, one {# aktiv} other {# aktiver}} permanent slettet",
  "person": "Person",
+  "person_birthdate": "Født den {date}",
  "person_hidden": "{name}{hidden, select, true { (skjult)} other {}}",
  "photo_shared_all_users": "Det ser ud til, at du har delt dine billeder med alle brugere, eller også har du ikke nogen bruger at dele med.",
  "photos": "Billeder",
@@ -1075,6 +1079,8 @@
  "remove_from_album": "Fjern fra album",
  "remove_from_favorites": "Fjern fra favoritter",
  "remove_from_shared_link": "Fjern fra delt link",
+  "remove_memory": "Fjern minde",
+  "remove_photo_from_memory": "Fjern foto fra dette minde",
  "remove_url": "Fjern URL",
  "remove_user": "Fjern bruger",
  "removed_api_key": "Fjernede API-nøgle: {name}",
@@ -1145,6 +1151,7 @@
  "searching_locales": "Søger lokaler...",
  "second": "Sekund",
  "see_all_people": "Se alle personer",
+  "select": "Vælg",
  "select_album_cover": "Vælg albumcover",
  "select_all": "Vælg alle",
  "select_all_duplicates": "Vælg alle dubletter",
@@ -1300,6 +1307,7 @@
  "unlink_motion_video": "Fjern link til bevægelsesvideo",
  "unlink_oauth": "Frakobl OAuth",
  "unlinked_oauth_account": "Frakoblede OAuth-konto",
+  "unmute_memories": "Ophæv dæmpning af minder",
  "unnamed_album": "Unavngivet album",
  "unnamed_album_delete_confirmation": "Er du sikker på, at du vil slette dette album?",
  "unnamed_share": "Unavngivet deling",
@@ -1370,4 +1378,4 @@
  "yes": "Ja",
  "you_dont_have_any_shared_links": "Du har ikke nogen delte links",
  "zoom_image": "Zoom billede"
-}
+}
--- a/i18n/de.json
+++ b/i18n/de.json
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Aus Album entfernen",
  "remove_from_favorites": "Aus Favoriten entfernen",
  "remove_from_shared_link": "Aus geteiltem Link entfernen",
+  "remove_memory": "Erinnerung entfernen",
+  "remove_photo_from_memory": "Foto aus dieser Erinnerung entfernen",
  "remove_url": "URL entfernen",
  "remove_user": "Nutzer entfernen",
  "removed_api_key": "API-Schlüssel {name} wurde entfernt",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Suche nach Orten...",
  "second": "Sekunde",
  "see_all_people": "Alle Personen anzeigen",
+  "select": "Auswählen",
  "select_album_cover": "Album-Cover auswählen",
  "select_all": "Alles auswählen",
  "select_all_duplicates": "Alle Duplikate auswählen",
@@ -1375,4 +1378,4 @@
  "yes": "Ja",
  "you_dont_have_any_shared_links": "Du hast keine geteilten Links",
  "zoom_image": "Bild vergrößern"
-}
+}
--- a/i18n/el.json
+++ b/i18n/el.json
@@ -41,6 +41,7 @@
    "backup_settings": "Ρυθμίσεις Αντιγράφων Ασφαλείας",
    "backup_settings_description": "Διαχείρηση ρυθμίσεων των αντιγράφων ασφαλείας της βάσης δεδομένων",
    "check_all": "Έλεγχος Όλων",
+    "cleanup": "Εκκαθάριση",
    "cleared_jobs": "Εκκαθαρίστηκαν οι εργασίες για: {job}",
    "config_set_by_file": "Η παραμετροποίηση γίνεται, προς το παρόν, μέσω ενός αρχείου παραμέτρων",
    "confirm_delete_library": "Είστε βέβαιοι ότι θέλετε να διαγράψετε τη βιβλιοθήκη {library};",
@@ -393,6 +394,7 @@
  "allow_edits": "Επιτρέψτε τις τροποποιήσεις",
  "allow_public_user_to_download": "Επιτρέψτε σε δημόσιο χρήστη να κατεβάσει",
  "allow_public_user_to_upload": "Επιτρέψτε στον δημόσιο χρήστη να ανεβάσει",
+  "alt_text_qr_code": "Εικόνα κωδικού QR",
  "anti_clockwise": "Αντίθετα με τη φορά του ρολογιού",
  "api_key": "Κλειδί API",
  "api_key_description": "Αυτή η τιμή θα εμφανιστεί μόνο μία φορά. Παρακαλώ βεβαιωθείτε ότι την έχετε αντιγράψει πριν κλείσετε το παράθυρο.",
@@ -889,6 +891,7 @@
  "month": "Μήνας",
  "more": "Περισσότερα",
  "moved_to_trash": "Μετακινήθηκε στον κάδο απορριμμάτων",
+  "mute_memories": "Σίγαση Αναμνήσεων",
  "my_albums": "Τα άλμπουμ μου",
  "name": "Όνομα",
  "name_or_nickname": "Όνομα ή ψευδώνυμο",
@@ -984,6 +987,7 @@
  "permanently_deleted_asset": "Οριστικά διαγραμμένο στοιχείο",
  "permanently_deleted_assets_count": "Οριστική διαγραφή {count, plural, one {# στοιχείου} other {# στοιχείων}}",
  "person": "Άτομο",
+  "person_birthdate": "Γεννηθείς στις {date}",
  "person_hidden": "{name}{hidden, select, true { (κρυφό)} other {}}",
  "photo_shared_all_users": "Φαίνεται ότι μοιραστήκατε τις φωτογραφίες σας με όλους τους χρήστες ή δεν έχετε κανέναν χρήστη για κοινή χρήση.",
  "photos": "Φωτογραφίες",
@@ -1075,6 +1079,8 @@
  "remove_from_album": "Αφαίρεση από το άλμπουμ",
  "remove_from_favorites": "Αφαίρεση από τα αγαπημένα",
  "remove_from_shared_link": "Αφαίρεση από τον κοινόχρηστο σύνδεσμο",
+  "remove_memory": "Αφαίρεση ανάμνησης",
+  "remove_photo_from_memory": "Αφαίρεση φωτογραφίας από την ανάμνηση",
  "remove_url": "Αφαίρεση Συνδέσμου",
  "remove_user": "Αφαίρεση χρήστη",
  "removed_api_key": "Αφαιρέθηκε το API Key: {name}",
@@ -1091,6 +1097,7 @@
  "repository": "Αποθετήριο",
  "require_password": "Απαιτείται κωδικός πρόσβασης",
  "require_user_to_change_password_on_first_login": "Ο χρήστης απαιτείται να αλλάξει τον κωδικό πρόσβασής του κατά την πρώτη σύνδεση",
+  "rescan": "Εκ νέου σάρωση",
  "reset": "Επαναφορά",
  "reset_password": "Επαναφορά κωδικού πρόσβασης",
  "reset_people_visibility": "Επαναφορά προβολής ατόμων",
@@ -1144,6 +1151,7 @@
  "searching_locales": "Αναζήτηση τοποθεσιών...",
  "second": "Δευτερόλεπτο",
  "see_all_people": "Προβολή όλων των ατόμων",
+  "select": "Επιλογή",
  "select_album_cover": "Επιλέξτε εξώφυλλο άλμπουμ",
  "select_all": "Επιλογή όλων",
  "select_all_duplicates": "Επιλογή όλων των διπλότυπων",
@@ -1352,6 +1360,7 @@
  "view_all": "Προβολή Όλων",
  "view_all_users": "Προβολή όλων των χρηστών",
  "view_in_timeline": "Προβολή στο χρονοδιάγραμμα",
+  "view_link": "Προβολή σύνδεσμου",
  "view_links": "Προβολή συνδέσμων",
  "view_name": "Προβολή",
  "view_next_asset": "Προβολή επόμενου στοιχείου",
@@ -1368,4 +1377,4 @@
  "yes": "Ναι",
  "you_dont_have_any_shared_links": "Δεν έχετε κοινόχρηστους συνδέσμους",
  "zoom_image": "Ζουμ Εικόνας"
-}
+}
--- a/i18n/es.json
+++ b/i18n/es.json
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Eliminar del álbum",
  "remove_from_favorites": "Quitar de favoritos",
  "remove_from_shared_link": "Eliminar desde enlace compartido",
+  "remove_memory": "Quitar memoria",
+  "remove_photo_from_memory": "Quitar foto de esta memoria",
  "remove_url": "Eliminar URL",
  "remove_user": "Eliminar usuario",
  "removed_api_key": "Clave API eliminada: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Buscando sitios...",
  "second": "Segundo",
  "see_all_people": "Ver todas las personas",
+  "select": "Selecciona",
  "select_album_cover": "Seleccionar portada del álbum",
  "select_all": "Seleccionar todo",
  "select_all_duplicates": "Seleccionar todos los duplicados",
@@ -1375,4 +1378,4 @@
  "yes": "Sí",
  "you_dont_have_any_shared_links": "No tienes ningún enlace compartido",
  "zoom_image": "Acercar Imagen"
-}
+}
--- a/i18n/et.json
+++ b/i18n/et.json
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Eemalda albumist",
  "remove_from_favorites": "Eemalda lemmikutest",
  "remove_from_shared_link": "Eemalda jagatud lingist",
+  "remove_memory": "Eemalda mälestus",
+  "remove_photo_from_memory": "Eemalda foto sellest mälestusest",
  "remove_url": "Eemalda URL",
  "remove_user": "Eemalda kasutaja",
  "removed_api_key": "API võti eemaldatud: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Lokaatide otsimine...",
  "second": "Sekund",
  "see_all_people": "Vaata kõiki isikuid",
+  "select": "Vali",
  "select_album_cover": "Vali albumi kaanepilt",
  "select_all": "Vali kõik",
  "select_all_duplicates": "Vali kõik duplikaadid",
@@ -1375,4 +1378,4 @@
  "yes": "Jah",
  "you_dont_have_any_shared_links": "Sul pole ühtegi jagatud linki",
  "zoom_image": "Suumi pilti"
-}
+}
--- a/i18n/fr.json
+++ b/i18n/fr.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Média supprimé définitivement",
  "permanently_deleted_assets_count": "{count, plural, one {# média définitivement supprimé} other {# médias définitivement supprimés}}",
  "person": "Personne",
+  "person_birthdate": "Né(e) le {date}",
  "person_hidden": "{name}{hidden, select, true { (caché)} other {}}",
  "photo_shared_all_users": "Il semble que vous ayez partagé vos photos avec tous les utilisateurs ou que vous n'ayez aucun utilisateur avec qui les partager.",
  "photos": "Photos",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Supprimer de l'album",
  "remove_from_favorites": "Supprimer des favoris",
  "remove_from_shared_link": "Supprimer des liens partagés",
+  "remove_memory": "Supprimer le souvenir",
+  "remove_photo_from_memory": "Supprimer la photo de ce souvenir",
  "remove_url": "Supprimer l'URL",
  "remove_user": "Supprimer l'utilisateur",
  "removed_api_key": "Clé API supprimée : {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Recherche des paramètres régionaux...",
  "second": "Seconde",
  "see_all_people": "Voir toutes les personnes",
+  "select": "Sélectionner",
  "select_album_cover": "Sélectionner la couverture d'album",
  "select_all": "Tout sélectionner",
  "select_all_duplicates": "Sélectionner tous les doublons",
@@ -1374,4 +1378,4 @@
  "yes": "Oui",
  "you_dont_have_any_shared_links": "Vous n'avez aucun lien partagé",
  "zoom_image": "Zoomer"
-}
+}
--- a/i18n/he.json
+++ b/i18n/he.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "נכס נמחק לצמיתות",
  "permanently_deleted_assets_count": "{count, plural, one {נכס # נמחק} other {# נכסים נמחקו}} לצמיתות",
  "person": "אדם",
+  "person_birthdate": "נולד בתאריך {date}",
  "person_hidden": "{name}{hidden, select, true { (מוסתר)} other {}}",
  "photo_shared_all_users": "נראה שאת/ה שיתפת את התמונות שלך עם כל המשתמשים או שאין לך אף משתמש לשתף איתו.",
  "photos": "תמונות",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "הסר מאלבום",
  "remove_from_favorites": "הסר מהמועדפים",
  "remove_from_shared_link": "הסר מקישור משותף",
+  "remove_memory": "הסר זיכרון",
+  "remove_photo_from_memory": "הסר תמונה מזיכרון זה",
  "remove_url": "הסר URL",
  "remove_user": "הסר משתמש",
  "removed_api_key": "מפתח API הוסר: {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "מחפש אזורי שפה...",
  "second": "שנייה",
  "see_all_people": "ראה את כל האנשים",
+  "select": "בחר",
  "select_album_cover": "בחר עטיפת אלבום",
  "select_all": "בחר הכל",
  "select_all_duplicates": "בחר את כל הכפילויות",
@@ -1374,4 +1378,4 @@
  "yes": "כן",
  "you_dont_have_any_shared_links": "אין לך קישורים משותפים",
  "zoom_image": "זום לתמונה"
-}
+}
--- a/i18n/hi.json
+++ b/i18n/hi.json
@@ -29,11 +29,17 @@
  "added_to_favorites_count": "पसंदीदा में {count, number} जोड़ा गया",
  "admin": {
    "add_exclusion_pattern_description": "बहिष्करण पैटर्न जोड़ें. *, **, और ? का उपयोग करके ग्लोबिंग करना समर्थित है। \"Raw\" नामक किसी भी निर्देशिका की सभी फ़ाइलों को अनदेखा करने के लिए, \"**/Raw/**\" का उपयोग करें। \".tif\" से समाप्त होने वाली सभी फ़ाइलों को अनदेखा करने के लिए, \"**/*.tif\" का उपयोग करें। किसी पूर्ण पथ को अनदेखा करने के लिए, \"/path/to/ignore/**\" का उपयोग करें।",
+    "asset_offline_description": "यह बाहरी लाइब्रेरी एसेट अब डिस्क पर मौजूद नहीं है और इसे ट्रैश में डाल दिया गया है। यदि फ़ाइल को लाइब्रेरी के भीतर कहीं ले जाया गया था, तो नई संबंधित एसेट के लिए अपनी टाइमलाइन देखें। इस एसेट को वापस पाने के लिए, कृपया सुनिश्चित करें कि नीचे दिए गए फ़ाइल पथ को इम्मिच द्वारा एक्सेस किया जा सकता है और फिर लाइब्रेरी को स्कैन करें।",
    "authentication_settings": "प्रमाणीकरण सेटिंग्स",
    "authentication_settings_description": "पासवर्ड, OAuth और अन्य प्रमाणीकरण सेटिंग्स प्रबंधित करें",
    "authentication_settings_disable_all": "क्या आप वाकई सभी लॉगिन विधियों को अक्षम करना चाहते हैं? लॉगिन पूरी तरह से अक्षम कर दिया जाएगा।",
    "authentication_settings_reenable": "पुनः सक्षम करने के लिए, <link>Server Command</link> का प्रयोग करे।",
    "background_task_job": "पृष्ठभूमि कार्य",
+    "backup_database": "बैकअप डाटाबेस",
+    "backup_database_enable_description": "बैकअप डेटाबेस सक्रिय करें",
+    "backup_keep_last_amount": "पूर्व बैकअप क्षमता",
+    "backup_settings": "बैकअप सेटिंग्स",
+    "backup_settings_description": "डेटाबेस बैकअप सेटिंग्स प्रबंधन",
    "check_all": "सभी चेक करें",
    "cleared_jobs": "{job}: के लिए कार्य साफ़ कर दिए गए",
    "config_set_by_file": "Config वर्तमान में एक config फ़ाइल द्वारा सेट किया गया है",
@@ -42,6 +48,8 @@
    "confirm_email_below": "पुष्टि करने के लिए नीचे \"{email}\" टाइप करें",
    "confirm_reprocess_all_faces": "क्या आप वाकई सभी चेहरों को दोबारा संसाधित करना चाहते हैं? इससे नामित लोग भी साफ हो जायेंगे।",
    "confirm_user_password_reset": "क्या आप वाकई {user} का पासवर्ड रीसेट करना चाहते हैं?",
+    "create_job": "जॉब बनाएँ",
+    "cron_expression": "क्रॉन अभिव्यक्ति",
    "disable_login": "लॉगिन अक्षम करें",
    "duplicate_detection_job_description": "समान छवियों का पता लगाने के लिए संपत्तियों पर मशीन लर्निंग चलाएं। यह कार्यक्षमता स्मार्ट खोज पर निर्भर करती है",
    "exclusion_pattern_description": "Exclusion पैटर्न आपको अपनी लाइब्रेरी को स्कैन करते समय फ़ाइलों और फ़ोल्डरों को अनदेखा करने देता है। यह उपयोगी है यदि आपके पास ऐसे फ़ोल्डर हैं जिनमें ऐसी फ़ाइलें हैं जिन्हें आप आयात नहीं करना चाहते हैं, जैसे RAW फ़ाइलें।",
@@ -1093,6 +1101,7 @@
  "view_album": "एल्बम देखें",
  "view_all": "सभी को देखें",
  "view_all_users": "सभी उपयोगकर्ताओं को देखें",
+  "view_in_timeline": "टाइमलाइन में देखें",
  "view_links": "लिंक देखें",
  "view_next_asset": "अगली संपत्ति देखें",
  "view_previous_asset": "पिछली संपत्ति देखें",
--- a/i18n/hu.json
+++ b/i18n/hu.json
@@ -149,7 +149,7 @@
    "map_settings_description": "Térkép beállítások kezelése",
    "map_style_description": "Egy style.json térképtémára mutató URL cím",
    "memory_cleanup_job": "Memória takarítás",
-    "memory_generate_job": "Emlék létrehozása",
+    "memory_generate_job": "Emlék generálálsa",
    "metadata_extraction_job": "Metaadatok kinyerése",
    "metadata_extraction_job_description": "Metaadat információk (pl. GPS, arcok és felbontás) kinyerése minden elemből",
    "metadata_faces_import_setting": "Arc importálás engedélyezése",
@@ -243,7 +243,7 @@
    "storage_template_hash_verification_enabled_description": "Engedélyezi a hash-érték ellenőrzést - csak akkor kapcsold ki, ha tisztában vagy a következményekkel",
    "storage_template_migration": "Tárhely sablon migrálása",
    "storage_template_migration_description": "A jelenlegi <link>{template}</link> alkalmazása a már feltöltött elemekre",
-    "storage_template_migration_info": "A megváltozott sablon csak az újonnan feltöltött elemekre vonatkozik. A korábbi elemek visszamenőleges áthelyezéséhez ezt futtasd: <link>{job}</link>.",
+    "storage_template_migration_info": "A sablon az összes kiterjesztést kisbetűssé alakítja át. A megváltozott sablon csak az újonnan feltöltött elemekre vonatkozik. A korábbi elemek visszamenőleges áthelyezéséhez ezt futtasd: <link>{job}</link>.",
    "storage_template_migration_job": "Tárhely Sablon Migrációja",
    "storage_template_more_details": "További részletekért erről a funkcióról lásd a <template-link>Tárhely Sablon</template-link> és annak <implications-link>következményeit</implications-link> a dokumentációban",
    "storage_template_onboarding_description": "Ha ez a funkció engedélyezve van, akkor a fájlokat automatikusan az egyéni sablon alapján rendszerezi el. Stabilitási problémák miatt a funkció alapértelmezés szerint ki van kapcsolva. További információkért lásd a <link>dokumentációt</link>.",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Elem véglegesen törölve",
  "permanently_deleted_assets_count": "{count, plural, other {# elem}} véglegesen törölve",
  "person": "Személy",
+  "person_birthdate": "Született: {date}",
  "person_hidden": "{name}{hidden, select, true { (rejtett)} other {}}",
  "photo_shared_all_users": "Úgy tűnik, hogy már mindenkivel megosztottad a fényképeidet, vagy nincs senki, akivel meg tudnád osztani.",
  "photos": "Fényképek",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Eltávolítás az albumból",
  "remove_from_favorites": "Eltávolítás a kedvencekből",
  "remove_from_shared_link": "Eltávolítás a megosztott linkből",
+  "remove_memory": "Emlék eltávolítása",
+  "remove_photo_from_memory": "Kép eltávolítása az emlékből",
  "remove_url": "URL eltávolítása",
  "remove_user": "Felhasználó eltávolítása",
  "removed_api_key": "API Kulcs eltávolítva: {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Helyszín keresése...",
  "second": "Másodperc",
  "see_all_people": "Minden személy megtekintése",
+  "select": "Kiválsztás",
  "select_album_cover": "Albumborító kiválasztása",
  "select_all": "Összes kijelölése",
  "select_all_duplicates": "Minden duplikátum kijelölése",
@@ -1374,4 +1378,4 @@
  "yes": "Igen",
  "you_dont_have_any_shared_links": "Nincsenek megosztott linkjeid",
  "zoom_image": "Kép Nagyítása"
-}
+}
--- a/i18n/id.json
+++ b/i18n/id.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Aset dihapus secara permanen",
  "permanently_deleted_assets_count": "{count, plural, one {# aset} other {# aset}} dihapus secara permanen",
  "person": "Orang",
+  "person_birthdate": "Lahir pada {date}",
  "person_hidden": "{name}{hidden, select, true { (tersembunyi)} other {}}",
  "photo_shared_all_users": "Sepertinya Anda membagikan foto Anda dengan semua pengguna atau Anda tidak memiliki pengguna siapa pun untuk dibagikan.",
  "photos": "Foto",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Hapus dari album",
  "remove_from_favorites": "Hapus dari favorit",
  "remove_from_shared_link": "Hapus dari tautan terbagi",
+  "remove_memory": "Hapus kenangan",
+  "remove_photo_from_memory": "Hapus foto dari kenangan ini",
  "remove_url": "Hapus URL",
  "remove_user": "Keluarkan pengguna",
  "removed_api_key": "Kunci API Dihapus: {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Mencari lokal...",
  "second": "Detik",
  "see_all_people": "Lihat semua orang",
+  "select": "Pilih",
  "select_album_cover": "Pilih kover album",
  "select_all": "Pilih semua",
  "select_all_duplicates": "Pilih semua duplikat",
@@ -1374,4 +1378,4 @@
  "yes": "Ya",
  "you_dont_have_any_shared_links": "Anda tidak memiliki tautan terbagi",
  "zoom_image": "Perbesar Gambar"
-}
+}
--- a/i18n/it.json
+++ b/i18n/it.json
@@ -886,7 +886,7 @@
  "merged_people_count": "{count, plural, one {Unita # persona} other {Unite # persone}}",
  "minimize": "Minimizza",
  "minute": "Minuto",
-  "missing": "Mancante",
+  "missing": "Mancanti",
  "model": "Modello",
  "month": "Mese",
  "more": "Di più",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Asset eliminato definitivamente",
  "permanently_deleted_assets_count": "Cancellati {count, plural, one {# asset} other {# assets}} definitivamente",
  "person": "Persona",
+  "person_birthdate": "Nato il {date}",
  "person_hidden": "{name}{hidden, select, true { (nascosto)} other {}}",
  "photo_shared_all_users": "Sembra che tu abbia condiviso le foto con tutti gli utenti, oppure che non ci siano utenti con i quali condividerle.",
  "photos": "Foto",
@@ -997,7 +998,7 @@
  "place": "Posizione",
  "places": "Luoghi",
  "places_count": "{count, plural, one {{count, number} Luogo} other {{count, number} Places}}",
-  "play": "Avvia",
+  "play": "Riproduci",
  "play_memories": "Avvia ricordi",
  "play_motion_photo": "Avvia Foto in movimento",
  "play_or_pause_video": "Avvia o metti in pausa il video",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Rimuovere dall'album",
  "remove_from_favorites": "Rimuovi dai preferiti",
  "remove_from_shared_link": "Rimuovi dal link condiviso",
+  "remove_memory": "Rimuovi ricordo",
+  "remove_photo_from_memory": "Rimuovi foto da questo ricordo",
  "remove_url": "Rimuovi URL",
  "remove_user": "Rimuovi utente",
  "removed_api_key": "Rimossa chiave API: {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Cerca localizzazioni...",
  "second": "Secondo",
  "see_all_people": "Vedi tutte le persone",
+  "select": "Seleziona",
  "select_album_cover": "Seleziona copertina album",
  "select_all": "Seleziona tutto",
  "select_all_duplicates": "Seleziona tutti i duplicati",
@@ -1238,7 +1242,7 @@
  "stack_selected_photos": "Impila foto selezionate",
  "stacked_assets_count": "{count, plural, one {Raggruppato # asset} other {Raggruppati # asset}}",
  "stacktrace": "Traccia dell'errore",
-  "start": "Inizio",
+  "start": "Avvia",
  "start_date": "Data di inizio",
  "state": "Provincia",
  "status": "Stato",
@@ -1374,4 +1378,4 @@
  "yes": "Si",
  "you_dont_have_any_shared_links": "Non è presente alcun link condiviso",
  "zoom_image": "Ingrandisci immagine"
-}
+}
--- a/i18n/lv.json
+++ b/i18n/lv.json
@@ -13,7 +13,7 @@
  "add_a_location": "Pievienot atrašanās vietu",
  "add_a_name": "Pievienot vārdu",
  "add_a_title": "Pievienot virsrakstu",
-  "add_exclusion_pattern": "Pievienot izņēmuma šablonu",
+  "add_exclusion_pattern": "Pievienot izslēgšanas šablonu",
  "add_import_path": "Pievienot importa ceļu",
  "add_location": "Pievienot lokāciju",
  "add_more_users": "Pievienot vēl lietotājus",
@@ -30,10 +30,11 @@
  "admin": {
    "add_exclusion_pattern_description": "Pievienojiet izlaišanas shēmas. Aizstājējzīmju izmantoša *, **, un ? tiek atbalstīta. Lai ignorētu visus failus jebkurā direktorijā ar nosaukumu “RAW”, izmantojiet “**/RAW/**”. Lai ignorētu visus failus, kas beidzas ar “. tif”, izmantojiet “**/*. tif”. Lai ignorētu absolūto ceļu, izmantojiet “/path/to/ignore/**”.",
    "authentication_settings": "Autentifikācijas iestatījumi",
-    "authentication_settings_description": "Pārvaldīt paroles, OAuth un citus autentifikācijas iestatījumus",
+    "authentication_settings_description": "Paroļu, OAuth un citu autentifikācijas iestatījumu pārvaldība",
    "authentication_settings_disable_all": "Vai tiešām vēlaties atspējot visas pieteikšanās metodes? Pieteikšanās tiks pilnībā atspējota.",
    "authentication_settings_reenable": "Lai atkārtoti iespējotu, izmantojiet <link>Servera Komandu</link>.",
    "background_task_job": "Fona Uzdevumi",
+    "backup_settings_description": "Datubāzes dublēšanas iestatījumu pārvaldība",
    "check_all": "Pārbaudīt Visu",
    "cleared_jobs": "Notīrīti uzdevumi priekš: {job}",
    "config_set_by_file": "Konfigurāciju pašlaik iestata konfigurācijas fails",
@@ -61,14 +62,14 @@
    "image_thumbnail_title": "Sīktēlu iestatījumi",
    "job_created": "Uzdevums izveidots",
    "job_settings": "Uzdevumu iestatījumi",
-    "job_settings_description": "Pārvaldīt uzdevumu izpildes vienlaicīgumu",
+    "job_settings_description": "Uzdevumu izpildes vienlaicīguma pārvaldība",
    "job_status": "Uzdevumu statuss",
    "library_deleted": "Bibliotēka dzēsta",
    "library_scanning": "",
    "library_scanning_description": "",
    "library_scanning_enable_description": "",
    "library_settings": "",
-    "library_settings_description": "",
+    "library_settings_description": "Ārējo bibliotēku iestatījumu pārvaldība",
    "library_tasks_description": "",
    "library_watching_enable_description": "",
    "library_watching_settings": "",
@@ -95,28 +96,33 @@
    "machine_learning_min_recognized_faces": "",
    "machine_learning_min_recognized_faces_description": "",
    "machine_learning_settings": "Mašīnmācīšanās iestatījumi",
-    "machine_learning_settings_description": "",
+    "machine_learning_settings_description": "Mašīnmācīšanās funkciju un iestatījumu pārvaldība",
    "machine_learning_smart_search": "Viedā meklēšana",
    "machine_learning_smart_search_description": "",
    "machine_learning_smart_search_enabled_description": "",
    "machine_learning_url_description": "Mašīnmācīšanās servera URL",
-    "manage_log_settings": "",
+    "manage_concurrency": "Vienlaicīgas darbības pārvaldība",
+    "manage_log_settings": "Žurnāla iestatījumu pārvaldība",
    "map_dark_style": "",
    "map_enable_description": "",
    "map_gps_settings": "Kartes un GPS iestatījumi",
-    "map_gps_settings_description": "Pārvaldīt karšu un GPS (apgrieztās ģeokodēšanas) iestatījumus",
+    "map_gps_settings_description": "Karšu un GPS (apgrieztās ģeokodēšanas) iestatījumu pārvaldība",
    "map_light_style": "",
+    "map_manage_reverse_geocoding_settings": "<link>Reversās ģeokodēšanas</link> iestatījumu pārvaldība",
    "map_reverse_geocoding": "",
    "map_reverse_geocoding_enable_description": "",
    "map_reverse_geocoding_settings": "",
    "map_settings": "Karte",
-    "map_settings_description": "",
+    "map_settings_description": "Kartes iestatījumu pārvaldība",
    "map_style_description": "",
    "metadata_extraction_job": "Metadatu iegūšana",
    "metadata_extraction_job_description": "",
    "metadata_settings": "Metadatu iestatījumi",
+    "metadata_settings_description": "Metadatu iestatījumu pārvaldība",
    "migration_job": "Migrācija",
    "migration_job_description": "",
+    "no_paths_added": "Nav pievienots neviens ceļš",
+    "no_pattern_added": "Nav pievienots neviens izslēgšanas šablons",
    "note_cannot_be_changed_later": "PIEZĪME: Vēlāk to vairs nevar mainīt!",
    "notification_email_from_address": "No adreses",
    "notification_email_from_address_description": "Sūtītāja e-pasta adrese, piemēram: “Immich foto serveris <noreply@example.com>”",
@@ -133,7 +139,7 @@
    "notification_email_username_description": "",
    "notification_enable_email_notifications": "",
    "notification_settings": "Paziņojumu iestatījumi",
-    "notification_settings_description": "",
+    "notification_settings_description": "Paziņojumu iestatījumu, tostarp e-pasta, pārvaldība",
    "oauth_auto_launch": "",
    "oauth_auto_launch_description": "",
    "oauth_auto_register": "",
@@ -150,17 +156,17 @@
    "oauth_profile_signing_algorithm_description": "Lietotāja profila parakstīšanai izmantotais algoritms.",
    "oauth_scope": "",
    "oauth_settings": "OAuth",
-    "oauth_settings_description": "",
+    "oauth_settings_description": "OAuth pieteikšanās iestatījumu pārvaldība",
    "oauth_signing_algorithm": "Parakstīšanas algoritms",
    "oauth_storage_label_claim": "",
    "oauth_storage_label_claim_description": "",
    "oauth_storage_quota_claim": "",
    "oauth_storage_quota_claim_description": "",
-    "oauth_storage_quota_default": "",
+    "oauth_storage_quota_default": "Noklusējuma krātuves kvota (GiB)",
    "oauth_storage_quota_default_description": "",
    "password_enable_description": "Pieteikšanās ar e-pasta adresi un paroli",
    "password_settings": "Pieteikšanās ar paroli",
-    "password_settings_description": "Pārvaldīt pieteikšanās ar paroli iestatījumus",
+    "password_settings_description": "Pieteikšanās ar paroli iestatījumu pārvaldība",
    "person_cleanup_job": "Personu tīrīšana",
    "quota_size_gib": "Kvotas izmērs (GiB)",
    "registration": "Administratora reģistrācija",
@@ -171,23 +177,27 @@
    "server_external_domain_settings": "",
    "server_external_domain_settings_description": "",
    "server_settings": "Servera iestatījumi",
-    "server_settings_description": "Pārvaldīt servera iestatījumus",
+    "server_settings_description": "Servera iestatījumu pārvaldība",
    "server_welcome_message": "",
    "server_welcome_message_description": "",
    "sidecar_job_description": "",
    "slideshow_duration_description": "",
    "smart_search_job_description": "",
+    "storage_template_date_time_sample": "Laika paraugs {date}",
    "storage_template_enable_description": "",
    "storage_template_hash_verification_enabled": "",
    "storage_template_hash_verification_enabled_description": "",
-    "storage_template_migration_job": "",
-    "storage_template_settings": "",
+    "storage_template_migration": "Krātuves veidņu migrācija",
+    "storage_template_migration_job": "Krātuves veidņu migrācijas uzdevums",
+    "storage_template_settings": "Krātuves veidne",
    "storage_template_settings_description": "",
    "system_settings": "Sistēmas iestatījumi",
+    "template_email_settings_description": "Pielāgotu e-pasta paziņojumu veidņu pārvaldība",
+    "template_settings_description": "Pielāgotu paziņojumu veidņu pārvaldība",
    "theme_custom_css_settings": "Pielāgots CSS",
    "theme_custom_css_settings_description": "",
    "theme_settings": "",
-    "theme_settings_description": "",
+    "theme_settings_description": "Immich tīmekļa saskarnes pielāgojumu pārvaldība",
    "thumbnail_generation_job_description": "",
    "transcoding_acceleration_api": "",
    "transcoding_acceleration_api_description": "",
@@ -246,14 +256,14 @@
    "trash_number_of_days": "Dienu skaits",
    "trash_number_of_days_description": "",
    "trash_settings": "",
-    "trash_settings_description": "",
+    "trash_settings_description": "Atkritnes iestatījumu pārvaldība",
    "user_delete_delay_settings": "",
    "user_delete_delay_settings_description": "",
    "user_management": "Lietotāju pārvaldība",
    "user_password_has_been_reset": "Lietotāja parole ir atiestatīta:",
    "user_restore_description": "<b>{user}</b> konts tiks atjaunots.",
    "user_settings": "",
-    "user_settings_description": "",
+    "user_settings_description": "Lietotāju iestatījumu pārvaldība",
    "version_check_enabled_description": "Ieslēgt versijas pārbaudi",
    "version_check_implications": "Versiju pārbaudes funkcija ir atkarīga no periodiskas saziņas ar github.com",
    "version_check_settings": "Versijas pārbaude",
@@ -398,6 +408,7 @@
  "done": "Gatavs",
  "download": "Lejupielādēt",
  "download_settings": "Lejupielāde",
+  "download_settings_description": "Ar failu lejupielādi saistīto iestatījumu pārvaldība",
  "downloading": "",
  "duplicates": "Dublikāti",
  "duration": "",
@@ -490,6 +501,7 @@
  "favorite_or_unfavorite_photo": "",
  "favorites": "Izlase",
  "feature_photo_updated": "",
+  "features_setting_description": "Lietotnes funkciju pārvaldība",
  "file_name": "",
  "file_name_or_extension": "",
  "filename": "",
@@ -559,13 +571,13 @@
  "loop_videos": "",
  "loop_videos_description": "Iespējot, lai automātiski videoklips tiktu cikliski palaists detaļu skatītājā.",
  "make": "Firma",
-  "manage_shared_links": "Pārvaldīt Kopīgotās saites",
-  "manage_sharing_with_partners": "",
-  "manage_the_app_settings": "",
-  "manage_your_account": "",
-  "manage_your_api_keys": "",
-  "manage_your_devices": "",
-  "manage_your_oauth_connection": "",
+  "manage_shared_links": "Kopīgoto saišu pārvaldība",
+  "manage_sharing_with_partners": "Koplietošanas ar partneriem pārvaldība",
+  "manage_the_app_settings": "Lietotnes iestatījumu pārvaldība",
+  "manage_your_account": "Sava konta pārvaldība",
+  "manage_your_api_keys": "API atslēgu pārvaldība",
+  "manage_your_devices": "Pieslēgto ierīču pārvaldība",
+  "manage_your_oauth_connection": "OAuth savienojumu pārvaldība",
  "map": "Karte",
  "map_marker_for_images": "Kartes marķieris attēliem, kas uzņemti {city}, {country}",
  "map_marker_with_image": "Kartes marķieris ar attēlu",
@@ -619,7 +631,7 @@
  "notes": "Piezīmes",
  "notification_toggle_setting_description": "Ieslēgt e-pasta paziņojumus",
  "notifications": "Paziņojumi",
-  "notifications_setting_description": "",
+  "notifications_setting_description": "Paziņojumu pārvaldība",
  "oauth": "OAuth",
  "official_immich_resources": "Oficiālie Immich resursi",
  "offline": "Bezsaistē",
@@ -689,6 +701,7 @@
  "purchase_server_description_1": "Visam serverim",
  "purchase_server_description_2": "Atbalstītāja statuss",
  "purchase_server_title": "Serveris",
+  "purchase_settings_server_activated": "Servera produkta atslēgu pārvalda administrators",
  "reaction_options": "",
  "read_changelog": "Lasīt izmaiņu sarakstu",
  "recent": "",
@@ -820,7 +833,7 @@
  "status": "Statuss",
  "stop_motion_photo": "",
  "stop_photo_sharing": "Beigt kopīgot jūsu fotogrāfijas?",
-  "storage": "Uzglabāšanas vieta",
+  "storage": "Vieta krātuvē",
  "storage_label": "",
  "storage_usage": "{used} no {available} izmantoti",
  "submit": "Iesniegt",
@@ -870,6 +883,7 @@
  "usage": "Lietojums",
  "user": "Lietotājs",
  "user_id": "Lietotāja ID",
+  "user_purchase_settings_description": "Pirkuma pārvaldība",
  "user_usage_detail": "Informācija par lietotāju lietojumu",
  "username": "Lietotājvārds",
  "users": "Lietotāji",
--- a/i18n/nb_NO.json
+++ b/i18n/nb_NO.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Filen har blitt permanent slettet",
  "permanently_deleted_assets_count": "Permanent slett {count, plural, one {# asset} other {# assets}}",
  "person": "Person",
+  "person_birthdate": "Født den {date}",
  "person_hidden": "{name}{hidden, select, true { (skjult)} other {}}",
  "photo_shared_all_users": "Det ser ut som om du deler bildene med alle brukere eller det er ingen brukere å dele med.",
  "photos": "Bilder",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Fjern fra album",
  "remove_from_favorites": "Fjern fra favoritter",
  "remove_from_shared_link": "Fjern fra delt lenke",
+  "remove_memory": "Slett minne",
+  "remove_photo_from_memory": "Slett bilde fra dette minne",
  "remove_url": "Fjern URL",
  "remove_user": "Fjern bruker",
  "removed_api_key": "Fjernet API-nøkkel: {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Søker lokaler...",
  "second": "Sekund",
  "see_all_people": "Vis alle mennesker",
+  "select": "Velg",
  "select_album_cover": "Velg albumomslag",
  "select_all": "Velg alle",
  "select_all_duplicates": "Velg alle duplikater",
@@ -1374,4 +1378,4 @@
  "yes": "Ja",
  "you_dont_have_any_shared_links": "Du har ingen delte lenker",
  "zoom_image": "Zoom Bilde"
-}
+}
--- a/i18n/nl.json
+++ b/i18n/nl.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Asset permanent verwijderd",
  "permanently_deleted_assets_count": "{count, plural, one {# asset} other {# assets}} permanent verwijderd",
  "person": "Persoon",
+  "person_birthdate": "Geboren op {date}",
  "person_hidden": "{name}{hidden, select, true { (verborgen)} other {}}",
  "photo_shared_all_users": "Het lijkt erop dat je foto's met alle gebruikers zijn gedeeld, of dat je geen gebruikers hebt om mee te delen.",
  "photos": "Foto's",
@@ -1078,14 +1079,16 @@
  "remove_from_album": "Verwijder uit album",
  "remove_from_favorites": "Verwijderen uit favorieten",
  "remove_from_shared_link": "Verwijderen uit gedeelde link",
+  "remove_memory": "Herinnering verwijderen",
+  "remove_photo_from_memory": "Foto uit deze herinnering verwijderen",
  "remove_url": "Verwijder URL",
  "remove_user": "Gebruiker verwijderen",
  "removed_api_key": "API sleutel verwijderd: {name}",
  "removed_from_archive": "Verwijderd uit archief",
  "removed_from_favorites": "Verwijderd uit favorieten",
  "removed_from_favorites_count": "{count, plural, other {# verwijderd}} uit favorieten",
-  "removed_memory": "Geheugen verwijderd",
-  "removed_photo_from_memory": "Foto verwijderd uit geheugen",
+  "removed_memory": "Herinnering verwijderd",
+  "removed_photo_from_memory": "Foto verwijderd uit herinnering",
  "removed_tagged_assets": "Tag verwijderd van {count, plural, one {# asset} other {# assets}}",
  "rename": "Hernoemen",
  "repair": "Repareren",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Zoeken naar landinstellingen...",
  "second": "Seconde",
  "see_all_people": "Bekijk alle mensen",
+  "select": "Selecteer",
  "select_album_cover": "Selecteer album cover",
  "select_all": "Alles selecteren",
  "select_all_duplicates": "Selecteer alle duplicaten",
@@ -1374,4 +1378,4 @@
  "yes": "Ja",
  "you_dont_have_any_shared_links": "Je hebt geen gedeelde links",
  "zoom_image": "Inzoomen"
-}
+}
--- a/i18n/pl.json
+++ b/i18n/pl.json
@@ -243,7 +243,7 @@
    "storage_template_hash_verification_enabled_description": "Włącza weryfikację sumy kontrolnej. Nie wyłączaj tej opcji, jeśli nie jesteś pewien konsekwencji",
    "storage_template_migration": "Migracja szablonu magazynu",
    "storage_template_migration_description": "Zastosuj aktualny szablon <link>{template}</link> do wcześniej przesłanych zasobów",
-    "storage_template_migration_info": "Zmiany w szablonie zostaną zastosowane tylko do nowych zasobów. Aby wstecznie zastosować szablon do wcześniej przesłanych zasobów, uruchom zadanie <link>{job}</link>.",
+    "storage_template_migration_info": "Szablon Magazynu przekonwertuje wszystkie rozszerzenia na pisane małą literą. Zmiany w szablonie zostaną zastosowane tylko do nowych zasobów. Aby wstecznie zastosować szablon do wcześniej przesłanych zasobów, uruchom zadanie <link>{job}</link>.",
    "storage_template_migration_job": "Zadanie migracji szablonu przechowywania",
    "storage_template_more_details": "Aby uzyskać więcej szczegółów na temat tej funkcji, odwiedź <template-link>Szablon Przechowywania</template-link> oraz jego <implications-link>implikacje</implications-link>",
    "storage_template_onboarding_description": "Po włączeniu tej funkcji pliki będą organizowane automatycznie na podstawie szablonu zdefiniowanego przez użytkownika. Obecnie domyślnie wyłączona przez problemy ze stabilnością. Więcej informacji znajdziesz w <link>dokumentacji</link>.",
@@ -829,7 +829,7 @@
  "language": "Język",
  "language_setting_description": "Wybierz swój preferowany język",
  "last_seen": "Ostatnio widziane",
-  "latest_version": "Ostatnia Wersja",
+  "latest_version": "Najnowsza Wersja",
  "latitude": "Szerokość geograficzna",
  "leave": "Opuść",
  "lens_model": "Model obiektywu",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Pomyślnie trwale usunięto zasób",
  "permanently_deleted_assets_count": "Trwale usunięto {count, plural, one {# zasób} other {# zasobów}}",
  "person": "Osoba",
+  "person_birthdate": "Urodzony {date}",
  "person_hidden": "{name}{hidden, select, true { (ukryty)} other {}}",
  "photo_shared_all_users": "Wygląda na to, że udostępniłeś swoje zdjęcia wszystkim użytkownikom lub nie masz żadnego użytkownika, z którym można by było je udostępnić.",
  "photos": "Zdjęcia",
@@ -1148,6 +1149,7 @@
  "searching_locales": "Wyszukaj region...",
  "second": "Sekunda",
  "see_all_people": "Zobacz wszystkie osoby",
+  "select": "Wybierz",
  "select_album_cover": "Wybierz okładkę albumu",
  "select_all": "Zaznacz wszystko",
  "select_all_duplicates": "Wybierz wszystkie duplikaty",
@@ -1318,13 +1320,13 @@
  "updated_password": "Pomyślnie zaktualizowano hasło",
  "upload": "Prześlij",
  "upload_concurrency": "Współbieżność wysyłania",
-  "upload_errors": "Przesyłanie zakończone z {count, plural, one {# błąd} other {# błędy}}. Odśwież stronę, aby zobaczyć nowe przesłane zasoby.",
+  "upload_errors": "Przesyłanie zakończone z {count, plural, one {# błąd} other {# błędy}}. Odśwież stronę, aby zobaczyć nowo przesłane zasoby.",
  "upload_progress": "Pozostałe {remaining, number} - Przetworzone {processed, number}/{total, number}",
  "upload_skipped_duplicates": "Pominięte {count, plural, one {# zduplikowany zasób} other {# zduplikowane zasoby}}",
  "upload_status_duplicates": "Duplikaty",
  "upload_status_errors": "Błędy",
  "upload_status_uploaded": "Przesłano",
-  "upload_success": "Przesyłanie powiodło się, odśwież stronę, aby zobaczyć nowe przesłane zasoby.",
+  "upload_success": "Przesyłanie powiodło się, odśwież stronę, aby zobaczyć nowo przesłane zasoby.",
  "url": "URL",
  "usage": "Użycie",
  "use_custom_date_range": "Zamiast tego użyj niestandardowego zakresu dat",
@@ -1374,4 +1376,4 @@
  "yes": "Tak",
  "you_dont_have_any_shared_links": "Nie masz żadnych udostępnionych linków",
  "zoom_image": "Powiększ obraz"
-}
+}
--- a/i18n/pt.json
+++ b/i18n/pt.json
@@ -302,7 +302,7 @@
    "transcoding_max_b_frames": "Máximo de quadros B",
    "transcoding_max_b_frames_description": "Valores mais altos melhoram a eficiência da compressão, mas tornam a codificação mais lenta. Pode não ser compatível com aceleração de hardware em dispositivos mais antigos. 0 desativa os quadros B, enquanto -1 define esse valor automaticamente.",
    "transcoding_max_bitrate": "Taxa de bits máxima",
-    "transcoding_max_bitrate_description": "Definir uma taxa de bits máxima pode tornar os tamanhos dos ficheiros mais previsíveis com um custo menor de qualidade. Em 720p, os valores típicos são 2.600k para VP9 ou HEVC, ou 4.500k para H.264. Desativado se definido como 0.",
+    "transcoding_max_bitrate_description": "Definir uma taxa de bits máxima pode tornar os tamanhos dos ficheiros mais previsíveis com um custo menor de qualidade. Em 720p, os valores típicos são 2600 kbit/s para VP9 ou HEVC, ou 4500 kbit/s para H.264. Desativado se definido como 0.",
    "transcoding_max_keyframe_interval": "Intervalo máximo de quadro-chave",
    "transcoding_max_keyframe_interval_description": "Define a distância máxima do quadro entre os quadros-chave. Valores mais baixos pioram a eficiência da compressão, mas melhoram os tempos de procura e podem melhorar a qualidade em cenas com movimento rápido. 0 define esse valor automaticamente.",
    "transcoding_optimal_description": "Vídeos com resolução superior à desejada ou num formato não aceite",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Ficheiro eliminado permanentemente",
  "permanently_deleted_assets_count": "{count, plural, one {# Ficheiro eliminado} other {# Ficheiros eliminados}} permanentemente",
  "person": "Pessoa",
+  "person_birthdate": "Nasceu a {date}",
  "person_hidden": "{name}{hidden, select, true { (oculto)} other {}}",
  "photo_shared_all_users": "Parece que partilhou as suas fotos com todos os utilizadores ou não tem nenhum utilizador para partilhar.",
  "photos": "Fotos",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Remover do álbum",
  "remove_from_favorites": "Remover dos favoritos",
  "remove_from_shared_link": "Remover do link partilhado",
+  "remove_memory": "Remover memória",
+  "remove_photo_from_memory": "Remover foto desta memória",
  "remove_url": "Remover URL",
  "remove_user": "Remover utilizador",
  "removed_api_key": "Foi removida a Chave de API: {name}",
@@ -1094,7 +1097,7 @@
  "repository": "Repositório",
  "require_password": "Proteger com palavra-passe",
  "require_user_to_change_password_on_first_login": "Obrigar utilizador a alterar a palavra-passe após o primeiro início de sessão",
-  "rescan": "Reescanear",
+  "rescan": "Reanalisar",
  "reset": "Redefinir",
  "reset_password": "Redefinir palavra-passe",
  "reset_people_visibility": "Redefinir pessoas ocultas",
@@ -1148,6 +1151,7 @@
  "searching_locales": "A pesquisar Lugares....",
  "second": "Segundo",
  "see_all_people": "Ver todas as pessoas",
+  "select": "Selecionar",
  "select_album_cover": "Escolher capa do álbum",
  "select_all": "Selecionar todos",
  "select_all_duplicates": "Selecionar todos os itens duplicados",
--- a/i18n/pt_BR.json
+++ b/i18n/pt_BR.json
@@ -252,7 +252,7 @@
    "storage_template_settings_description": "Gerencie a estrutura de pasta e o nome do arquivo carregado",
    "storage_template_user_label": "<code>{label}</code> é o Rótulo de Armazenamento do usuário",
    "system_settings": "Configurações do Sistema",
-    "tag_cleanup_job": "Limpeza de tags",
+    "tag_cleanup_job": "Limpeza de marcadores",
    "template_email_available_tags": "Você pode usar as seguintes variáveis no modelo: {tags}",
    "template_email_if_empty": "Se o modelo estiver em branco, o modelo de e-mail padrão será usado.",
    "template_email_invite_album": "Modelo do e-mail de convite para álbum",
@@ -302,7 +302,7 @@
    "transcoding_max_b_frames": "Máximo de quadros B",
    "transcoding_max_b_frames_description": "Valores mais altos melhoram a eficiência da compactação, mas retardam a codificação. Pode não ser compatível com aceleração de hardware em dispositivos mais antigos. 0 desativa os quadros B, enquanto -1 define esse valor automaticamente.",
    "transcoding_max_bitrate": "Taxa de bits máxima",
-    "transcoding_max_bitrate_description": "Definir uma taxa de bits máxima pode tornar os tamanhos dos arquivos mais previsíveis com um custo menor de qualidade. Em 720p, os valores típicos são 2.600k para VP9 ou HEVC, ou 4.500k para H.264. Desativado se definido como 0.",
+    "transcoding_max_bitrate_description": "Definir uma taxa de bits máxima pode tornar os tamanhos dos arquivos mais previsíveis com um custo menor de qualidade. Em 720p, os valores típicos são 2.600 kbit/s para VP9 ou HEVC, ou 4.500 kbit/s para H.264. Desativado se definido como 0.",
    "transcoding_max_keyframe_interval": "Intervalo máximo de quadro-chave",
    "transcoding_max_keyframe_interval_description": "Define a distância máxima do quadro entre os quadros-chave. Valores mais baixos pioram a eficiência da compressão, mas melhoram os tempos de busca e podem melhorar a qualidade em cenas com movimento rápido. 0 define esse valor automaticamente.",
    "transcoding_optimal_description": "Vídeos com resolução superior à desejada ou em formato não aceito",
@@ -513,8 +513,8 @@
  "create_new_person": "Criar nova pessoa",
  "create_new_person_hint": "Atribuir arquivos selecionados a uma nova pessoa",
  "create_new_user": "Criar novo usuário",
-  "create_tag": "Criar tag",
-  "create_tag_description": "Crie uma nova tag. Para tags compostas, digite o caminho completo da tag, inclusive as barras.",
+  "create_tag": "Criar marcador",
+  "create_tag_description": "Cria um novo marcador. Para marcadores multi nível, digite o caminho completo do marcador, inclusive as barras.",
  "create_user": "Criar usuário",
  "created": "Criado",
  "current_device": "Dispositivo atual",
@@ -544,8 +544,8 @@
  "delete_link": "Excluir link",
  "delete_others": "Excluir restante",
  "delete_shared_link": "Excluir link de compartilhamento",
-  "delete_tag": "Remover tag",
-  "delete_tag_confirmation_prompt": "Tem certeza que deseja excluir a tag {tagName} ?",
+  "delete_tag": "Remover marcador",
+  "delete_tag_confirmation_prompt": "Tem certeza que deseja excluir o marcador {tagName} ?",
  "delete_user": "Excluir usuário",
  "deleted_shared_link": "Link de compartilhamento excluído",
  "deletes_missing_assets": "Excluir arquivos não encontrados",
@@ -590,7 +590,7 @@
  "edit_location": "Editar Localização",
  "edit_name": "Editar nome",
  "edit_people": "Editar pessoas",
-  "edit_tag": "Editar tag",
+  "edit_tag": "Editar marcador",
  "edit_title": "Editar Título",
  "edit_user": "Editar usuário",
  "edited": "Editado",
@@ -778,7 +778,7 @@
  "group_owner": "Agrupar por dono",
  "group_places_by": "Agrupar lugares por...",
  "group_year": "Agrupar por ano",
-  "has_quota": "Há cota",
+  "has_quota": "Cota",
  "hi_user": "Olá {name} ({email})",
  "hide_all_people": "Esconder todas as pessoas",
  "hide_gallery": "Ocultar galeria",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Arquivo deletado permanentemente",
  "permanently_deleted_assets_count": "{count, plural, one {# arquivo permanentemente excluído} other {# arquivos permanentemente excluídos}}",
  "person": "Pessoa",
+  "person_birthdate": "Nasceu em {date}",
  "person_hidden": "{name}{hidden, select, true { (oculto)} other {}}",
  "photo_shared_all_users": "Parece que você compartilhou suas fotos com todos os usuários ou não tem nenhum usuário com quem compartilhar.",
  "photos": "Fotos",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Remover do álbum",
  "remove_from_favorites": "Remover dos favoritos",
  "remove_from_shared_link": "Remover do link compartilhado",
+  "remove_memory": "Remover memória",
+  "remove_photo_from_memory": "Remover foto desta memória",
  "remove_url": "Remover URL",
  "remove_user": "Remover usuário",
  "removed_api_key": "Removido a Chave de API: {name}",
@@ -1086,7 +1089,7 @@
  "removed_from_favorites_count": "{count, plural, one {# Removido} other {# Removidos}} dos favoritos",
  "removed_memory": "Memória removida",
  "removed_photo_from_memory": "Foto removida da memória",
-  "removed_tagged_assets": "Tag removida de {count, plural, one {# arquivo} other {# arquivos}}",
+  "removed_tagged_assets": "Marcador removido de {count, plural, one {# arquivo} other {# arquivos}}",
  "rename": "Renomear",
  "repair": "Reparar",
  "repair_no_results_message": "Arquivos perdidos ou não rastreados aparecem aqui",
@@ -1117,7 +1120,7 @@
  "saved_settings": "Configurações salvas",
  "say_something": "Diga algo",
  "scan_all_libraries": "Escanear Todas Bibliotecas",
-  "scan_library": "Analisar",
+  "scan_library": "Escanear",
  "scan_settings": "Opções de escanear",
  "scanning_for_album": "Escaneando por álbum...",
  "search": "Pesquisar",
@@ -1141,13 +1144,14 @@
  "search_rating": "Pesquisar por classificação...",
  "search_settings": "Configurações de pesquisa",
  "search_state": "Pesquisar estado...",
-  "search_tags": "Procurar tags...",
+  "search_tags": "Procurar marcadores...",
  "search_timezone": "Pesquisar fuso horário...",
  "search_type": "Pesquisar tipo",
  "search_your_photos": "Pesquisar fotos",
  "searching_locales": "Pesquisar Lugares....",
  "second": "Segundo",
  "see_all_people": "Ver todas as pessoas",
+  "select": "Selecionar",
  "select_album_cover": "Escolher capa do álbum",
  "select_all": "Selecionar todos",
  "select_all_duplicates": "Selecionar todas as duplicatas",
@@ -1220,7 +1224,7 @@
  "size": "Tamanho",
  "skip_to_content": "Pular para o conteúdo",
  "skip_to_folders": "Ir para pastas",
-  "skip_to_tags": "Ir para as tags",
+  "skip_to_tags": "Ir para os marcadores",
  "slideshow": "Apresentação",
  "slideshow_settings": "Opções de apresentação",
  "sort_albums_by": "Ordenar álbuns por...",
@@ -1257,15 +1261,15 @@
  "support_third_party_description": "Sua instalação do Immich é fornecida por terceiros. É possível que problemas sejam causados por eles, por isso, se tiver problemas, procure primeiro ajuda com eles utilizando os links abaixo.",
  "swap_merge_direction": "Alternar direção da mesclagem",
  "sync": "Sincronizar",
-  "tag": "Tag",
-  "tag_assets": "Marcar com tag",
-  "tag_created": "Tag foi criada: {tag}",
-  "tag_feature_description": "Visualizar fotos e videos agrupados pelo tópico da tag",
-  "tag_not_found_question": "Não consegue encontrar a tag? <link>Crie uma tag nova aqui.</link>",
+  "tag": "Marcador",
+  "tag_assets": "Marcar arquivos",
+  "tag_created": "Marcador criado: {tag}",
+  "tag_feature_description": "Visualizar fotos e videos agrupados pelo tópico do marcador",
+  "tag_not_found_question": "Não consegue encontrar o marcador? <link>Crie uma novo aqui.</link>",
  "tag_people": "Marcar pessoas",
-  "tag_updated": "Tag foi atualizada: {tag}",
-  "tagged_assets": "{count, plural, one {# arquivo marcado} other {# arquivos marcados}} com a tag",
-  "tags": "Tags",
+  "tag_updated": "Marcador foi atualizado: {tag}",
+  "tagged_assets": "{count, plural, one {# arquivo marcado} other {# arquivos marcados}}",
+  "tags": "Marcadores",
  "template": "Modelo",
  "theme": "Tema",
  "theme_selection": "Selecionar tema",
--- a/i18n/ru.json
+++ b/i18n/ru.json
@@ -1079,14 +1079,16 @@
  "remove_from_album": "Удалить из альбома",
  "remove_from_favorites": "Удалить из избранного",
  "remove_from_shared_link": "Удалить из публичной ссылки",
+  "remove_memory": "Удалить воспоминание",
+  "remove_photo_from_memory": "Удалить фото из воспоминания",
  "remove_url": "Удалить URL",
  "remove_user": "Удалить пользователя",
  "removed_api_key": "Удален ключ API: {name}",
  "removed_from_archive": "Удален из архива",
  "removed_from_favorites": "Удалено из избранного",
  "removed_from_favorites_count": "{count, plural, other {Удалено #}} из избранного",
-  "removed_memory": "Удалить воспоминание",
-  "removed_photo_from_memory": "Удалить фото из воспоминания",
+  "removed_memory": "Воспоминание удалено",
+  "removed_photo_from_memory": "Фото удалено из воспоминания",
  "removed_tagged_assets": "Тег для {count, plural, one {# объекта} other {# объектов}} удален",
  "rename": "Переименовать",
  "repair": "Ремонт",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Идет поиск переводов...",
  "second": "Секунда",
  "see_all_people": "Посмотреть всех людей",
+  "select": "Выбрать",
  "select_album_cover": "Выбрать обложку альбома",
  "select_all": "Выбрать все",
  "select_all_duplicates": "Выбрать все дубликаты",
@@ -1375,4 +1378,4 @@
  "yes": "Да",
  "you_dont_have_any_shared_links": "У вас нет публичных ссылок",
  "zoom_image": "Приблизить"
-}
+}
--- a/i18n/sk.json
+++ b/i18n/sk.json
@@ -243,7 +243,7 @@
    "storage_template_hash_verification_enabled_description": "Povolí overenie hash, nezakazujte to, pokiaľ si nie ste istí dôsledkami",
    "storage_template_migration": "Migrácia šablóny úložiska",
    "storage_template_migration_description": "Použite aktuálnu <link>{template}</link> na predtým nahrané médiá",
-    "storage_template_migration_info": "Zmeny šablón sa budú vzťahovať iba na nové diela. Ak chcete šablónu spätne použiť na predtým nahrané médiá, spustite <link>{job}</link>.",
+    "storage_template_migration_info": "Šablóna úložiska skonvertuje všetky prípony na malé písmená. Zmeny šablón sa budú vzťahovať iba na nové diela. Ak chcete šablónu spätne použiť na predtým nahrané médiá, spustite <link>{job}</link>.",
    "storage_template_migration_job": "Úloha migrácie šablóny úložiska",
    "storage_template_more_details": "Ďalšie podrobnosti o tejto funkcii nájdete v <template-link>Šablóna úložiska</template-link> a jej <implications-link>dôsledky</implications-link>",
    "storage_template_onboarding_description": "Keď je táto funkcia povolená, automaticky usporiada súbory na základe šablóny definovanej používateľom. Kvôli problémom so stabilitou bola funkcia predvolene vypnutá. Viac informácií nájdete v <link>dokumentácii</link>.",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Navždy odstránená položka",
  "permanently_deleted_assets_count": "Navždy {count, plural, one {odstránená # položka} other {odstránené # položky}}",
  "person": "Osoba",
+  "person_birthdate": "Narodený dňa {date}",
  "person_hidden": "{name}{hidden, select, true { (skryté)} other {}}",
  "photo_shared_all_users": "Vyzerá, že zdieľate svoje fotky so všetkými používateľmi alebo nemáte žiadnych používateľov.",
  "photos": "Fotografie",
@@ -1148,6 +1149,7 @@
  "searching_locales": "Hľadám lokality...",
  "second": "Sekundy",
  "see_all_people": "Pozrieť všetky osoby",
+  "select": "Vybrať",
  "select_album_cover": "Vyberte obal albumu",
  "select_all": "Vybrať všetko",
  "select_all_duplicates": "Vybrať všetky duplikáty",
@@ -1374,4 +1376,4 @@
  "yes": "Áno",
  "you_dont_have_any_shared_links": "Nemáte žiadne zdielané linky",
  "zoom_image": "Priblížiť obrázok"
-}
+}
--- a/i18n/sl.json
+++ b/i18n/sl.json
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Odstrani iz albuma",
  "remove_from_favorites": "Odstrani iz priljubljenih",
  "remove_from_shared_link": "Odstrani iz skupne povezave",
+  "remove_memory": "Odstrani spomin",
+  "remove_photo_from_memory": "Odstrani fotografijo iz tega spomina",
  "remove_url": "Odstrani URL",
  "remove_user": "Odstrani uporabnika",
  "removed_api_key": "Odstranjen ključ API-ja: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Iskanje krajev...",
  "second": "Sekunda",
  "see_all_people": "Oglejte si vse ljudi",
+  "select": "Izberi",
  "select_album_cover": "Izberi naslovnico albuma",
  "select_all": "Izberi vse",
  "select_all_duplicates": "Izberi vse dvojnike",
@@ -1375,4 +1378,4 @@
  "yes": "Da",
  "you_dont_have_any_shared_links": "Nimate nobenih skupnih povezav",
  "zoom_image": "Povečava slike"
-}
+}
--- a/i18n/sr_Cyrl.json
+++ b/i18n/sr_Cyrl.json
@@ -302,7 +302,7 @@
    "transcoding_max_b_frames": "Максимални Б-кадри",
    "transcoding_max_b_frames_description": "Више вредности побољшавају ефикасност компресије, али успоравају кодирање. Можда није компатибилно са хардверским убрзањем на старијим уређајима. 0 oneмогућава Б-кадре, док -1 аутоматски поставља ову вредност.",
    "transcoding_max_bitrate": "Максимални битрате",
-    "transcoding_max_bitrate_description": "Подешавање максималног битрате-а може учинити величине датотека предвидљивијим уз мању цену квалитета. При 720п, типичне вредности су 2600к за ВП9 или ХЕВЦ, или 4500к за Х.264. oneмогућено ако је постављено на 0.",
+    "transcoding_max_bitrate_description": "Подешавање максималног битрате-а може учинити величине датотека предвидљивијим уз мању цену квалитета. При 720п, типичне вредности су 2600kbit/s за ВП9 или ХЕВЦ, или 4500kbit/s за Х.264. oneмогућено ако је постављено на 0.",
    "transcoding_max_keyframe_interval": "Максимални интервал keyframe-a",
    "transcoding_max_keyframe_interval_description": "Поставља максималну удаљеност кадрова између кључних кадрова. Ниже вредности погоршавају ефикасност компресије, али побољшавају време тражења и могу побољшати квалитет сцена са брзим кретањем. 0 аутоматски поставља ову вредност.",
    "transcoding_optimal_description": "Видео снимци већи од циљне резолуције или нису у прихваћеном формату",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Трајно избрисана датотека",
  "permanently_deleted_assets_count": "Трајно избрисано {count, plural, one {# датотека} other {# датотеке}}",
  "person": "Особа",
+  "person_birthdate": "Рођен(a) {date}",
  "person_hidden": "{name}{hidden, select, true { (скривено)} other {}}",
  "photo_shared_all_users": "Изгледа да сте поделили своје фотографије са свим корисницима или да немате ниједног корисника са којим бисте делили.",
  "photos": "Слике",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Обриши из албума",
  "remove_from_favorites": "Уклони из фаворита",
  "remove_from_shared_link": "Уклоните са дељене везе",
+  "remove_memory": "Уклоните меморију",
+  "remove_photo_from_memory": "Уклоните фотографију из ове меморије",
  "remove_url": "Уклони URL",
  "remove_user": "Уклони корисника",
  "removed_api_key": "Уклоњен АПИ кључ (key): {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Претраживање превода...",
  "second": "Секунда",
  "see_all_people": "Види све особе",
+  "select": "Изаберите",
  "select_album_cover": "Изаберите омот албума",
  "select_all": "Изабери све",
  "select_all_duplicates": "Изаберите све дупликате",
--- a/i18n/sr_Latn.json
+++ b/i18n/sr_Latn.json
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "Trajno izbrisana datoteka",
  "permanently_deleted_assets_count": "Trajno izbrisano {count, plural, one {# datoteka} other {# datoteke}}",
  "person": "Osoba",
+  "person_birthdate": "Rođen(a) {date}",
  "person_hidden": "{name}{hidden, select, true { (skriveno)} other {}}",
  "photo_shared_all_users": "Izgleda da ste podelili svoje fotografije sa svim korisnicima ili da nemate nijednog korisnika sa kojim biste delili.",
  "photos": "Slike",
@@ -1078,6 +1079,8 @@
  "remove_from_album": "Obriši iz albuma",
  "remove_from_favorites": "Ukloni iz favorita",
  "remove_from_shared_link": "Uklonite sa deljene veze",
+  "remove_memory": "Uklonite memoriju",
+  "remove_photo_from_memory": "Uklonite fotografiju iz ove memorije",
  "remove_url": "Ukloni URL",
  "remove_user": "Ukloni korisnika",
  "removed_api_key": "Uklonjen API ključ (key): {name}",
@@ -1148,6 +1151,7 @@
  "searching_locales": "Pretraživanje prevoda...",
  "second": "Sekunda",
  "see_all_people": "Vidi sve osobe",
+  "select": "Izaberite",
  "select_album_cover": "Izaberite omot albuma",
  "select_all": "Izaberi sve",
  "select_all_duplicates": "Izaberite sve duplikate",
@@ -1374,4 +1378,4 @@
  "yes": "Da",
  "you_dont_have_any_shared_links": "Nemate nijedno deljenje veze",
  "zoom_image": "Zumiraj sliku"
-}
+}
--- a/i18n/sv.json
+++ b/i18n/sv.json
@@ -28,7 +28,7 @@
  "added_to_favorites": "Tillagd till favoriter",
  "added_to_favorites_count": "{count, number} tillagda till favoriter",
  "admin": {
-    "add_exclusion_pattern_description": "Lägg till exkluderande mönster. Matchning med jokertecken *, ** samt ? är supporterat. För att ignorera alla filer i samtliga mappar som heter \"Raw\", använd \"**/Raw/**\". För att ignorera alla filer som slutar med \".tif\", använd \"**/*.tif\". För att ignorera en absolut sökväg, använd \"/sökväg/att/ignorera/**\".",
+    "add_exclusion_pattern_description": "Lägg till exkluderande mönster. Matchning med jokertecken *, ** samt ? stödjs. För att ignorera alla filer i samtliga mappar som heter \"Raw\", använd \"**/Raw/**\". För att ignorera alla filer som slutar med \".tif\", använd \"**/*.tif\". För att ignorera en absolut sökväg, använd \"/sökväg/att/ignorera/**\".",
    "asset_offline_description": "Denna externa bibliotekstillgång finns inte längre på disken och har flyttats till papperskorgen. Om filen flyttades inom biblioteket, kontrollera din tidslinje för den nya motsvarande tillgången. För att återställa denna tillgång, se till att filsökvägen nedan kan nås av Immich och skanna biblioteket.",
    "authentication_settings": "Autentiseringsinställningar",
    "authentication_settings_description": "Hantera lösenord, OAuth, och andra autentiseringsinställningar",
@@ -36,7 +36,7 @@
    "authentication_settings_reenable": "För att återaktivera, använd <link>Server Command</link>.",
    "background_task_job": "Bakgrundsaktiviteter",
    "backup_database": "Databassäkerhetskopia",
-    "backup_database_enable_description": "Slå på säkerhetskopia",
+    "backup_database_enable_description": "Aktivera säkerhetskopiering av databas",
    "backup_keep_last_amount": "Antal säkerhetskopior att behålla",
    "backup_settings": "Säkerhetskopieringsinställningar",
    "backup_settings_description": "Hantera inställningar för säkerhetskopiering av databas",
@@ -48,19 +48,19 @@
    "confirm_delete_library_assets": "Är du säker på att du vill radera detta album? {count, plural, one {# objekt} other {Samtliga # objekt}} kommer att tas bort från Immich och åtgärden kan inte ångras. Filerna kommer att behållas på hårddisken.",
    "confirm_email_below": "För att bekräfta, skriv ”{email}” nedan",
    "confirm_reprocess_all_faces": "Är du säker på att du vill återprocessa alla ansikten? Detta kommer också rensa namngivna personer.",
-    "confirm_user_password_reset": "Är du säker på att du vill återställa {user}’s lösenord?",
+    "confirm_user_password_reset": "Är du säker på att du vill återställa lösenordet för {user}?",
    "create_job": "Skapa jobb",
    "cron_expression": "Cron uttryck",
-    "cron_expression_description": "Sätt skanningsintervall genom att använda cron format. För mer information se <link>Crontab Guru</link>",
-    "cron_expression_presets": "Cron uttryck förinställningar",
+    "cron_expression_description": "Sätt skanningsintervall genom att använda cron-format. För mer information se <link>Crontab Guru</link>",
+    "cron_expression_presets": "Cron-uttryck förinställningar",
    "disable_login": "Inaktivera inloggning",
    "duplicate_detection_job_description": "Kör maskininlärning på objekt för att upptäcka liknande bilder. Bygger på Smart Search",
    "exclusion_pattern_description": "Exkluderingsmönster tillåter dig att ignorera filer och mappar när skanning görs av ditt album. Detta är användbart om du har mappar som innehåller filer som du inte vill importera, t.ex. RAW-filer.",
-    "external_library_created_at": "Externt bibliotek (skapat den {date})",
+    "external_library_created_at": "Externt bibliotek (skapat {date})",
    "external_library_management": "Hantera externa bibliotek",
    "face_detection": "Ansiktsdetektering",
-    "face_detection_description": "Identifiera ansikten i foton med hjälp av maskininlärning. För videor används endast miniatyrbilden. \"Alla\" gör om sökningen för alla objekt. \"Saknade\" letar i de objekt som ännu inte sökts igenom. Alla ansikten som identifierats läggs sedan i jobbkön för ansiktsigenkänning där de mappas till nya eller befintliga personer.",
-    "facial_recognition_job_description": "Gruppera upptäckta ansikten till personer. Det här steget körs efter att ansiktsdetektering är klar. \"Alla\" (åter-) grupperar alla ansikten. \"Saknade\" köer ansikten som inte har en person tilldelad.",
+    "face_detection_description": "Identifiera ansikten i foton med hjälp av maskininlärning. För videor används endast miniatyrbilden. \"Ladda om\" gör om sökningen för alla objekt. \"Återställ\" rensar all gällande ansikts-data. \"Saknade\" letar i de objekt som ännu inte sökts igenom. Alla identifierade ansikten läggs sedan i jobbkön för ansiktsigenkänning där de mappas till nya eller befintliga personer.",
+    "facial_recognition_job_description": "Gruppera upptäckta ansikten till personer. Det här steget körs efter att ansiktsdetektering är klar. \"Återställ\" (åter-)grupperar alla ansikten. \"Saknade\" köar ansikten som inte har en person tilldelad.",
    "failed_job_command": "Kommando {command} misslyckades för jobb: {job}",
    "force_delete_user_warning": "VARNING: Detta tar omedelbart bort användaren och alla mediafiler. Detta kan inte ångras och filerna kan inte återställas.",
    "forcing_refresh_library_files": "Tvingar uppdatering av alla biblioteksfiler",
@@ -69,25 +69,25 @@
    "image_prefer_embedded_preview": "Föredra inbäddad förhandsgranskning",
    "image_prefer_embedded_preview_setting_description": "Använd inbäddade förhandsvisningar i RAW-foton som indata till bildbehandling när det är tillgängligt. Detta kan ge mer exakta färger för vissa bilder, men kvaliteten på förhandsgranskningen är kameraberoende och bilden kan ha fler komprimeringsartefakter.",
    "image_prefer_wide_gamut": "Föredrar brett spektrum",
-    "image_prefer_wide_gamut_setting_description": "Använd Display P3 för miniatyrer. Detta bevarar livfullheten bättre hos bilder med bred färgrymd, men bilder kan se annorlunda ut på gamla enheter med en gammal webbläsarversion. Med sRGB-bilder behålls i sitt format sRGB för att undvika färgskiftningar.",
+    "image_prefer_wide_gamut_setting_description": "Använd Display P3 för miniatyrer. Detta bevarar livfullheten bättre hos bilder med bred färgrymd, men bilder kan se annorlunda ut på gamla enheter med en gammal webbläsarversion. sRGB-bilder behålls som sRGB för att undvika färgskiftningar.",
    "image_preview_description": "Mellanstor bild med avskalad metadata, används vid visning av en enskild tillgång och för maskininlärning",
-    "image_preview_quality_description": "Förhandsgranska kvalitet från 1-100. Högre är bättre, men ger större filer och kan minska appens känslighet. Att ställa in ett lågt värde kan påverka kvaliteten på maskininlärning.",
+    "image_preview_quality_description": "Förhandsgranskningskvalitet från 1-100. Högre är bättre, men ger större filer och kan göra appen mindre följsam. Att ställa in ett lågt värde kan påverka kvaliteten på maskininlärning.",
    "image_preview_title": "Förhandsvisningsinställningar",
    "image_quality": "Kvalitet",
    "image_resolution": "Upplösning",
-    "image_resolution_description": "Högre upplösningar kan bevara fler detaljer men tar längre tid att koda, har större filstorlekar och kan minska appens känslighet.",
+    "image_resolution_description": "Högre upplösningar kan bevara fler detaljer men tar längre tid att koda, har större filstorlekar och kan minska appens följsamhet.",
    "image_settings": "Bildinställningar",
    "image_settings_description": "Hantera kvalitet och upplösning på genererade bilder",
    "image_thumbnail_description": "Liten miniatyrbild med avskalad metadata, används när du tittar på grupper av foton som huvudtidslinjen",
-    "image_thumbnail_quality_description": "Miniatyrkvalitet från 1-100. Högre är bättre, men ger större filer och kan minska appens känslighet.",
+    "image_thumbnail_quality_description": "Miniatyrkvalitet från 1-100. Högre är bättre, men ger större filer och kan minska appens följsamhet.",
    "image_thumbnail_title": "Miniatyrbildsinställningar",
-    "job_concurrency": "{job} Samtidighet",
+    "job_concurrency": "{job} samtidighet",
    "job_created": "Jobb skapat",
    "job_not_concurrency_safe": "Det här jobbet är inte samtidighetssäkert.",
    "job_settings": "Jobbinställningar",
    "job_settings_description": "Hantera samtidiga jobb",
    "job_status": "Jobbstatus",
-    "jobs_delayed": "{jobCount, plural, other {# försenad}}",
+    "jobs_delayed": "{jobCount, plural, one{# försenad} other {# försenade}}",
    "jobs_failed": "{jobCount, plural, other {# misslyckades}}",
    "library_created": "Skapat bibliotek: {library}",
    "library_deleted": "Biblioteket har tagits bort",
@@ -98,16 +98,16 @@
    "library_settings": "Externa bibliotek",
    "library_settings_description": "Hantera inställningar för externa bibliotek",
    "library_tasks_description": "Sök igenom externa bibliotek efter nya och/eller ändrade objekt",
-    "library_watching_enable_description": "Titta på externa bibliotek för filändringar",
-    "library_watching_settings": "Titta på bibliotek (EXPERIMENTELLT)",
-    "library_watching_settings_description": "Titta automatiskt efter ändrade filer",
+    "library_watching_enable_description": "Bevaka externa bibliotek för filändringar",
+    "library_watching_settings": "Bevaka bibliotek (EXPERIMENTELLT)",
+    "library_watching_settings_description": "Bevaka automatiskt filförändringar",
    "logging_enable_description": "Aktivera loggning",
-    "logging_level_description": "När aktiverad, vilken loggnivå som ska användas.",
+    "logging_level_description": "Vilken loggnivå som ska användas vid aktivering.",
    "logging_settings": "Loggning",
-    "machine_learning_clip_model": "CLIP modell",
-    "machine_learning_clip_model_description": "Namnet på en CLIP-modell listad <link> här </link>. Observera att du måste köra ett \"Smart Search\" jobb för alla bilder när du ändrar en modell.",
+    "machine_learning_clip_model": "CLIP-modell",
+    "machine_learning_clip_model_description": "Namnet på en CLIP-modell listad <link> här </link>. Observera att du måste köra ett \"Smart Sökning\" jobb för alla bilder när du ändrar modell.",
    "machine_learning_duplicate_detection": "Dubblettdetektering",
-    "machine_learning_duplicate_detection_enabled": "Aktivera dubblett detektion",
+    "machine_learning_duplicate_detection_enabled": "Aktivera dubblettdetektion",
    "machine_learning_duplicate_detection_enabled_description": "Om den inaktiveras kommer exakt identiska tillgångar fortfarande att dedupliceras.",
    "machine_learning_duplicate_detection_setting_description": "Använd CLIP-inbäddningar för att hitta troliga dubbletter",
    "machine_learning_enabled": "Aktivera maskininlärning",
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Ta bort från album",
  "remove_from_favorites": "Ta bort från favoriter",
  "remove_from_shared_link": "Ta bort från delad länk",
+  "remove_memory": "Ta bort minne",
+  "remove_photo_from_memory": "Ta bort fotot från detta minnet",
  "remove_url": "Ta bort URL",
  "remove_user": "Ta bort användare",
  "removed_api_key": "Tog bort API nyckel: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Söker efter språk...",
  "second": "Sekund",
  "see_all_people": "Se alla personer",
+  "select": "Välj",
  "select_album_cover": "Välj albumomslag",
  "select_all": "Välj alla",
  "select_all_duplicates": "Välj alla dubletter",
@@ -1294,7 +1297,7 @@
  "trashed_items_will_be_permanently_deleted_after": "Objekt i papperskorgen raderas permanent efter {days, plural, one {# dag} other {# dagar}}.",
  "type": "Typ",
  "unarchive": "Ångra arkivering",
-  "unarchived_count": "{count, plural, other {Unarchived #}}",
+  "unarchived_count": "{count, plural, one {# borttagen från arkiv} other {# borttagna från arkiv}}",
  "unfavorite": "Avfavorisera",
  "unhide_person": "Visa person",
  "unknown": "Okänd",
@@ -1375,4 +1378,4 @@
  "yes": "Ja",
  "you_dont_have_any_shared_links": "Du har inga delade länkar",
  "zoom_image": "Zooma bild"
-}
+}
--- a/i18n/te.json
+++ b/i18n/te.json
@@ -29,11 +29,17 @@
  "added_to_favorites_count": "ఇష్టమైన వాటికి {count, number} జోడించబడింది",
  "admin": {
    "add_exclusion_pattern_description": "మినహాయింపు నమూనాలను జోడించండి. *, ** మరియు ?ని ఉపయోగించి గ్లోబింగ్‌కు మద్దతు ఉంది. \"Raw\" అనే పేరు గల ఏదైనా డైరెక్టరీలోని అన్ని ఫైల్‌లను విస్మరించడానికి, \"**/Raw/**\"ని ఉపయోగించండి. \".tif\"తో ముగిసే అన్ని ఫైల్‌లను విస్మరించడానికి, \"**/*.tif\"ని ఉపయోగించండి. సంపూర్ణ మార్గాన్ని విస్మరించడానికి, \"/path/to/ignore/**\"ని ఉపయోగించండి.",
+    "asset_offline_description": "ఈ బాహ్య లైబ్రరీ ఫైల్ ఇకపై డిస్క్‌లో కనుగొనబడలేదు మరియు ట్రాష్‌కు తరలించబడింది. ఫైల్ లైబ్రరీలోకి తరలించబడితే, కొత్త సంబంధిత ఫైల్ కోసం మీ టైమ్‌లైన్‌ను తనిఖీ చేయండి. ఈ ఫైల్ని పునరుద్ధరించడానికి, దయచేసి దిగువన ఉన్న ఫైల్ పాత్‌ను Immich యాక్సెస్ చేయగలదని నిర్ధారించుకోండి మరియు లైబ్రరీని స్కాన్ చేయండి.",
    "authentication_settings": "ప్రమాణీకరణ సెట్టింగ్‌లు",
    "authentication_settings_description": "పాస్‌వర్డ్, OAuth మరియు ఇతర ప్రమాణీకరణ సెట్టింగ్‌లను నిర్వహించండి",
    "authentication_settings_disable_all": "మీరు ఖచ్చితంగా అన్ని లాగిన్ పద్ధతులను నిలిపివేయాలనుకుంటున్నారా? లాగిన్ పూర్తిగా నిలిపివేయబడుతుంది.",
    "authentication_settings_reenable": "మళ్లీ ప్రారంబించటానికి, <link>Server Command</link>ని ఉపయోగించండి.",
    "background_task_job": "నేపథ్య పనులు",
+    "backup_database": "బ్యాకప్ డేటాబేస్",
+    "backup_database_enable_description": "డేటాబేస్ బ్యాకప్‌లను ప్రారంభించండి",
+    "backup_keep_last_amount": "ఉంచుకోవాల్సిన మునుపటి బ్యాకప్‌ల మొత్తం",
+    "backup_settings": "బ్యాకప్ సెట్టింగ్‌లు",
+    "backup_settings_description": "డేటాబేస్ బ్యాకప్ సెట్టింగ్‌లను నిర్వహించండి",
    "check_all": "అన్నీ తనిఖీ చేయండి",
    "cleared_jobs": "దీని కోసం ఉద్యోగాలు క్లియర్ చేయబడ్డాయి: {job}",
    "config_set_by_file": "కాన్ఫిగరేషన్ ప్రస్తుతం కాన్ఫిగరేషన్ ఫైల్ ద్వారా సెట్ చేయబడింది",
@@ -42,6 +48,10 @@
    "confirm_email_below": "నిర్ధారించడానికి, క్రింద \"{email}\" టైప్ చేయండి",
    "confirm_reprocess_all_faces": "మీరు ఖచ్చితంగా అన్ని ముఖాలను రీప్రాసెస్ చేయాలనుకుంటున్నారా? ఇది పేరున్న వ్యక్తులను కూడా క్లియర్ చేస్తుంది.",
    "confirm_user_password_reset": "మీరు ఖచ్చితంగా {user} పాస్‌వర్డ్‌ని రీసెట్ చేయాలనుకుంటున్నారా?",
+    "create_job": "పనిని సృష్టించండి",
+    "cron_expression": "క్రాన్ వ్యక్తీకరణ",
+    "cron_expression_description": "క్రాన్ ఫార్మాట్ ఉపయోగించి స్కానింగ్ విరామాన్ని సెట్ చేయండి. మరిన్ని వివరాల కోసం దయచేసి ఉదా. <link>క్రోంటాబ్ గురు</link> చూడండి",
+    "cron_expression_presets": "ముందేచేసిన క్రాన్ వ్యక్తీకరణలు",
    "disable_login": "లాగిన్‌ను నిలిపివేయండి",
    "duplicate_detection_job_description": "సారూప్య చిత్రాలను గుర్తించడానికి ఆస్తులపై యంత్ర అభ్యాసాన్ని అమలు చేయండి. స్మార్ట్ శోధనపై ఆధారపడుతుంది",
    "exclusion_pattern_description": "మినహాయింపు నమూనాలు మీ లైబ్రరీని స్కాన్ చేస్తున్నప్పుడు ఫైల్‌లు మరియు ఫోల్డర్‌లను విస్మరించడానికి మిమ్మల్ని అనుమతిస్తాయి. మీరు దిగుమతి చేయకూడదనుకునే RAW ఫైల్‌లు వంటి ఫోల్డర్‌లను కలిగి ఉన్నట్లయితే ఇది ఉపయోగకరంగా ఉంటుంది.",
@@ -53,11 +63,14 @@
    "failed_job_command": "ఉద్యోగం కోసం కమాండ్ {command} విఫలమైంది: {job}",
    "force_delete_user_warning": "హెచ్చరిక: ఇది వినియోగదారుని మరియు అన్ని ఆస్తులను వెంటనే తీసివేస్తుంది. ఇది రద్దు చేయబడదు మరియు ఫైల్‌లను తిరిగి పొందడం సాధ్యం కాదు.",
    "forcing_refresh_library_files": "అన్ని లైబ్రరీ ఫైల్‌లను రిఫ్రెష్ చేయమని బలవంతం చేస్తోంది",
+    "image_format": "ఫార్మాట్",
    "image_format_description": "WebP JPEG కంటే చిన్న ఫైల్‌లను ఉత్పత్తి చేస్తుంది, కానీ ఎన్‌కోడ్ చేయడం నెమ్మదిగా ఉంటుంది.",
    "image_prefer_embedded_preview": "పొందుపరిచిన పరిదృశ్యానికి ప్రాధాన్యత ఇవ్వండి",
    "image_prefer_embedded_preview_setting_description": "అందుబాటులో ఉన్నప్పుడు ఇమేజ్ ప్రాసెసింగ్‌కు ఇన్‌పుట్‌గా RAW ఫోటోలలో ఎంబెడెడ్ ప్రివ్యూలను ఉపయోగించండి. ఇది కొన్ని చిత్రాలకు మరింత ఖచ్చితమైన రంగులను ఉత్పత్తి చేయగలదు, అయితే ప్రివ్యూ నాణ్యత కెమెరాపై ఆధారపడి ఉంటుంది మరియు చిత్రం మరిన్ని కుదింపు కళాఖండాలను కలిగి ఉండవచ్చు.",
    "image_prefer_wide_gamut": "విస్తృత స్వరసప్తకానికి ప్రాధాన్యత ఇవ్వండి",
    "image_prefer_wide_gamut_setting_description": "థంబ్‌నెయిల్‌ల కోసం డిస్‌ప్లే P3ని ఉపయోగించండి. ఇది విస్తృత రంగుల ఖాళీలతో చిత్రాల వైబ్రెన్స్‌ను మెరుగ్గా భద్రపరుస్తుంది, అయితే పాత బ్రౌజర్ వెర్షన్‌తో పాత పరికరాల్లో చిత్రాలు విభిన్నంగా కనిపించవచ్చు. రంగు మార్పులను నివారించడానికి sRGB చిత్రాలు sRGB వలె ఉంచబడతాయి.",
+    "image_preview_description": "ఒకే ఆస్తిని వీక్షించేటప్పుడు మరియు యంత్ర అభ్యాసం కోసం మెటాడేటా లేని మధ్యస్థ-పరిమాణ చిత్రం ఉపయోగించబడుతుంది",
+    "image_preview_quality_description": "1-100 వరకు ప్రివ్యూ నాణ్యత. ఎక్కువ ఉంటే మంచిది, కానీ పెద్ద ఫైళ్లను ఉత్పత్తి చేస్తుంది మరియు యాప్ ప్రతిస్పందనను తగ్గిస్తుంది. తక్కువ విలువను సెట్ చేయడం వల్ల మెషిన్ లెర్నింగ్ నాణ్యత ప్రభావితం కావచ్చు.",
    "image_quality": "నాణ్యత",
    "image_settings": "చిత్రం సెట్టింగ్‌లు",
    "image_settings_description": "రూపొందించబడిన చిత్రాల నాణ్యత మరియు రిజల్యూషన్‌ను నిర్వహించండి",
--- a/i18n/th.json
+++ b/i18n/th.json
@@ -96,7 +96,7 @@
    "library_scanning_enable_description": "เปิดการสแกนคลังภาพเป็นระยะ",
    "library_settings": "คลังภาพภายนอก",
    "library_settings_description": "จัดการการตั้งค่าคลังภาพภายนอก",
-    "library_tasks_description": "ทำงานคลังภาพ",
+    "library_tasks_description": "สแกนคลังภาพภายนอกสำหรับทรัพยากรใหม่และ/หรือที่เปลี่ยนแปลง",
    "library_watching_enable_description": "ดูคลังภาพภายนอกสำหรับการเปลี่ยนแปลงของไฟล์",
    "library_watching_settings": "การดูคลังภาพภายนอก (ฟีเจอร์ทดลอง)",
    "library_watching_settings_description": "หาไฟล์ที่เปลี่ยนแปลงโดยอัตโนมัติ",
@@ -1311,4 +1311,4 @@
  "yes": "ใช่",
  "you_dont_have_any_shared_links": "คุณไม่ได้มีลิงก์ที่แชร์",
  "zoom_image": "ซูมรูปภาพ"
-}
+}
--- a/i18n/uk.json
+++ b/i18n/uk.json
@@ -302,7 +302,7 @@
    "transcoding_max_b_frames": "Максимальна кількість проміжних кадрів",
    "transcoding_max_b_frames_description": "Вищі значення покращують ефективність стиснення, але збільшують час кодування. Можуть бути несумісні з апаратним прискоренням на старих пристроях. Значення 0 вимикає B-фрейми, а -1 автоматично налаштовує це значення.",
    "transcoding_max_bitrate": "Максимальний бітрейт",
-    "transcoding_max_bitrate_description": "Встановлення максимального бітрейту дозволяє зробити розміри файлів більш передбачуваними за мінорну вартість якості. Наприклад, для 720p типові значення: 2600к для VP9 або HEVC, або 4500к для H.264. Вимикається, якщо встановлено 0.",
+    "transcoding_max_bitrate_description": "Встановлення максимального бітрейту дозволяє зробити розміри файлів більш передбачуваними за мінорну вартість якості. Наприклад, для 720p типові значення: 2600 кбіт/с для VP9 або HEVC, або 4500 кбіт/с для H.264. Вимикається, якщо встановлено 0.",
    "transcoding_max_keyframe_interval": "Максимальний інтервал ключових кадрів",
    "transcoding_max_keyframe_interval_description": "Встановлює максимальну відстань між ключовими кадрами. Нижчі значення погіршують ефективність стиснення, але покращують час пошуку і можуть покращити якість в сценах з швидкими рухами. Значення 0 автоматично встановлює це значення.",
    "transcoding_optimal_description": "Відео з роздільною здатністю вище цільової або не в прийнятому форматі",
@@ -1079,6 +1079,8 @@
  "remove_from_album": "Видалити з альбому",
  "remove_from_favorites": "Видалити з обраного",
  "remove_from_shared_link": "Видалити зі спільного посилання",
+  "remove_memory": "Видалити спогад",
+  "remove_photo_from_memory": "Видалити фото з цього спогаду",
  "remove_url": "Видалити URL",
  "remove_user": "Видалити користувача",
  "removed_api_key": "Видалено ключ API: {name}",
@@ -1149,6 +1151,7 @@
  "searching_locales": "Триває пошук перекладів...",
  "second": "Секунда",
  "see_all_people": "Переглянути всіх людей",
+  "select": "Виберіть",
  "select_album_cover": "Обрати обкладинку альбому",
  "select_all": "Вибрати все",
  "select_all_duplicates": "Вибрати всі дублікати",
--- a/i18n/ur.json
+++ b/i18n/ur.json
@@ -1,3 +1,20 @@
 {
-  "about": "متعلق"
+  "about": "متعلق",
+  "account": "اکاؤنٹ",
+  "account_settings": "اکاؤنٹ کی ترتیبات",
+  "action": "عمل",
+  "actions": "اعمال",
+  "active": "فعال",
+  "activity": "سرگرمی",
+  "add": "شامل کریں",
+  "add_a_description": "تفصیل شامل کریں",
+  "add_a_location": "مقام شامل کریں",
+  "add_a_name": "نام شامل کریں",
+  "add_a_title": "عنوان شامل کریں",
+  "add_exclusion_pattern": "خارج کرنے کا نمونہ شامل کریں",
+  "add_import_path": "درآمد کا راستہ شامل کریں",
+  "add_location": "مقام شامل کریں",
+  "add_more_users": "مزید صارفین شامل کریں",
+  "add_partner": "ساتھی شامل کریں",
+  "add_path": "راستہ شامل کریں"
 }
--- a/i18n/zh_SIMPLIFIED.json
+++ b/i18n/zh_SIMPLIFIED.json
@@ -2,7 +2,7 @@
  "about": "关于",
  "account": "账户",
  "account_settings": "账户设置",
-  "acknowledge": "确认",
+  "acknowledge": "我知道了",
  "action": "操作",
  "actions": "操作",
  "active": "正在处理",
@@ -893,7 +893,7 @@
  "moved_to_trash": "已放入回收站",
  "mute_memories": "静音回忆",
  "my_albums": "我的相册",
-  "name": "姓名",
+  "name": "名称",
  "name_or_nickname": "名称或昵称",
  "never": "永不过期",
  "new_album": "新相册",
@@ -987,6 +987,7 @@
  "permanently_deleted_asset": "永久删除的项目",
  "permanently_deleted_assets_count": "{count, plural, one {#个项目} other {#个项目}}已删除",
  "person": "人物",
+  "person_birthdate": "出生于{date}",
  "person_hidden": "{name}{hidden, select, true {（已隐藏）} other {}}",
  "photo_shared_all_users": "看起来您已与所有用户共享了此相册，或者您根本没有任何用户可共享。",
  "photos": "照片",
@@ -1066,18 +1067,20 @@
  "refreshed": "已刷新",
  "refreshes_every_file": "重新扫描所有现有文件和新文件",
  "refreshing_encoded_video": "正在刷新已编码视频",
-  "refreshing_faces": "正在刷新人脸",
+  "refreshing_faces": "正在面部重新识别",
  "refreshing_metadata": "正在刷新元数据",
  "regenerating_thumbnails": "正在重新生成缩略图",
  "remove": "移除",
-  "remove_assets_album_confirmation": "确定要从项目中移除{count, plural, one {#个项目} other {#个项目}}？",
+  "remove_assets_album_confirmation": "确定要从图库中移除{count, plural, one {#个项目} other {#个项目}}？",
  "remove_assets_shared_link_confirmation": "确定要从共享链接中移除{count, plural, one {#个项目} other {#个项目}}？",
  "remove_assets_title": "移除项目？",
  "remove_custom_date_range": "取消自定义日期范围",
-  "remove_deleted_assets": "删除离线文件",
+  "remove_deleted_assets": "彻底删除文件",
  "remove_from_album": "从相册中移除",
  "remove_from_favorites": "移出收藏",
  "remove_from_shared_link": "从共享链接中移除",
+  "remove_memory": "移出回忆区",
+  "remove_photo_from_memory": "从当前回忆区移除照片",
  "remove_url": "移除 URL",
  "remove_user": "移除用户",
  "removed_api_key": "已移除 API Key：{name}",
@@ -1085,32 +1088,32 @@
  "removed_from_favorites": "从收藏中移除",
  "removed_from_favorites_count": "从收藏中移除{count, plural, other {#项}}",
  "removed_memory": "已删除的回忆",
-  "removed_photo_from_memory": "从回忆中删除的照片",
+  "removed_photo_from_memory": "从回忆区中删除的照片",
  "removed_tagged_assets": "从 {count, plural, one {# 个项目} other {# 个项目}}中删除标签",
  "rename": "重命名",
  "repair": "修复",
  "repair_no_results_message": "未跟踪和缺失的文件将在此处显示",
-  "replace_with_upload": "上传以替换",
+  "replace_with_upload": "上传并替换",
  "repository": "库",
  "require_password": "需要密码",
-  "require_user_to_change_password_on_first_login": "要求用户在首次登录时更改密码",
+  "require_user_to_change_password_on_first_login": "用户在首次登录时必须更改密码",
  "rescan": "重新扫描",
  "reset": "重置",
  "reset_password": "重置密码",
-  "reset_people_visibility": "重置人物可见性",
+  "reset_people_visibility": "重置人物识别",
  "reset_to_default": "恢复默认值",
  "resolve_duplicates": "处理重复项",
-  "resolved_all_duplicates": "解决所有重复问题",
+  "resolved_all_duplicates": "处理所有重复项",
  "restore": "恢复",
-  "restore_all": "恢复所有",
+  "restore_all": "恢复全部",
  "restore_user": "恢复用户",
  "restored_asset": "已恢复项目",
  "resume": "继续",
  "retry_upload": "重新上传",
  "review_duplicates": "检查重复项",
-  "role": "角色",
-  "role_editor": "编辑者",
-  "role_viewer": "查看者",
+  "role": "选择用户权限",
+  "role_editor": "可编辑",
+  "role_viewer": "仅查看",
  "save": "保存",
  "saved_api_key": "已保存的 API Key",
  "saved_profile": "已保存资料",
@@ -1122,38 +1125,39 @@
  "scanning_for_album": "扫描相册中...",
  "search": "搜索",
  "search_albums": "搜索相册",
-  "search_by_context": "按照片情景搜索",
-  "search_by_description": "按描述搜索",
+  "search_by_context": "通过描述的场景查找",
+  "search_by_description": "通过描述查找",
  "search_by_description_example": "在沙巴徒步的日子",
-  "search_by_filename": "按文件名搜索",
+  "search_by_filename": "按文件名或扩展名查找",
  "search_by_filename_example": "如 IMG_1234.JPG 或 PNG",
-  "search_camera_make": "搜索相机品牌...",
-  "search_camera_model": "搜索相机型号...",
-  "search_city": "搜索城市...",
-  "search_country": "搜索国家...",
-  "search_for": "搜索",
-  "search_for_existing_person": "搜索已有人物",
+  "search_camera_make": "按相机品牌查找...",
+  "search_camera_model": "按相机型号查找...",
+  "search_city": "按城市查找...",
+  "search_country": "按国家查找...",
+  "search_for": "查找",
+  "search_for_existing_person": "查找已有人物",
  "search_no_people": "找不到人物",
  "search_no_people_named": "人物“{name}”不存在",
  "search_options": "搜索选项",
-  "search_people": "搜索人物",
-  "search_places": "搜索地点",
-  "search_rating": "按星级搜索...",
+  "search_people": "按人物查找",
+  "search_places": "按地点查找",
+  "search_rating": "按星级查找...",
  "search_settings": "搜索设置",
-  "search_state": "搜索省份...",
-  "search_tags": "搜索标签…",
-  "search_timezone": "搜索时区...",
-  "search_type": "搜索类型",
-  "search_your_photos": "搜索您的照片",
-  "searching_locales": "搜索地区...",
+  "search_state": "按省份查找...",
+  "search_tags": "按标签查找…",
+  "search_timezone": "按时区查找...",
+  "search_type": "按类型查找",
+  "search_your_photos": "查找您的照片",
+  "searching_locales": "根据地区查找...",
  "second": "秒",
  "see_all_people": "查看所有人物",
+  "select": "选择",
  "select_album_cover": "选择相册封面",
  "select_all": "全选",
  "select_all_duplicates": "选择所有重复项",
  "select_avatar_color": "选择头像颜色",
  "select_face": "选择人脸",
-  "select_featured_photo": "选择人物头像",
+  "select_featured_photo": "选择个性头像",
  "select_from_computer": "从计算机中选择",
  "select_keep_all": "全部保留",
  "select_library_owner": "选择图库所有者",
@@ -1166,7 +1170,7 @@
  "send_welcome_email": "发送欢迎邮件",
  "server_offline": "服务器离线",
  "server_online": "服务器在线",
-  "server_stats": "服务统计",
+  "server_stats": "服务器状态",
  "server_version": "服务器版本",
  "set": "设置",
  "set_as_album_cover": "设为相册封面",
@@ -1374,4 +1378,4 @@
  "yes": "是",
  "you_dont_have_any_shared_links": "您没有任何共享链接",
  "zoom_image": "缩放图像"
-}
+}
--- a/machine-learning/Dockerfile
+++ b/machine-learning/Dockerfile
@@ -1,6 +1,6 @@
 ARG DEVICE=cpu

-FROM python:3.11-bookworm@sha256:d270285656e8f061ae0004297df62ac4b26d5cef9408b9cc9a5bf08c2cd8d60c AS builder-cpu
+FROM python:3.11-bookworm@sha256:ebfa8696e47a68cffebb31e370a93ce57c01bc753f246ceaaef72801d1661351 AS builder-cpu

 FROM builder-cpu AS builder-openvino

@@ -51,11 +51,10 @@ ARG DEVICE
 ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    VIRTUAL_ENV=/opt/venv
-WORKDIR /usr/src/app

 RUN apt-get update && apt-get install -y --no-install-recommends g++

-COPY --from=ghcr.io/astral-sh/uv:latest@sha256:cb641b1979723dc5ab87d61f079000009edc107d30ae7cbb6e7419fdac044e9f /uv /uvx /bin/
+COPY --from=ghcr.io/astral-sh/uv:latest@sha256:57da96c4557243fc0a732817854084e81af9393f64dc7d172f39c16465b5e2ba /uv /uvx /bin/
 RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
@@ -66,6 +65,8 @@ RUN if [ "$DEVICE" = "rocm" ]; then \

 FROM python:3.11-slim-bookworm@sha256:7029b00486ac40bed03e36775b864d3f3d39dcbdf19cd45e6a52d541e6c178f0 AS prod-cpu

+ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2
+
 FROM prod-cpu AS prod-openvino

 RUN apt-get update && \
@@ -94,7 +95,8 @@ FROM rocm/dev-ubuntu-22.04:6.3.4-complete@sha256:1f7e92ca7e3a3785680473329ed1091

 FROM prod-cpu AS prod-armnn

-ENV LD_LIBRARY_PATH=/opt/armnn
+ENV LD_LIBRARY_PATH=/opt/armnn \
+    LD_PRELOAD=/usr/lib/libmimalloc.so.2

 RUN apt-get update && apt-get install -y --no-install-recommends ocl-icd-libopencl1 mesa-opencl-icd libgomp1 && \
    rm -rf /var/lib/apt/lists/* && \
@@ -114,6 +116,8 @@ COPY --from=builder-armnn \

 FROM prod-cpu AS prod-rknn

+ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2
+
 ADD --checksum=sha256:73993ed4b440460825f21611731564503cc1d5a0c123746477da6cd574f34885 https://github.com/airockchip/rknn-toolkit2/raw/refs/tags/v2.3.0/rknpu2/runtime/Linux/librknn_api/aarch64/librknnrt.so /usr/lib/

 FROM prod-${DEVICE} AS prod
@@ -126,14 +130,18 @@ RUN apt-get update && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

-WORKDIR /usr/src/app
+RUN ln -s "/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2" /usr/lib/libmimalloc.so.2
+
+WORKDIR /usr/src
 ENV TRANSFORMERS_CACHE=/cache \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PATH="/opt/venv/bin:$PATH" \
    PYTHONPATH=/usr/src \
    DEVICE=${DEVICE} \
-    VIRTUAL_ENV=/opt/venv
+    VIRTUAL_ENV=/opt/venv \
+    LD_BIND_NOW=1 \
+    MACHINE_LEARNING_CACHE_FOLDER=/cache

 # prevent core dumps
 RUN echo "hard core 0" >> /etc/security/limits.conf && \
@@ -141,9 +149,7 @@ RUN echo "hard core 0" >> /etc/security/limits.conf && \
    echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile

 COPY --from=builder /opt/venv /opt/venv
-COPY ann/ann.py /usr/src/ann/ann.py
-COPY start.sh log_conf.json gunicorn_conf.py ./
-COPY app .
+COPY immich_ml immich_ml

 ARG BUILD_ID
 ARG BUILD_IMAGE
@@ -161,6 +167,6 @@ ENV IMMICH_SOURCE_COMMIT=${BUILD_SOURCE_COMMIT}
 ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/${BUILD_SOURCE_COMMIT}

 ENTRYPOINT ["tini", "--"]
-CMD ["./start.sh"]
+CMD ["python", "-m", "immich_ml"]

-HEALTHCHECK CMD python3 healthcheck.py
+HEALTHCHECK CMD python3 healthcheck.py
--- a/machine-learning/app/conftest.py
+++ b/machine-learning/app/conftest.py
@@ -8,9 +8,8 @@ from fastapi.testclient import TestClient
 from numpy.typing import NDArray
 from PIL import Image

-from app.config import log
-
-from .main import app
+from immich_ml.config import log
+from immich_ml.main import app


@pytest.fixture
@@ -25,7 +24,7 @@ def cv_image(pil_image: Image.Image) -> NDArray[np.float32]:

@pytest.fixture
 def mock_get_model() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.cache.from_model_type", autospec=True) as mocked:
+    with mock.patch("immich_ml.models.cache.from_model_type", autospec=True) as mocked:
        yield mocked


@@ -104,14 +103,14 @@ def providers(request: pytest.FixtureRequest) -> Iterator[mock.Mock]:
        raise ValueError("Missing marker 'providers'")

    providers = marker.args[0]
-    with mock.patch("app.sessions.ort.ort.get_available_providers") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.get_available_providers") as mocked:
        mocked.return_value = providers
        yield providers


@pytest.fixture(scope="function")
 def ort_pybind() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ort.ort.capi._pybind_state") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.capi._pybind_state") as mocked:
        yield mocked


@@ -126,25 +125,25 @@ def ov_device_ids(request: pytest.FixtureRequest, ort_pybind: mock.Mock) -> Iter

@pytest.fixture(scope="function")
 def ort_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ort.ort.InferenceSession") as mocked:
+    with mock.patch("immich_ml.sessions.ort.ort.InferenceSession") as mocked:
        yield mocked


@pytest.fixture(scope="function")
 def ann_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.ann.Ann") as mocked:
+    with mock.patch("immich_ml.sessions.ann.Ann") as mocked:
        yield mocked


@pytest.fixture(scope="function")
 def rknn_session() -> Iterator[mock.Mock]:
-    with mock.patch("app.sessions.rknn.RknnPoolExecutor") as mocked:
+    with mock.patch("immich_ml.sessions.rknn.RknnPoolExecutor") as mocked:
        yield mocked


@pytest.fixture(scope="function")
 def rmtree() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.base.rmtree", autospec=True) as mocked:
+    with mock.patch("immich_ml.models.base.rmtree", autospec=True) as mocked:
        mocked.avoids_symlink_attacks = True
        yield mocked

@@ -158,7 +157,7 @@ def path() -> Iterator[mock.Mock]:
    path.with_suffix.return_value = path
    path.return_value = path

-    with mock.patch("app.models.base.Path", return_value=path) as mocked:
+    with mock.patch("immich_ml.models.base.Path", return_value=path) as mocked:
        yield mocked


@@ -182,5 +181,5 @@ def exception() -> Iterator[mock.Mock]:

@pytest.fixture(scope="function")
 def snapshot_download() -> Iterator[mock.Mock]:
-    with mock.patch("app.models.base.snapshot_download") as mocked:
+    with mock.patch("immich_ml.models.base.snapshot_download") as mocked:
        yield mocked
--- a/machine-learning/export/.python-version
+++ b/machine-learning/export/.python-version
@@ -1 +0,0 @@
-3.12
--- a/machine-learning/export/README.md
+++ b/machine-learning/export/README.md
--- a/machine-learning/export/immich_model_exporter/init.py
+++ b/machine-learning/export/immich_model_exporter/init.py
@@ -1,165 +0,0 @@
-import json
-import resource
-from pathlib import Path
-
-import typer
-from tenacity import retry, stop_after_attempt, wait_fixed
-from typing_extensions import Annotated
-
-from .exporters.constants import DELETE_PATTERNS, SOURCE_TO_METADATA, ModelSource, ModelTask
-from .exporters.onnx import export as onnx_export
-from .exporters.rknn import export as rknn_export
-
-app = typer.Typer(pretty_exceptions_show_locals=False)
-
-
-def generate_readme(model_name: str, model_source: ModelSource) -> str:
-    (name, link, type) = SOURCE_TO_METADATA[model_source]
-    match model_source:
-        case ModelSource.MCLIP:
-            tags = ["immich", "clip", "multilingual"]
-        case ModelSource.OPENCLIP:
-            tags = ["immich", "clip"]
-            lowered = model_name.lower()
-            if "xlm" in lowered or "nllb" in lowered:
-                tags.append("multilingual")
-        case ModelSource.INSIGHTFACE:
-            tags = ["immich", "facial-recognition"]
-        case _:
-            raise ValueError(f"Unsupported model source {model_source}")
-
-    return f"""---
-tags:
-{" - " + "\n - ".join(tags)}
---
-# Model Description
-
-This repo contains ONNX exports for the associated {type} model by {name}. See the [{name}]({link}) repo for more info.
-
-This repo is specifically intended for use with [Immich](https://immich.app/), a self-hosted photo library.
-"""
-
-
-def clean_name(model_name: str) -> str:
-    hf_model_name = model_name.split("/")[-1]
-    hf_model_name = hf_model_name.replace("xlm-roberta-large", "XLM-Roberta-Large")
-    hf_model_name = hf_model_name.replace("xlm-roberta-base", "XLM-Roberta-Base")
-    return hf_model_name
-
-
-@app.command()
-def export(model_name: str, model_source: ModelSource, output_dir: Path = Path("models"), cache: bool = True) -> None:
-    hf_model_name = clean_name(model_name)
-    output_dir = output_dir / hf_model_name
-    match model_source:
-        case ModelSource.MCLIP | ModelSource.OPENCLIP:
-            output_dir.mkdir(parents=True, exist_ok=True)
-            onnx_export(model_name, model_source, output_dir, cache=cache)
-        case ModelSource.INSIGHTFACE:
-            from huggingface_hub import snapshot_download
-
-            # TODO: start from insightface dump instead of downloading from HF
-            snapshot_download(f"immich-app/{hf_model_name}", local_dir=output_dir)
-        case _:
-            raise ValueError(f"Unsupported model source {model_source}")
-
-    try:
-        rknn_export(output_dir, cache=cache)
-    except Exception as e:
-        print(f"Failed to export model {model_name} to rknn: {e}")
-        (output_dir / "rknpu").unlink(missing_ok=True)
-
-    readme_path = output_dir / "README.md"
-    if not (cache or readme_path.exists()):
-        with open(readme_path, "w") as f:
-            f.write(generate_readme(model_name, model_source))
-
-
-@app.command()
-def profile(model_dir: Path, model_task: ModelTask, output_path: Path) -> None:
-    from timeit import timeit
-
-    import numpy as np
-    import onnxruntime as ort
-
-    np.random.seed(0)
-
-    sess_options = ort.SessionOptions()
-    sess_options.enable_cpu_mem_arena = False
-    providers = ["CPUExecutionProvider"]
-    provider_options = [{"arena_extend_strategy": "kSameAsRequested"}]
-    match model_task:
-        case ModelTask.SEARCH:
-            textual = ort.InferenceSession(
-                model_dir / "textual" / "model.onnx",
-                sess_options=sess_options,
-                providers=providers,
-                provider_options=provider_options,
-            )
-            tokens = {node.name: np.random.rand(*node.shape).astype(np.int32) for node in textual.get_inputs()}
-
-            visual = ort.InferenceSession(
-                model_dir / "visual" / "model.onnx",
-                sess_options=sess_options,
-                providers=providers,
-                provider_options=provider_options,
-            )
-            image = {node.name: np.random.rand(*node.shape).astype(np.float32) for node in visual.get_inputs()}
-
-            def predict() -> None:
-                textual.run(None, tokens)
-                visual.run(None, image)
-
-        case ModelTask.FACIAL_RECOGNITION:
-            detection = ort.InferenceSession(
-                model_dir / "detection" / "model.onnx",
-                sess_options=sess_options,
-                providers=providers,
-                provider_options=provider_options,
-            )
-            image = {node.name: np.random.rand(1, 3, 640, 640).astype(np.float32) for node in detection.get_inputs()}
-
-            recognition = ort.InferenceSession(
-                model_dir / "recognition" / "model.onnx",
-                sess_options=sess_options,
-                providers=providers,
-                provider_options=provider_options,
-            )
-            face = {node.name: np.random.rand(1, 3, 112, 112).astype(np.float32) for node in recognition.get_inputs()}
-
-            def predict() -> None:
-                detection.run(None, image)
-                recognition.run(None, face)
-
-        case _:
-            raise ValueError(f"Unsupported model task {model_task}")
-    predict()
-    ms = timeit(predict, number=100)
-    rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
-    json.dump({"pretrained_model": model_dir.name, "peak_rss": rss, "exec_time_ms": ms}, output_path.open("w"))
-    print(f"Model {model_dir.name} took {ms:.2f}ms per iteration using {rss / 1024:.2f}MiB of memory")
-
-
-@app.command()
-def upload(
-    model_dir: Path,
-    hf_organization: str = "immich-app",
-    hf_auth_token: Annotated[str | None, typer.Option(envvar="HF_AUTH_TOKEN")] = None,
-) -> None:
-    from huggingface_hub import create_repo, upload_folder
-
-    repo_id = f"{hf_organization}/{model_dir.name}"
-
-    @retry(stop=stop_after_attempt(5), wait=wait_fixed(5))
-    def upload_model() -> None:
-        create_repo(repo_id, exist_ok=True, token=hf_auth_token)
-        upload_folder(
-            repo_id=repo_id,
-            folder_path=model_dir,
-            # remote repo files to be deleted before uploading
-            # deletion is in the same commit as the upload, so it's atomic
-            delete_patterns=DELETE_PATTERNS,
-            token=hf_auth_token,
-        )
-
-    upload_model()
--- a/machine-learning/export/immich_model_exporter/main.py
+++ b/machine-learning/export/immich_model_exporter/main.py
@@ -1,3 +0,0 @@
-from immich_model_exporter import app
-
-app()
--- a/machine-learning/export/immich_model_exporter/exporters/constants.py
+++ b/machine-learning/export/immich_model_exporter/exporters/constants.py
@@ -1,54 +0,0 @@
-from enum import StrEnum
-from typing import NamedTuple
-
-
-class ModelSource(StrEnum):
-    INSIGHTFACE = "insightface"
-    MCLIP = "mclip"
-    OPENCLIP = "openclip"
-
-
-class ModelTask(StrEnum):
-    FACIAL_RECOGNITION = "facial-recognition"
-    SEARCH = "clip"
-
-
-class SourceMetadata(NamedTuple):
-    name: str
-    link: str
-    type: str
-
-
-SOURCE_TO_METADATA = {
-    ModelSource.MCLIP: SourceMetadata("M-CLIP", "https://huggingface.co/M-CLIP", "CLIP"),
-    ModelSource.OPENCLIP: SourceMetadata("OpenCLIP", "https://github.com/mlfoundations/open_clip", "CLIP"),
-    ModelSource.INSIGHTFACE: SourceMetadata(
-        "InsightFace", "https://github.com/deepinsight/insightface/tree/master", "facial recognition"
-    ),
-}
-
-
-SOURCE_TO_TASK = {
-    ModelSource.MCLIP: ModelTask.SEARCH,
-    ModelSource.OPENCLIP: ModelTask.SEARCH,
-    ModelSource.INSIGHTFACE: ModelTask.FACIAL_RECOGNITION,
-}
-
-RKNN_SOCS = ["rk3566", "rk3568", "rk3576", "rk3588"]
-
-
-# glob to delete old UUID blobs when reuploading models
-_uuid_char = "[a-fA-F0-9]"
-_uuid_glob = _uuid_char * 8 + "-" + _uuid_char * 4 + "-" + _uuid_char * 4 + "-" + _uuid_char * 4 + "-" + _uuid_char * 12
-DELETE_PATTERNS = [
-    "**/*onnx*",
-    "**/Constant*",
-    "**/*.weight",
-    "**/*.bias",
-    "**/*.proj",
-    "**/*in_proj_bias",
-    "**/*.npy",
-    "**/*.latent",
-    "**/*.pos_embed",
-    f"**/{_uuid_glob}",
-]
--- a/machine-learning/export/immich_model_exporter/exporters/onnx/init.py
+++ b/machine-learning/export/immich_model_exporter/exporters/onnx/init.py
@@ -1,20 +0,0 @@
-from pathlib import Path
-
-from ..constants import ModelSource
-from .models import mclip, openclip
-
-
-def export(
-    model_name: str, model_source: ModelSource, output_dir: Path, opset_version: int = 19, cache: bool = True
-) -> None:
-    visual_dir = output_dir / "visual"
-    textual_dir = output_dir / "textual"
-    match model_source:
-        case ModelSource.MCLIP:
-            mclip.to_onnx(model_name, opset_version, visual_dir, textual_dir, cache=cache)
-        case ModelSource.OPENCLIP:
-            name, _, pretrained = model_name.partition("__")
-            config = openclip.OpenCLIPModelConfig(name, pretrained)
-            openclip.to_onnx(config, opset_version, visual_dir, textual_dir, cache=cache)
-        case _:
-            raise ValueError(f"Unsupported model source {model_source}")
--- a/machine-learning/export/immich_model_exporter/exporters/onnx/models/init.py
+++ b/machine-learning/export/immich_model_exporter/exporters/onnx/models/init.py
--- a/machine-learning/export/immich_model_exporter/exporters/onnx/models/mclip.py
+++ b/machine-learning/export/immich_model_exporter/exporters/onnx/models/mclip.py
@@ -1,77 +0,0 @@
-import warnings
-from pathlib import Path
-from typing import Any
-
-from .openclip import OpenCLIPModelConfig
-from .openclip import to_onnx as openclip_to_onnx
-from .util import get_model_path
-
-_MCLIP_TO_OPENCLIP = {
-    "M-CLIP/XLM-Roberta-Large-Vit-B-32": OpenCLIPModelConfig("ViT-B-32", "openai"),
-    "M-CLIP/XLM-Roberta-Large-Vit-B-16Plus": OpenCLIPModelConfig("ViT-B-16-plus-240", "laion400m_e32"),
-    "M-CLIP/LABSE-Vit-L-14": OpenCLIPModelConfig("ViT-L-14", "openai"),
-    "M-CLIP/XLM-Roberta-Large-Vit-L-14": OpenCLIPModelConfig("ViT-L-14", "openai"),
-}
-
-
-def to_onnx(
-    model_name: str,
-    opset_version: int,
-    output_dir_visual: Path | str,
-    output_dir_textual: Path | str,
-    cache: bool = True,
-) -> tuple[Path, Path]:
-    textual_path = get_model_path(output_dir_textual)
-    if not cache or not textual_path.exists():
-        import torch
-        from multilingual_clip.pt_multilingual_clip import MultilingualCLIP
-        from transformers import AutoTokenizer
-
-        torch.backends.mha.set_fastpath_enabled(False)
-
-        model = MultilingualCLIP.from_pretrained(model_name)
-        AutoTokenizer.from_pretrained(model_name).save_pretrained(output_dir_textual)
-
-        model.eval()
-        for param in model.parameters():
-            param.requires_grad_(False)
-
-        _export_text_encoder(model, textual_path, opset_version)
-    else:
-        print(f"Model {textual_path} already exists, skipping")
-    visual_path, _ = openclip_to_onnx(_MCLIP_TO_OPENCLIP[model_name], opset_version, output_dir_visual, cache=cache)
-    assert visual_path is not None, "Visual model export failed"
-    return visual_path, textual_path
-
-
-def _export_text_encoder(model: Any, output_path: Path | str, opset_version: int) -> None:
-    import torch
-    from multilingual_clip.pt_multilingual_clip import MultilingualCLIP
-
-    output_path = Path(output_path)
-
-    def forward(self: MultilingualCLIP, input_ids: torch.Tensor, attention_mask: torch.Tensor) -> torch.Tensor:
-        embs = self.transformer(input_ids, attention_mask)[0]
-        embs = (embs * attention_mask.unsqueeze(2)).sum(dim=1) / attention_mask.sum(dim=1)[:, None]
-        embs = self.LinearTransformation(embs)
-        return torch.nn.functional.normalize(embs, dim=-1)
-
-    # unfortunately need to monkeypatch for tracing to work here
-    # otherwise it hits the 2GiB protobuf serialization limit
-    MultilingualCLIP.forward = forward
-
-    args = (torch.ones(1, 77, dtype=torch.int32), torch.ones(1, 77, dtype=torch.int32))
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", UserWarning)
-        torch.onnx.export(
-            model,
-            args,
-            output_path.as_posix(),
-            input_names=["input_ids", "attention_mask"],
-            output_names=["embedding"],
-            opset_version=opset_version,
-            # dynamic_axes={
-            #     "input_ids": {0: "batch_size", 1: "sequence_length"},
-            #     "attention_mask": {0: "batch_size", 1: "sequence_length"},
-            # },
-        )
--- a/machine-learning/export/immich_model_exporter/exporters/onnx/models/openclip.py
+++ b/machine-learning/export/immich_model_exporter/exporters/onnx/models/openclip.py
@@ -1,151 +0,0 @@
-import warnings
-from dataclasses import dataclass
-from functools import cached_property
-from pathlib import Path
-from typing import Any
-
-from .util import get_model_path, save_config
-
-
-@dataclass
-class OpenCLIPModelConfig:
-    name: str
-    pretrained: str
-
-    @cached_property
-    def model_config(self) -> dict[str, Any]:
-        import open_clip
-
-        config: dict[str, Any] | None = open_clip.get_model_config(self.name)
-        if config is None:
-            raise ValueError(f"Unknown model {self.name}")
-        return config
-
-    @property
-    def image_size(self) -> int:
-        image_size: int = self.model_config["vision_cfg"]["image_size"]
-        return image_size
-
-    @property
-    def sequence_length(self) -> int:
-        context_length: int = self.model_config["text_cfg"].get("context_length", 77)
-        return context_length
-
-
-def to_onnx(
-    model_cfg: OpenCLIPModelConfig,
-    opset_version: int,
-    output_dir_visual: Path | str | None = None,
-    output_dir_textual: Path | str | None = None,
-    cache: bool = True,
-) -> tuple[Path | None, Path | None]:
-    visual_path = None
-    textual_path = None
-    if output_dir_visual is not None:
-        output_dir_visual = Path(output_dir_visual)
-        visual_path = get_model_path(output_dir_visual)
-
-    if output_dir_textual is not None:
-        output_dir_textual = Path(output_dir_textual)
-        textual_path = get_model_path(output_dir_textual)
-
-    if cache and ((textual_path is None or textual_path.exists()) and (visual_path is None or visual_path.exists())):
-        print(f"Models {textual_path} and {visual_path} already exist, skipping")
-        return visual_path, textual_path
-
-    import open_clip
-    import torch
-    from transformers import AutoTokenizer
-
-    torch.backends.mha.set_fastpath_enabled(False)
-
-    model = open_clip.create_model(
-        model_cfg.name,
-        pretrained=model_cfg.pretrained,
-        jit=False,
-        require_pretrained=True,
-    )
-
-    text_vision_cfg = open_clip.get_model_config(model_cfg.name)
-
-    model.eval()
-    for param in model.parameters():
-        param.requires_grad_(False)
-
-    if visual_path is not None and output_dir_visual is not None:
-        if not cache or not visual_path.exists():
-            save_config(
-                open_clip.get_model_preprocess_cfg(model),
-                output_dir_visual / "preprocess_cfg.json",
-            )
-            save_config(text_vision_cfg, output_dir_visual.parent / "config.json")
-            _export_image_encoder(model, model_cfg, visual_path, opset_version)
-        else:
-            print(f"Model {visual_path} already exists, skipping")
-
-    if textual_path is not None and output_dir_textual is not None:
-        if not cache or not textual_path.exists():
-            tokenizer_name = text_vision_cfg["text_cfg"].get("hf_tokenizer_name", "openai/clip-vit-base-patch32")
-            AutoTokenizer.from_pretrained(tokenizer_name).save_pretrained(output_dir_textual)
-            _export_text_encoder(model, model_cfg, textual_path, opset_version)
-        else:
-            print(f"Model {textual_path} already exists, skipping")
-    return visual_path, textual_path
-
-
-def _export_image_encoder(
-    model: Any, model_cfg: OpenCLIPModelConfig, output_path: Path | str, opset_version: int
-) -> None:
-    import torch
-
-    output_path = Path(output_path)
-
-    def encode_image(image: torch.Tensor) -> torch.Tensor:
-        output = model.encode_image(image, normalize=True)
-        assert isinstance(output, torch.Tensor)
-        return output
-
-    model.forward = encode_image
-
-    args = (torch.randn(1, 3, model_cfg.image_size, model_cfg.image_size),)
-
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", UserWarning)
-        torch.onnx.export(
-            model,
-            args,
-            output_path.as_posix(),
-            input_names=["image"],
-            output_names=["embedding"],
-            opset_version=opset_version,
-            # dynamic_axes={"image": {0: "batch_size"}},
-        )
-
-
-def _export_text_encoder(
-    model: Any, model_cfg: OpenCLIPModelConfig, output_path: Path | str, opset_version: int
-) -> None:
-    import torch
-
-    output_path = Path(output_path)
-
-    def encode_text(text: torch.Tensor) -> torch.Tensor:
-        output = model.encode_text(text, normalize=True)
-        assert isinstance(output, torch.Tensor)
-        return output
-
-    model.forward = encode_text
-
-    args = (torch.ones(1, model_cfg.sequence_length, dtype=torch.int32),)
-
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", UserWarning)
-        torch.onnx.export(
-            model,
-            args,
-            output_path.as_posix(),
-            input_names=["text"],
-            output_names=["embedding"],
-            opset_version=opset_version,
-            # dynamic_axes={"text": {0: "batch_size"}},
-        )
--- a/machine-learning/export/immich_model_exporter/exporters/onnx/models/util.py
+++ b/machine-learning/export/immich_model_exporter/exporters/onnx/models/util.py
@@ -1,15 +0,0 @@
-import json
-from pathlib import Path
-from typing import Any
-
-
-def get_model_path(output_dir: Path | str) -> Path:
-    output_dir = Path(output_dir)
-    output_dir.mkdir(parents=True, exist_ok=True)
-    return output_dir / "model.onnx"
-
-
-def save_config(config: Any, output_path: Path | str) -> None:
-    output_path = Path(output_path)
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    json.dump(config, output_path.open("w"))
--- a/machine-learning/export/immich_model_exporter/exporters/rknn.py
+++ b/machine-learning/export/immich_model_exporter/exporters/rknn.py
@@ -1,96 +0,0 @@
-from pathlib import Path
-
-from .constants import RKNN_SOCS
-
-
-def _export_platform(
-    model_dir: Path,
-    target_platform: str,
-    inputs: list[str] | None = None,
-    input_size_list: list[list[int]] | None = None,
-    fuse_matmul_softmax_matmul_to_sdpa: bool = True,
-    cache: bool = True,
-) -> None:
-    from rknn.api import RKNN
-
-    input_path = model_dir / "model.onnx"
-    output_path = model_dir / "rknpu" / target_platform / "model.rknn"
-    if cache and output_path.exists():
-        print(f"Model {input_path} already exists at {output_path}, skipping")
-        return
-
-    print(f"Exporting model {input_path} to {output_path}")
-
-    rknn = RKNN(verbose=False)
-
-    rknn.config(
-        target_platform=target_platform,
-        disable_rules=["fuse_matmul_softmax_matmul_to_sdpa"] if not fuse_matmul_softmax_matmul_to_sdpa else [],
-        enable_flash_attention=False,
-        model_pruning=True,
-    )
-    ret = rknn.load_onnx(model=input_path.as_posix(), inputs=inputs, input_size_list=input_size_list)
-
-    if ret != 0:
-        raise RuntimeError("Load failed!")
-
-    ret = rknn.build(do_quantization=False)
-
-    if ret != 0:
-        raise RuntimeError("Build failed!")
-
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    ret = rknn.export_rknn(output_path.as_posix())
-    if ret != 0:
-        raise RuntimeError("Export rknn model failed!")
-
-
-def _export_platforms(
-    model_dir: Path,
-    inputs: list[str] | None = None,
-    input_size_list: list[list[int]] | None = None,
-    cache: bool = True,
-) -> None:
-    fuse_matmul_softmax_matmul_to_sdpa = True
-    for soc in RKNN_SOCS:
-        try:
-            _export_platform(
-                model_dir,
-                soc,
-                inputs=inputs,
-                input_size_list=input_size_list,
-                fuse_matmul_softmax_matmul_to_sdpa=fuse_matmul_softmax_matmul_to_sdpa,
-                cache=cache,
-            )
-        except Exception as e:
-            print(f"Failed to export model for {soc}: {e}")
-            if "inputs or 'outputs' must be set" in str(e):
-                print("Retrying without fuse_matmul_softmax_matmul_to_sdpa")
-                fuse_matmul_softmax_matmul_to_sdpa = False
-                _export_platform(
-                    model_dir,
-                    soc,
-                    inputs=inputs,
-                    input_size_list=input_size_list,
-                    fuse_matmul_softmax_matmul_to_sdpa=fuse_matmul_softmax_matmul_to_sdpa,
-                    cache=cache,
-                )
-
-
-def export(model_dir: Path, cache: bool = True) -> None:
-    textual = model_dir / "textual"
-    visual = model_dir / "visual"
-    detection = model_dir / "detection"
-    recognition = model_dir / "recognition"
-
-    if textual.is_dir():
-        _export_platforms(textual, cache=cache)
-
-    if visual.is_dir():
-        _export_platforms(visual, cache=cache)
-
-    if detection.is_dir():
-        _export_platforms(detection, inputs=["input.1"], input_size_list=[[1, 3, 640, 640]], cache=cache)
-
-    if recognition.is_dir():
-        _export_platforms(recognition, inputs=["input.1"], input_size_list=[[1, 3, 112, 112]], cache=cache)
--- a/machine-learning/export/immich_model_exporter/get_dims.py
+++ b/machine-learning/export/immich_model_exporter/get_dims.py
@@ -1,22 +0,0 @@
-import json
-from pathlib import Path
-
-models_dir = Path("models")
-model_to_embed_dim = {}
-for model_dir in models_dir.iterdir():
-    if not model_dir.is_dir():
-        continue
-
-    config_path = model_dir / "config.json"
-    if not config_path.exists():
-        print(f"Skipping {model_dir.name} as it does not have a config.json")
-        continue
-    with open(config_path) as f:
-        config = json.load(f)
-        embed_dim = config.get("embed_dim")
-        if embed_dim is None:
-            print(f"Skipping {model_dir.name} as it does not have an embed_dim")
-            continue
-        print(f"{model_dir.name}: {embed_dim}")
-        model_to_embed_dim[model_dir.name] = {"dimSize": embed_dim}
-print(json.dumps(model_to_embed_dim))
--- a/machine-learning/export/immich_model_exporter/parse_eval_data.py
+++ b/machine-learning/export/immich_model_exporter/parse_eval_data.py
@@ -1,121 +0,0 @@
-import polars as pl
-
-
-def collapsed_table(language: str, df: pl.DataFrame) -> str:
-    with pl.Config(
-        tbl_formatting="ASCII_MARKDOWN",
-        tbl_hide_column_data_types=True,
-        tbl_hide_dataframe_shape=True,
-        fmt_str_lengths=100,
-        tbl_rows=1000,
-        tbl_width_chars=1000,
-    ):
-        return f"<details>\n<summary>{language}</summary>\n{str(df)}\n</details>"
-
-
-languages = {
-    "en": "English",
-    "ar": "Arabic",
-    "bn": "Bengali",
-    "zh": "Chinese (Simplified)",
-    "hr": "Croatian",
-    "quz": "Cusco Quechua",
-    "cs": "Czech",
-    "da": "Danish",
-    "nl": "Dutch",
-    "fil": "Filipino",
-    "fi": "Finnish",
-    "fr": "French",
-    "de": "German",
-    "el": "Greek",
-    "he": "Hebrew",
-    "hi": "Hindi",
-    "hu": "Hungarian",
-    "id": "Indonesian",
-    "it": "Italian",
-    "ja": "Japanese",
-    "ko": "Korean",
-    "mi": "Maori",
-    "no": "Norwegian",
-    "fa": "Persian",
-    "pl": "Polish",
-    "pt": "Portuguese",
-    "ro": "Romanian",
-    "ru": "Russian",
-    "es": "Spanish",
-    "sw": "Swahili",
-    "sv": "Swedish",
-    "te": "Telugu",
-    "th": "Thai",
-    "tr": "Turkish",
-    "uk": "Ukrainian",
-    "vi": "Vietnamese",
-}
-
-profile_df = pl.scan_ndjson("profiling/*.json").select("pretrained_model", "peak_rss", "exec_time_ms")
-eval_df = pl.scan_ndjson("results/*.json").select("model", "pretrained", "language", "metrics")
-
-eval_df = eval_df.with_columns(
-    model=pl.col("model")
-    .str.replace("xlm-roberta-base", "XLM-Roberta-Base")
-    .str.replace("xlm-roberta-large", "XLM-Roberta-Large")
-)
-eval_df = eval_df.with_columns(pretrained_model=pl.concat_str(pl.col("model"), pl.col("pretrained"), separator="__"))
-eval_df = eval_df.drop("model", "pretrained")
-eval_df = eval_df.join(profile_df, on="pretrained_model")
-
-eval_df = eval_df.with_columns(
-    recall=(
-        pl.col("metrics").struct.field("image_retrieval_recall@1")
-        + pl.col("metrics").struct.field("image_retrieval_recall@5")
-        + pl.col("metrics").struct.field("image_retrieval_recall@10")
-    )
-    * (100 / 3)
-)
-
-pareto_front = eval_df.join_where(
-    eval_df.select("language", "peak_rss", "exec_time_ms", "recall").rename(
-        {
-            "language": "language_other",
-            "peak_rss": "peak_rss_other",
-            "exec_time_ms": "exec_time_ms_other",
-            "recall": "recall_other",
-        }
-    ),
-    (pl.col("language") == pl.col("language_other"))
-    & (pl.col("peak_rss_other") <= pl.col("peak_rss"))
-    & (pl.col("exec_time_ms_other") <= pl.col("exec_time_ms"))
-    & (pl.col("recall_other") >= pl.col("recall"))
-    & (
-        (pl.col("peak_rss_other") < pl.col("peak_rss"))
-        | (pl.col("exec_time_ms_other") < pl.col("exec_time_ms"))
-        | (pl.col("recall_other") > pl.col("recall"))
-    ),
-)
-eval_df = eval_df.join(pareto_front, on=["pretrained_model", "language"], how="left")
-eval_df = eval_df.with_columns(is_pareto=pl.col("recall_other").is_null())
-eval_df = (
-    eval_df.drop("peak_rss_other", "exec_time_ms_other", "recall_other", "language_other")
-    .unique(subset=["pretrained_model", "language"])
-    .collect()
-)
-eval_df.write_parquet("model_info.parquet")
-
-eval_df = eval_df.drop("metrics")
-eval_df = eval_df.filter(pl.col("recall") >= 20)
-eval_df = eval_df.sort("recall", descending=True)
-eval_df = eval_df.select(
-    pl.col("pretrained_model").alias("Model"),
-    (pl.col("peak_rss") / 1024).round().cast(pl.UInt32).alias("Memory (MiB)"),
-    pl.col("exec_time_ms").round(2).alias("Execution Time (ms)"),
-    pl.col("language").alias("Language"),
-    pl.col("recall").round(2).alias("Recall (%)"),
-    pl.when(pl.col("is_pareto")).then(pl.lit("✅")).otherwise(pl.lit("❌")).alias("Pareto Optimal"),
-)
-
-
-for language in languages:
-    lang_df = eval_df.filter(pl.col("Language") == language).drop("Language")
-    if lang_df.shape[0] == 0:
-        continue
-    print(collapsed_table(languages[language], lang_df))
--- a/machine-learning/export/immich_model_exporter/run.py
+++ b/machine-learning/export/immich_model_exporter/run.py
@@ -1,171 +0,0 @@
-import subprocess
-from pathlib import Path
-
-from exporters.constants import ModelSource
-
-from immich_model_exporter import clean_name
-from immich_model_exporter.exporters.constants import SOURCE_TO_TASK
-
-mclip = [
-    "M-CLIP/LABSE-Vit-L-14",
-    "M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
-    "M-CLIP/XLM-Roberta-Large-Vit-B-32",
-    "M-CLIP/XLM-Roberta-Large-Vit-L-14",
-]
-
-openclip = [
-    "RN101__openai",
-    "RN101__yfcc15m",
-    "RN50__cc12m",
-    "RN50__openai",
-    "RN50__yfcc15m",
-    "RN50x16__openai",
-    "RN50x4__openai",
-    "RN50x64__openai",
-    "ViT-B-16-SigLIP-256__webli",
-    "ViT-B-16-SigLIP-384__webli",
-    "ViT-B-16-SigLIP-512__webli",
-    "ViT-B-16-SigLIP-i18n-256__webli",
-    "ViT-B-16-SigLIP2__webli",
-    "ViT-B-16-SigLIP__webli",
-    "ViT-B-16-plus-240__laion400m_e31",
-    "ViT-B-16-plus-240__laion400m_e32",
-    "ViT-B-16__laion400m_e31",
-    "ViT-B-16__laion400m_e32",
-    "ViT-B-16__openai",
-    "ViT-B-32-SigLIP2-256__webli",
-    "ViT-B-32__laion2b-s34b-b79k",
-    "ViT-B-32__laion2b_e16",
-    "ViT-B-32__laion400m_e31",
-    "ViT-B-32__laion400m_e32",
-    "ViT-B-32__openai",
-    "ViT-H-14-378-quickgelu__dfn5b",
-    "ViT-H-14-quickgelu__dfn5b",
-    "ViT-H-14__laion2b-s32b-b79k",
-    "ViT-L-14-336__openai",
-    "ViT-L-14-quickgelu__dfn2b",
-    "ViT-L-14__laion2b-s32b-b82k",
-    "ViT-L-14__laion400m_e31",
-    "ViT-L-14__laion400m_e32",
-    "ViT-L-14__openai",
-    "ViT-L-16-SigLIP-256__webli",
-    "ViT-L-16-SigLIP-384__webli",
-    "ViT-L-16-SigLIP2-256__webli",
-    "ViT-L-16-SigLIP2-384__webli",
-    "ViT-L-16-SigLIP2-512__webli",
-    "ViT-SO400M-14-SigLIP-384__webli",
-    "ViT-SO400M-14-SigLIP2-378__webli",
-    "ViT-SO400M-14-SigLIP2__webli",
-    "ViT-SO400M-16-SigLIP2-256__webli",
-    "ViT-SO400M-16-SigLIP2-384__webli",
-    "ViT-SO400M-16-SigLIP2-512__webli",
-    "ViT-gopt-16-SigLIP2-256__webli",
-    "ViT-gopt-16-SigLIP2-384__webli",
-    "nllb-clip-base-siglip__mrl",
-    "nllb-clip-base-siglip__v1",
-    "nllb-clip-large-siglip__mrl",
-    "nllb-clip-large-siglip__v1",
-    "xlm-roberta-base-ViT-B-32__laion5b_s13b_b90k",
-    "xlm-roberta-large-ViT-H-14__frozen_laion5b_s13b_b90k",
-]
-
-insightface = [
-    "antelopev2",
-    "buffalo_l",
-    "buffalo_m",
-    "buffalo_s",
-]
-
-
-def export_models(models: list[str], source: ModelSource) -> None:
-    profiling_dir = Path("profiling")
-    profiling_dir.mkdir(exist_ok=True)
-    for model in models:
-        try:
-            model_dir = f"models/{clean_name(model)}"
-            task = SOURCE_TO_TASK[source]
-
-            print(f"Processing model {model}")
-            subprocess.check_call(["python", "-m", "immich_model_exporter", "export", model, source])
-            subprocess.check_call(
-                [
-                    "python",
-                    "-m",
-                    "immich_model_exporter",
-                    "profile",
-                    model_dir,
-                    task,
-                    "--output_path",
-                    profiling_dir / f"{model}.json",
-                ]
-            )
-            subprocess.check_call(["python", "-m", "immich_model_exporter", "upload", model_dir])
-        except Exception as e:
-            print(f"Failed to export model {model}: {e}")
-
-
-if __name__ == "__main__":
-    export_models(mclip, ModelSource.MCLIP)
-    export_models(openclip, ModelSource.OPENCLIP)
-    export_models(insightface, ModelSource.INSIGHTFACE)
-
-    Path("results").mkdir(exist_ok=True)
-    subprocess.check_call(
-        [
-            "python",
-            "clip_benchmark",
-            "eval",
-            "--pretrained_model",
-            *[name.replace("__", ",") for name in openclip],
-            "--task",
-            "zeroshot_retrieval",
-            "--dataset",
-            "crossmodal3600",
-            "--batch_size",
-            "64",
-            "--language",
-            "ar",
-            "bn",
-            "cs",
-            "da",
-            "de",
-            "el",
-            "en",
-            "es",
-            "fa",
-            "fi",
-            "fil",
-            "fr",
-            "he",
-            "hi",
-            "hr",
-            "hu",
-            "id",
-            "it",
-            "ja",
-            "ko",
-            "mi",
-            "nl",
-            "no",
-            "pl",
-            "pt",
-            "quz",
-            "ro",
-            "ru",
-            "sv",
-            "sw",
-            "te",
-            "th",
-            "tr",
-            "uk",
-            "vi",
-            "zh",
-            "--recall_k",
-            "1",
-            "5",
-            "10",
-            "--no_amp",
-            "--output",
-            "results/{dataset}_{language}_{model}_{pretrained}.json",
-        ]
-    )
--- a/machine-learning/export/pyproject.toml
+++ b/machine-learning/export/pyproject.toml
@@ -1,60 +0,0 @@
-[project]
-name = "immich_model_exporter"
-version = "0.1.0"
-description = "Add your description here"
-readme = "README.md"
-requires-python = ">=3.10, <4.0"
-dependencies = [
-  "huggingface-hub>=0.29.3",
-  "multilingual-clip>=1.0.10",
-  "onnx>=1.14.1",
-  "onnxruntime>=1.16.0",
-  "open-clip-torch>=2.31.0",
-  "typer>=0.15.2",
-  "rknn-toolkit2>=2.3.0",
-  "transformers>=4.49.0",
-  "tenacity>=9.0.0",
-  "clip-benchmark>=1.6.1",
-  "polars>=1.25.2",
-]
-
-[dependency-groups]
-dev = ["black>=23.3.0", "mypy>=1.3.0", "ruff>=0.0.272"]
-
-[tool.uv]
-override-dependencies = [
-  "onnx>=1.16.0,<2",
-  "onnxruntime>=1.18.2,<2",
-  "torch>=2.4",
-  "torchvision>=0.21",
-]
-
-[tool.hatch.build.targets.sdist]
-include = ["immich_model_exporter"]
-
-[tool.hatch.build.targets.wheel]
-include = ["immich_model_exporter"]
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.mypy]
-python_version = "3.12"
-follow_imports = "silent"
-warn_redundant_casts = true
-disallow_any_generics = true
-check_untyped_defs = true
-disallow_untyped_defs = true
-ignore_missing_imports = true
-
-[tool.ruff]
-line-length = 120
-target-version = "py312"
-
-[tool.ruff.lint]
-select = ["E", "F", "I"]
-
-[tool.black]
-line-length = 120
-target-version = ['py312']
--- a/machine-learning/export/uv.lock
+++ b/machine-learning/export/uv.lock
--- a/machine-learning/immich_ml/init.py
+++ b/machine-learning/immich_ml/init.py
--- a/machine-learning/immich_ml/main.py
+++ b/machine-learning/immich_ml/main.py
@@ -0,0 +1,43 @@
+import os
+import signal
+import subprocess
+from pathlib import Path
+
+from .config import log, non_prefixed_settings, settings
+
+if source_ref := os.getenv("IMMICH_SOURCE_REF"):
+    log.info(f"Initializing Immich ML [{source_ref}]")
+else:
+    log.info("Initializing Immich ML")
+
+module_dir = Path(__file__).parent
+
+try:
+    with subprocess.Popen(
+        [
+            "python",
+            "-m",
+            "gunicorn",
+            "immich_ml.main:app",
+            "-k",
+            "immich_ml.config.CustomUvicornWorker",
+            "-c",
+            module_dir / "gunicorn_conf.py",
+            "-b",
+            f"{non_prefixed_settings.immich_host}:{non_prefixed_settings.immich_port}",
+            "-w",
+            str(settings.workers),
+            "-t",
+            str(settings.worker_timeout),
+            "--log-config-json",
+            module_dir / "log_conf.json",
+            "--keep-alive",
+            str(settings.http_keepalive_timeout_s),
+            "--graceful-timeout",
+            "10",
+        ],
+    ) as cmd:
+        cmd.wait()
+except KeyboardInterrupt:
+    cmd.send_signal(signal.SIGINT)
+exit(cmd.returncode)
--- a/machine-learning/immich_ml/config.py
+++ b/machine-learning/immich_ml/config.py
@@ -51,12 +51,12 @@ class Settings(BaseSettings):
        protected_namespaces=("settings_",),
    )

-    cache_folder: Path = Path("/cache")
+    cache_folder: Path = (Path.home() / ".cache" / "immich_ml").resolve()
    model_ttl: int = 300
    model_ttl_poll_s: int = 10
-    host: str = "0.0.0.0"
-    port: int = 3003
    workers: int = 1
+    worker_timeout: int = 300
+    http_keepalive_timeout_s: int = 2
    test_full: bool = False
    request_threads: int = os.cpu_count() or 4
    model_inter_op_threads: int = 0
@@ -74,9 +74,11 @@ class Settings(BaseSettings):
        return os.environ.get("MACHINE_LEARNING_DEVICE_ID", "0")


-class LogSettings(BaseSettings):
+class NonPrefixedSettings(BaseSettings):
    model_config = SettingsConfigDict(case_sensitive=False)

+    immich_host: str = "[::]"
+    immich_port: int = 3003
    immich_log_level: str = "info"
    no_color: bool = False

@@ -100,14 +102,14 @@ LOG_LEVELS: dict[str, int] = {
 }

 settings = Settings()
-log_settings = LogSettings()
+non_prefixed_settings = NonPrefixedSettings()

-LOG_LEVEL = LOG_LEVELS.get(log_settings.immich_log_level.lower(), logging.INFO)
+LOG_LEVEL = LOG_LEVELS.get(non_prefixed_settings.immich_log_level.lower(), logging.INFO)


 class CustomRichHandler(RichHandler):
    def __init__(self) -> None:
-        console = Console(color_system="standard", no_color=log_settings.no_color)
+        console = Console(color_system="standard", no_color=non_prefixed_settings.no_color)
        self.excluded = ["uvicorn", "starlette", "fastapi"]
        super().__init__(
            show_path=False,
--- a/machine-learning/immich_ml/gunicorn_conf.py
+++ b/machine-learning/immich_ml/gunicorn_conf.py
--- a/machine-learning/immich_ml/log_conf.json
+++ b/machine-learning/immich_ml/log_conf.json
@@ -0,0 +1,21 @@
+{
+  "version": 1,
+  "disable_existing_loggers": false,
+  "handlers": {
+    "console": {
+      "class": "immich_ml.config.CustomRichHandler"
+    }
+  },
+  "loggers": {
+    "gunicorn.error": {
+      "handlers": [
+        "console"
+      ]
+    }
+  },
+  "root": {
+    "handlers": [
+      "console"
+    ]
+  }
+}
--- a/machine-learning/immich_ml/main.py
+++ b/machine-learning/immich_ml/main.py
@@ -18,9 +18,9 @@ from PIL.Image import Image
 from pydantic import ValidationError
 from starlette.formparsers import MultiPartParser

-from app.models import get_model_deps
-from app.models.base import InferenceModel
-from app.models.transforms import decode_pil
+from immich_ml.models import get_model_deps
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.transforms import decode_pil

 from .config import PreloadModelData, log, settings
 from .models.cache import ModelCache
--- a/machine-learning/immich_ml/models/init.py
+++ b/machine-learning/immich_ml/models/init.py
@@ -1,9 +1,9 @@
 from typing import Any

-from app.models.base import InferenceModel
-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.models.clip.visual import OpenClipVisualEncoder
-from app.schemas import ModelSource, ModelTask, ModelType
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
+from immich_ml.models.clip.visual import OpenClipVisualEncoder
+from immich_ml.schemas import ModelSource, ModelTask, ModelType

 from .constants import get_model_source
 from .facial_recognition.detection import FaceDetector
--- a/machine-learning/immich_ml/models/base.py
+++ b/machine-learning/immich_ml/models/base.py
@@ -7,9 +7,9 @@ from typing import Any, ClassVar

 from huggingface_hub import snapshot_download

-import ann.ann
-import app.sessions.rknn as rknn
-from app.sessions.ort import OrtSession
+import immich_ml.sessions.ann.loader
+import immich_ml.sessions.rknn as rknn
+from immich_ml.sessions.ort import OrtSession

 from ..config import clean_name, log, settings
 from ..schemas import ModelFormat, ModelIdentity, ModelSession, ModelTask, ModelType
@@ -171,7 +171,7 @@ class InferenceModel(ABC):
    def _model_format_default(self) -> ModelFormat:
        if rknn.is_available:
            return ModelFormat.RKNN
-        elif ann.ann.is_available and settings.ann:
+        elif immich_ml.sessions.ann.loader.is_available and settings.ann:
            return ModelFormat.ARMNN
        else:
            return ModelFormat.ONNX
--- a/machine-learning/immich_ml/models/cache.py
+++ b/machine-learning/immich_ml/models/cache.py
@@ -4,8 +4,8 @@ from aiocache.backends.memory import SimpleMemoryCache
 from aiocache.lock import OptimisticLock
 from aiocache.plugins import TimingPlugin

-from app.models import from_model_type
-from app.models.base import InferenceModel
+from immich_ml.models import from_model_type
+from immich_ml.models.base import InferenceModel

 from ..schemas import ModelTask, ModelType, has_profiling

--- a/machine-learning/immich_ml/models/clip/textual.py
+++ b/machine-learning/immich_ml/models/clip/textual.py
@@ -8,10 +8,10 @@ import numpy as np
 from numpy.typing import NDArray
 from tokenizers import Encoding, Tokenizer

-from app.config import log
-from app.models.base import InferenceModel
-from app.models.transforms import clean_text, serialize_np_array
-from app.schemas import ModelSession, ModelTask, ModelType
+from immich_ml.config import log
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.transforms import clean_text, serialize_np_array
+from immich_ml.schemas import ModelSession, ModelTask, ModelType


 class BaseCLIPTextualEncoder(InferenceModel):
--- a/machine-learning/immich_ml/models/clip/visual.py
+++ b/machine-learning/immich_ml/models/clip/visual.py
@@ -8,9 +8,9 @@ import numpy as np
 from numpy.typing import NDArray
 from PIL import Image

-from app.config import log
-from app.models.base import InferenceModel
-from app.models.transforms import (
+from immich_ml.config import log
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.transforms import (
    crop_pil,
    decode_pil,
    get_pil_resampling,
@@ -19,7 +19,7 @@ from app.models.transforms import (
    serialize_np_array,
    to_numpy,
 )
-from app.schemas import ModelSession, ModelTask, ModelType
+from immich_ml.schemas import ModelSession, ModelTask, ModelType


 class BaseCLIPVisualEncoder(InferenceModel):
--- a/machine-learning/immich_ml/models/constants.py
+++ b/machine-learning/immich_ml/models/constants.py
@@ -1,5 +1,5 @@
-from app.config import clean_name
-from app.schemas import ModelSource
+from immich_ml.config import clean_name
+from immich_ml.schemas import ModelSource

 _OPENCLIP_MODELS = {
    "RN101__openai",
--- a/machine-learning/immich_ml/models/facial_recognition/detection.py
+++ b/machine-learning/immich_ml/models/facial_recognition/detection.py
@@ -4,9 +4,9 @@ import numpy as np
 from insightface.model_zoo import RetinaFace
 from numpy.typing import NDArray

-from app.models.base import InferenceModel
-from app.models.transforms import decode_cv2
-from app.schemas import FaceDetectionOutput, ModelSession, ModelTask, ModelType
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.transforms import decode_cv2
+from immich_ml.schemas import FaceDetectionOutput, ModelSession, ModelTask, ModelType


 class FaceDetector(InferenceModel):
--- a/machine-learning/immich_ml/models/facial_recognition/recognition.py
+++ b/machine-learning/immich_ml/models/facial_recognition/recognition.py
@@ -10,10 +10,17 @@ from numpy.typing import NDArray
 from onnx.tools.update_model_dims import update_inputs_outputs_dims
 from PIL import Image

-from app.config import log, settings
-from app.models.base import InferenceModel
-from app.models.transforms import decode_cv2, serialize_np_array
-from app.schemas import FaceDetectionOutput, FacialRecognitionOutput, ModelFormat, ModelSession, ModelTask, ModelType
+from immich_ml.config import log, settings
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.transforms import decode_cv2, serialize_np_array
+from immich_ml.schemas import (
+    FaceDetectionOutput,
+    FacialRecognitionOutput,
+    ModelFormat,
+    ModelSession,
+    ModelTask,
+    ModelType,
+)


 class FaceRecognizer(InferenceModel):
--- a/machine-learning/immich_ml/models/transforms.py
+++ b/machine-learning/immich_ml/models/transforms.py
--- a/machine-learning/immich_ml/schemas.py
+++ b/machine-learning/immich_ml/schemas.py
--- a/machine-learning/immich_ml/sessions/init.py
+++ b/machine-learning/immich_ml/sessions/init.py
--- a/machine-learning/immich_ml/sessions/ann/init.py
+++ b/machine-learning/immich_ml/sessions/ann/init.py
@@ -6,10 +6,10 @@ from typing import Any, NamedTuple
 import numpy as np
 from numpy.typing import NDArray

-from ann.ann import Ann
-from app.schemas import SessionNode
+from immich_ml.config import log, settings
+from immich_ml.schemas import SessionNode

-from ..config import log, settings
+from .loader import Ann


 class AnnSession:
--- a/machine-learning/immich_ml/sessions/ann/loader.py
+++ b/machine-learning/immich_ml/sessions/ann/loader.py
@@ -7,7 +7,7 @@ from typing import Any, Protocol, TypeVar
 import numpy as np
 from numpy.typing import NDArray

-from app.config import log
+from immich_ml.config import log

 try:
    CDLL("libmali.so")  # fail if libmali.so is not mounted into container
--- a/machine-learning/immich_ml/sessions/ort.py
+++ b/machine-learning/immich_ml/sessions/ort.py
@@ -7,8 +7,8 @@ import numpy as np
 import onnxruntime as ort
 from numpy.typing import NDArray

-from app.models.constants import SUPPORTED_PROVIDERS
-from app.schemas import SessionNode
+from immich_ml.models.constants import SUPPORTED_PROVIDERS
+from immich_ml.schemas import SessionNode

 from ..config import log, settings

--- a/machine-learning/immich_ml/sessions/rknn/init.py
+++ b/machine-learning/immich_ml/sessions/rknn/init.py
@@ -6,8 +6,8 @@ from typing import Any, NamedTuple
 import numpy as np
 from numpy.typing import NDArray

-from app.config import log, settings
-from app.schemas import SessionNode
+from immich_ml.config import log, settings
+from immich_ml.schemas import SessionNode

 from .rknnpool import RknnPoolExecutor, is_available, soc_name

--- a/machine-learning/immich_ml/sessions/rknn/rknnpool.py
+++ b/machine-learning/immich_ml/sessions/rknn/rknnpool.py
@@ -10,8 +10,8 @@ from typing import Callable
 import numpy as np
 from numpy.typing import NDArray

-from app.config import log
-from app.models.constants import RKNN_COREMASK_SUPPORTED_SOCS, RKNN_SUPPORTED_SOCS
+from immich_ml.config import log
+from immich_ml.models.constants import RKNN_COREMASK_SUPPORTED_SOCS, RKNN_SUPPORTED_SOCS


 def get_soc(device_tree_path: Path | str) -> str | None:
--- a/machine-learning/log_conf.json
+++ b/machine-learning/log_conf.json
@@ -1,15 +0,0 @@
-{
-  "version": 1,
-  "disable_existing_loggers": false,
-  "handlers": {
-    "console": {
-      "class": "app.config.CustomRichHandler"
-    }
-  },
-  "loggers": {
-    "gunicorn.error": {
-      "handlers": ["console"]
-    }
-  },
-  "root": { "handlers": ["console"] }
-}
--- a/machine-learning/pyproject.toml
+++ b/machine-learning/pyproject.toml
@@ -1,5 +1,5 @@
 [project]
-name = "machine-learning"
+name = "immich-ml"
 version = "1.129.0"
 description = ""
 authors = [{ name = "Hau Tran", email = "alex.tran1502@gmail.com" }]
@@ -66,10 +66,10 @@ explicit = true
 onnxruntime-gpu = { index = "cuda12" }

 [tool.hatch.build.targets.sdist]
-include = ["app"]
+include = ["immich_ml"]

 [tool.hatch.build.targets.wheel]
-include = ["app"]
+include = ["immich_ml"]

 [build-system]
 requires = ["hatchling"]
--- a/machine-learning/scripts/healthcheck.py
+++ b/machine-learning/scripts/healthcheck.py
--- a/machine-learning/start.sh
+++ b/machine-learning/start.sh
@@ -1,31 +0,0 @@
-#!/usr/bin/env sh
-
-echo "Initializing Immich ML $IMMICH_SOURCE_REF"
-
-if ! [ "$DEVICE" = "openvino" ]; then
-	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=120}"
-else
-	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=300}"
-fi
-
-# mimalloc seems to increase memory usage dramatically with openvino, need to investigate
-if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then
-	lib_path="/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2"
-	export LD_PRELOAD="$lib_path"
-	export LD_BIND_NOW=1
-fi
-
-: "${IMMICH_HOST:=[::]}"
-: "${IMMICH_PORT:=3003}"
-: "${MACHINE_LEARNING_WORKERS:=1}"
-: "${MACHINE_LEARNING_HTTP_KEEPALIVE_TIMEOUT_S:=2}"
-
-gunicorn app.main:app \
-	-k app.config.CustomUvicornWorker \
-	-c gunicorn_conf.py \
-	-b "$IMMICH_HOST":"$IMMICH_PORT" \
-	-w "$MACHINE_LEARNING_WORKERS" \
-	-t "$MACHINE_LEARNING_WORKER_TIMEOUT" \
-	--log-config-json log_conf.json \
-	--keep-alive "$MACHINE_LEARNING_HTTP_KEEPALIVE_TIMEOUT_S" \
-	--graceful-timeout 0
--- a/machine-learning/app/test_main.py
+++ b/machine-learning/app/test_main.py
@@ -18,19 +18,18 @@ from PIL import Image
 from pytest import MonkeyPatch
 from pytest_mock import MockerFixture

-from app.main import load, preload_models
-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.models.clip.visual import OpenClipVisualEncoder
-from app.models.facial_recognition.detection import FaceDetector
-from app.models.facial_recognition.recognition import FaceRecognizer
-from app.sessions.ann import AnnSession
-from app.sessions.ort import OrtSession
-from app.sessions.rknn import RknnSession, run_inference
-
-from .config import Settings, settings
-from .models.base import InferenceModel
-from .models.cache import ModelCache
-from .schemas import ModelFormat, ModelTask, ModelType
+from immich_ml.config import Settings, settings
+from immich_ml.main import load, preload_models
+from immich_ml.models.base import InferenceModel
+from immich_ml.models.cache import ModelCache
+from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
+from immich_ml.models.clip.visual import OpenClipVisualEncoder
+from immich_ml.models.facial_recognition.detection import FaceDetector
+from immich_ml.models.facial_recognition.recognition import FaceRecognizer
+from immich_ml.schemas import ModelFormat, ModelTask, ModelType
+from immich_ml.sessions.ann import AnnSession
+from immich_ml.sessions.ort import OrtSession
+from immich_ml.sessions.rknn import RknnSession, run_inference


 class TestBase:
@@ -47,7 +46,7 @@ class TestBase:

    def test_sets_default_model_format(self, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "ann", True)
-        mocker.patch("ann.ann.is_available", False)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", False)

        encoder = OpenClipTextualEncoder("ViT-B-32__openai")

@@ -55,7 +54,7 @@ class TestBase:

    def test_sets_default_model_format_to_armnn_if_available(self, path: mock.Mock, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "ann", True)
-        mocker.patch("ann.ann.is_available", True)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", True)
        path.suffix = ".armnn"

        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=path)
@@ -64,7 +63,7 @@ class TestBase:

    def test_sets_model_format_kwarg(self, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "ann", False)
-        mocker.patch("ann.ann.is_available", False)
+        mocker.patch("immich_ml.sessions.ann.loader.is_available", False)

        encoder = OpenClipTextualEncoder("ViT-B-32__openai", model_format=ModelFormat.ARMNN)

@@ -72,7 +71,7 @@ class TestBase:

    def test_sets_default_model_format_to_rknn_if_available(self, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "rknn", True)
-        mocker.patch("app.sessions.rknn.is_available", True)
+        mocker.patch("immich_ml.sessions.rknn.is_available", True)

        encoder = OpenClipTextualEncoder("ViT-B-32__openai")

@@ -294,7 +293,7 @@ class TestOrtSession:
        assert session.sess_options.intra_op_num_threads == 0

    def test_sets_default_sess_options_sets_threads_if_non_cpu_and_set_threads(self, mocker: MockerFixture) -> None:
-        mock_settings = mocker.patch("app.sessions.ort.settings", autospec=True)
+        mock_settings = mocker.patch("immich_ml.sessions.ort.settings", autospec=True)
        mock_settings.model_inter_op_threads = 2
        mock_settings.model_intra_op_threads = 4

@@ -373,8 +372,8 @@ class TestRknnSession:
    def test_creates_rknn_session(self, rknn_session: mock.Mock, info: mock.Mock, mocker: MockerFixture) -> None:
        model_path = mock.MagicMock(spec=Path)
        tpe = 1
-        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
-        mocker.patch("app.sessions.rknn.is_available", True)
+        mocker.patch("immich_ml.sessions.rknn.soc_name", "rk3566")
+        mocker.patch("immich_ml.sessions.rknn.is_available", True)
        RknnSession(model_path)

        rknn_session.assert_called_once_with(model_path=model_path.as_posix(), tpes=tpe, func=run_inference)
@@ -384,7 +383,7 @@ class TestRknnSession:
    def test_run_rknn(self, rknn_session: mock.Mock, mocker: MockerFixture) -> None:
        rknn_session.return_value.load.return_value = 123
        np_spy = mocker.spy(np, "ascontiguousarray")
-        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
+        mocker.patch("immich_ml.sessions.rknn.soc_name", "rk3566")
        session = RknnSession(Path("ViT-B-32__openai"))
        [input1, input2] = [np.random.rand(1, 3, 224, 224).astype(np.float32) for _ in range(2)]
        input_feed = {"input.1": input1, "input.2": input2}
@@ -434,7 +433,7 @@ class TestCLIP:

        mocked = mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
        mocked.run.return_value = [[self.embedding]]
-        mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True)
+        mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True)

        clip_encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir="test_cache")
        embedding_str = clip_encoder.predict("test search query")
@@ -454,7 +453,7 @@ class TestCLIP:
        mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
        mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
        mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
        mock_ids = [randint(0, 50000) for _ in range(77)]
        mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids)

@@ -480,7 +479,7 @@ class TestCLIP:
        mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
        mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
        mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
        mock_ids = [randint(0, 50000) for _ in range(77)]
        mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids)

@@ -505,7 +504,7 @@ class TestCLIP:
        mocker.patch.object(MClipTextualEncoder, "model_cfg", clip_model_cfg)
        mocker.patch.object(MClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
        mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
-        mock_tokenizer = mocker.patch("app.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
+        mock_tokenizer = mocker.patch("immich_ml.models.clip.textual.Tokenizer.from_file", autospec=True).return_value
        mock_ids = [randint(0, 50000) for _ in range(77)]
        mock_attention_mask = [randint(0, 1) for _ in range(77)]
        mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids, attention_mask=mock_attention_mask)
@@ -597,12 +596,12 @@ class TestFaceRecognition:
    def test_recognition_adds_batch_axis_for_ort(
        self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
    ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
        update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
        )
-        mocker.patch("app.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
        ort_session.return_value.get_inputs.return_value = [SimpleNamespace(name="input.1", shape=(1, 3, 224, 224))]
        ort_session.return_value.get_outputs.return_value = [SimpleNamespace(name="output.1", shape=(1, 800))]
        path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"
@@ -631,12 +630,12 @@ class TestFaceRecognition:
    def test_recognition_does_not_add_batch_axis_if_exists(
        self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
    ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
        update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
        )
-        mocker.patch("app.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
        path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"

        inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -655,12 +654,12 @@ class TestFaceRecognition:
    def test_recognition_does_not_add_batch_axis_for_armnn(
        self, ann_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
    ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
        update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
        )
-        mocker.patch("app.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
        path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".armnn"

        inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -679,12 +678,12 @@ class TestFaceRecognition:
    def test_recognition_does_not_add_batch_axis_for_openvino(
        self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture
    ) -> None:
-        onnx = mocker.patch("app.models.facial_recognition.recognition.onnx", autospec=True)
+        onnx = mocker.patch("immich_ml.models.facial_recognition.recognition.onnx", autospec=True)
        update_dims = mocker.patch(
-            "app.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
+            "immich_ml.models.facial_recognition.recognition.update_inputs_outputs_dims", autospec=True
        )
-        mocker.patch("app.models.base.InferenceModel.download")
-        mocker.patch("app.models.facial_recognition.recognition.ArcFaceONNX")
+        mocker.patch("immich_ml.models.base.InferenceModel.download")
+        mocker.patch("immich_ml.models.facial_recognition.recognition.ArcFaceONNX")
        path.return_value.__truediv__.return_value.__truediv__.return_value.suffix = ".onnx"

        inputs = [SimpleNamespace(name="input.1", shape=("batch", 3, 224, 224))]
@@ -733,13 +732,13 @@ class TestCache:
        )
        assert len(model_cache.cache._cache) == 2

-    @mock.patch("app.models.cache.OptimisticLock", autospec=True)
+    @mock.patch("immich_ml.models.cache.OptimisticLock", autospec=True)
    async def test_model_ttl(self, mock_lock_cls: mock.Mock, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache()
        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
        mock_lock_cls.return_value.__aenter__.return_value.cas.assert_called_with(mock.ANY, ttl=100)

-    @mock.patch("app.models.cache.SimpleMemoryCache.expire")
+    @mock.patch("immich_ml.models.cache.SimpleMemoryCache.expire")
    async def test_revalidate_get(self, mock_cache_expire: mock.Mock, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache(revalidate=True)
        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
@@ -784,7 +783,7 @@ class TestCache:
        assert settings.preload.clip.visual == "ViT-B-32__openai"

        model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)

        await preload_models(settings.preload)
        mock_get_model.assert_has_calls(
@@ -807,7 +806,7 @@ class TestCache:
        assert settings.preload.facial_recognition.recognition == "buffalo_s"

        model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)

        await preload_models(settings.preload)
        mock_get_model.assert_has_calls(
@@ -832,7 +831,7 @@ class TestCache:
        assert settings.preload.facial_recognition.detection == "buffalo_s"

        model_cache = ModelCache()
-        monkeypatch.setattr("app.main.model_cache", model_cache)
+        monkeypatch.setattr("immich_ml.main.model_cache", model_cache)

        await preload_models(settings.preload)
        mock_get_model.assert_has_calls(
--- a/machine-learning/uv.lock
+++ b/machine-learning/uv.lock
@@ -927,155 +927,7 @@ wheels = [
 ]

 [[package]]
-name = "iniconfig"
-version = "2.0.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d7/4b/cbd8e699e64a6f16ca3a8220661b5f83792b3017d0f79807cb8708d33913/iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3", size = 4646 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374", size = 5892 },
-]
-
-[[package]]
-name = "insightface"
-version = "0.7.3"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "albumentations" },
-    { name = "cython" },
-    { name = "easydict" },
-    { name = "matplotlib" },
-    { name = "numpy" },
-    { name = "onnx" },
-    { name = "pillow" },
-    { name = "prettytable" },
-    { name = "requests" },
-    { name = "scikit-image" },
-    { name = "scikit-learn" },
-    { name = "scipy" },
-    { name = "tqdm" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/0b/8d/0f4af90999ca96cf8cb846eb5ae27c5ef5b390f9c090dd19e4fa76364c13/insightface-0.7.3.tar.gz", hash = "sha256:f191f719612ebb37018f41936814500544cd0f86e6fcd676c023f354c668ddf7", size = 439490 }
-
-[[package]]
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-
-[[package]]
-name = "jinja2"
-version = "3.1.4"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "markupsafe" },
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+    { name = "pyzmq" },
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+    { name = "setuptools" },
+    { name = "tomli", marker = "python_full_version < '3.11'" },
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 name = "markdown-it-py"
 version = "3.0.0"
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 [[package]]
@@ -2477,11 +2477,11 @@ wheels = [

 [[package]]
 name = "types-simplejson"
-version = "3.20.0.20250218"
+version = "3.20.0.20250318"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/2a/b0/a2e4a46af6b4822b1a281b9ddcaba2451f7ceec0b114b09b1ee9d45ae90b/types_simplejson-3.20.0.20250218.tar.gz", hash = "sha256:5c5c46f67690f211d628d5182546b43ea9ff03936efd759549ac1795b213e3e7", size = 9824 }
+sdist = { url = "https://files.pythonhosted.org/packages/b7/bb/c19c0863ce03b950a2e6319e668a3e3f51c977368d6a1da529893e794162/types_simplejson-3.20.0.20250318.tar.gz", hash = "sha256:5ada2caa2f76826a90b97985f7b0caf55088a23ed4eb9c39fc1f5cb00b985e09", size = 9966 }
 wheels = [
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 [[package]]
--- a/mobile/android/fastlane/Fastfile
+++ b/mobile/android/fastlane/Fastfile
@@ -35,8 +35,8 @@ platform :android do
      task: 'bundle', 
      build_type: 'Release',
      properties: {
-        "android.injected.version.code" => 188,
-        "android.injected.version.name" => "1.130.0",
+        "android.injected.version.code" => 191,
+        "android.injected.version.name" => "1.130.3",
      }
    )
    upload_to_play_store(skip_upload_apk: true, skip_upload_images: true, skip_upload_screenshots: true, aab: '../build/app/outputs/bundle/release/app-release.aab')
--- a/mobile/ios/Runner.xcodeproj/project.pbxproj
+++ b/mobile/ios/Runner.xcodeproj/project.pbxproj
@@ -541,7 +541,7 @@
 				CODE_SIGN_ENTITLEMENTS = Runner/RunnerProfile.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
@@ -685,7 +685,7 @@
 				CODE_SIGN_ENTITLEMENTS = Runner/Runner.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
@@ -715,7 +715,7 @@
 				CODE_SIGN_ENTITLEMENTS = Runner/Runner.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
@@ -748,7 +748,7 @@
 				CODE_SIGN_ENTITLEMENTS = ShareExtension/ShareExtension.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_USER_SCRIPT_SANDBOXING = YES;
@@ -791,7 +791,7 @@
 				CODE_SIGN_ENTITLEMENTS = ShareExtension/ShareExtension.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_USER_SCRIPT_SANDBOXING = YES;
@@ -831,7 +831,7 @@
 				CODE_SIGN_ENTITLEMENTS = ShareExtension/ShareExtension.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 197;
+				CURRENT_PROJECT_VERSION = 199;
 				CUSTOM_GROUP_ID = group.app.immich.share;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_USER_SCRIPT_SANDBOXING = YES;
--- a/mobile/ios/Runner/Info.plist
+++ b/mobile/ios/Runner/Info.plist
@@ -78,7 +78,7 @@
 	<key>CFBundlePackageType</key>
 	<string>APPL</string>
 	<key>CFBundleShortVersionString</key>
-	<string>1.129.0</string>
+	<string>1.130.3</string>
 	<key>CFBundleSignature</key>
 	<string>????</string>
 	<key>CFBundleURLTypes</key>
@@ -93,7 +93,7 @@
 		</dict>
 	</array>
 	<key>CFBundleVersion</key>
-	<string>197</string>
+	<string>199</string>
 	<key>FLTEnableImpeller</key>
 	<true/>
 	<key>ITSAppUsesNonExemptEncryption</key>
--- a/mobile/ios/fastlane/Fastfile
+++ b/mobile/ios/fastlane/Fastfile
@@ -19,7 +19,7 @@ platform :ios do
  desc "iOS Release"
  lane :release do
    increment_version_number(
-      version_number: "1.130.0"
+      version_number: "1.130.3"
    )
    increment_build_number(
      build_number: latest_testflight_build_number + 1,
--- a/mobile/lib/pages/common/gallery_viewer.page.dart
+++ b/mobile/lib/pages/common/gallery_viewer.page.dart
@@ -263,10 +263,6 @@ class GalleryViewerPage extends HookConsumerWidget {
    PhotoViewGalleryPageOptions buildAsset(BuildContext context, int index) {
      var newAsset = loadAsset(index);

-      WidgetsBinding.instance.addPostFrameCallback((_) {
-        ref.read(currentAssetProvider.notifier).set(newAsset);
-      });
-
      final stackId = newAsset.stackId;
      if (stackId != null && currentIndex.value == index) {
        final stackElements =
--- a/mobile/lib/pages/common/native_video_viewer.page.dart
+++ b/mobile/lib/pages/common/native_video_viewer.page.dart
@@ -44,6 +44,10 @@ class NativeVideoViewerPage extends HookConsumerWidget {
    final lastVideoPosition = useRef(-1);
    final isBuffering = useRef(false);

+    // Used to track whether the video should play when the app
+    // is brought back to the foreground
+    final shouldPlayOnForeground = useRef(true);
+
    // When a video is opened through the timeline, `isCurrent` will immediately be true.
    // When swiping from video A to video B, `isCurrent` will initially be true for video A and false for video B.
    // If the swipe is completed, `isCurrent` will be true for video B after a delay.
@@ -368,6 +372,20 @@ class NativeVideoViewerPage extends HookConsumerWidget {
      const [],
    );

+    useOnAppLifecycleStateChange((_, state) async {
+      if (state == AppLifecycleState.resumed && shouldPlayOnForeground.value) {
+        controller.value?.play();
+      } else if (state == AppLifecycleState.paused) {
+        final videoPlaying = await controller.value?.isPlaying();
+        if (videoPlaying ?? true) {
+          shouldPlayOnForeground.value = true;
+          controller.value?.pause();
+        } else {
+          shouldPlayOnForeground.value = false;
+        }
+      }
+    });
+
    return Stack(
      children: [
        // This remains under the video to avoid flickering
--- a/mobile/lib/services/asset.service.dart
+++ b/mobile/lib/services/asset.service.dart
@@ -1,5 +1,4 @@
 import 'dart:async';
-import 'dart:io';

 import 'package:collection/collection.dart';
 import 'package:flutter/material.dart';
@@ -389,10 +388,7 @@ class AssetService {
  }

  Future<double> getAspectRatio(Asset asset) async {
-    // platform_manager always returns 0 for orientation on iOS, so only prefer it on Android
-    if (asset.isLocal && Platform.isAndroid) {
-      await asset.localAsync;
-    } else if (asset.isRemote) {
+    if (asset.isRemote) {
      asset = await loadExif(asset);
    } else if (asset.isLocal) {
      await asset.localAsync;
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Alex Tran	39867906ce	fix(server): metadata extraction job on missing does not include file with missing nullable field	2025-03-29 21:07:29 -05:00
Jason Rasmussen	55a3c30664	feat: kysely migrations (#17198 )	2025-03-29 09:26:24 -04:00
renovate[bot]	6fa0cb534a	fix(deps): update dependency @opentelemetry/context-async-hooks to v2 (#17031 ) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>	2025-03-28 20:51:01 +01:00
Ben McCann	9f0dbfc150	chore(web): update to newer persisted store package name (#17094 )	2025-03-28 20:40:57 +01:00
Saschl	6419ac74af	fix: update renderlist after asset deleted (#16786 )	2025-03-28 18:34:19 +00:00
Yaros	d2bcf5d716	fix(mobile): pause background video play (#17032 ) * fix(mobile): prevent background video playback * fix: logic for tracking app state * chore: move lifecycle handler in separate file * chore: replace useState with useRef * chore: useOnAppLifecycleStateChange * fix: removed print statement	2025-03-28 10:32:25 -05:00
shenlong	c8331f111f	fix(mobile): prefer remote orientation (#17177 ) * fix(mobile): prefer remote orientation * pr feedback --------- Co-authored-by: shenlong-tanwen <139912620+shalong-tanwen@users.noreply.github.com>	2025-03-28 10:24:31 -05:00
Jason Rasmussen	4b4bcd23f4	feat: schema diff sql tools (#17116 )	2025-03-28 10:40:09 -04:00
Ben McCann	3fde5a8328	feat: map globe view, style hot reloading and load lag fixed (#17079 ) * chore: upgrade svelte-maplibre and enforce runes * feat: maplibre-gl 5, globe view, style hot reloading, fast map markers * fix: remove location-pin class that wasn't being used --------- Co-authored-by: Zack Pollard <zackpollard@ymail.com>	2025-03-28 14:08:54 +00:00
Joren Guillaume	cc3ea32cd2	docs: update folder support for app in README.md (#17191 ) Update folder support for app in README.md	2025-03-28 09:35:36 +00:00
Ben McCann	431cf281da	chore(web): update typescript-eslint (#17093 )	2025-03-28 00:04:31 -04:00
Alex	8f786fd7dd	fix(web): form reactivity (#17183 )	2025-03-27 19:58:49 -05:00
Alex	3e73765375	fix(web): don't show newly uploaded asset in inapplicable views (#17184 )	2025-03-27 19:45:50 -04:00
Alex	411521b21d	chore: post release tasks (#17179 )	2025-03-27 19:41:22 -04:00
renovate[bot]	e163808348	fix(deps): update typescript-projects (#17080 ) * fix(deps): update typescript-projects * fix: otel --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Daniel Dietzler <mail@ddietzler.dev>	2025-03-27 22:33:58 +00:00
Ben McCann	411772123f	chore(web): remove unused props (#17141 )	2025-03-27 23:12:14 +01:00
Mert	84c35e35d6	chore(ml): installable package (#17153 ) * app -> immich_ml * fix test ci * omit file name * add new line * add new line	2025-03-27 19:49:09 +00:00
Mert	f7d730eb05	chore(ml): remove exporter (#17182 ) * remove exporter code * update gha	2025-03-27 14:48:02 -04:00
Mert	16e0166d22	docs: evaluate models on xtd-10 and flickr30k (#17159 ) update docs	2025-03-27 11:30:51 -05:00
github-actions	43f8f473e9	chore: version v1.130.3	2025-03-27 15:54:30 +00:00
shenlong	cc393b2b7b	fix(mobile): oauth-mobile-first-login (#17173 ) invalidate ref Co-authored-by: Alex <alex.tran1502@gmail.com>	2025-03-27 15:49:55 +00:00
Alex	6341962de4	fix(web): better touch device detection (#17144 ) * fix(web): better touch device detection * variable name	2025-03-27 10:43:56 -05:00
Min Idzelis	c26b28f6a4	fix: bug with svelte gestures (#17154 ) * fix: bug with svelte gestures * lint	2025-03-27 08:51:52 -05:00
shenlong	c72c82c401	fix(mobile): faster device album refresh after initial sync (#17170 ) fix(mobile): faster device album refresh after fresh sync Co-authored-by: shenlong-tanwen <139912620+shalong-tanwen@users.noreply.github.com>	2025-03-27 08:47:05 -05:00
Alex	fecf3809a6	fix(server): album count does not account for assets without exif (#17150 ) * fix(server): album count doesn't accounted for assets without exif * sql	2025-03-26 21:24:22 -05:00
Mert	619bd72de9	docs: mention rknn among image options (#17156 ) mention rknn	2025-03-26 19:05:48 -04:00
Jason Rasmussen	fd4a5f71b5	fix: broken album page (#17149 )	2025-03-26 18:59:23 -04:00
github-actions	2f8725c66f	chore: version v1.130.2	2025-03-26 15:34:54 +00:00
Jonathan Jogenfors	9fbd6369b9	fix(server): check asset against multiple import paths (#17128 ) * fix sql logic * refactor: map import paths into not or sql statements --------- Co-authored-by: Zack Pollard <zackpollard@ymail.com>	2025-03-26 10:10:53 -05:00
Snowknight26	c547d849d9	fix(web): prevent comb box dropdowns from staying open when clicking on labels (#17119 ) fix(web): prevent combobox dropdowns from staying open when clicking on label	2025-03-26 08:58:00 -05:00
renovate[bot]	6ba94ac2f2	fix(deps): update machine-learning (#17078 ) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>	2025-03-26 02:04:41 +00:00
Alex	dfb0626c91	fix(web): default search to context (#17118 ) * fix(web): default search to context * one liner * Refactor	2025-03-25 17:57:12 -05:00
Alex	392ce7deb2	fix(web): albums display order again (#17117 )	2025-03-25 22:14:00 +00:00
Mert	75df8fc10e	refactor(server): bulk update exif (#17109 ) * bulk update exif * update sql * update tests * check job queeuing in test	2025-03-25 21:24:24 +00:00
github-actions	4cf7c55680	chore: version v1.130.1	2025-03-25 20:25:01 +00:00
Alex	b8ff93a3c9	chore: post release tasks (#17097 )	2025-03-25 21:22:30 +01:00
Alex	37eb70c1eb	fix(web): albums display order (#17106 ) * fix(web): albums display order * ergonomic * perf ergonomic * miss 1	2025-03-25 20:21:38 +00:00
renovate[bot]	aa4d6405f4	chore(deps): update base-image to v202503251114 (major) (#17085 ) * chore(deps): update base-image to v202503251114 * fix: geocoding changes --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Daniel Dietzler <mail@ddietzler.dev>	2025-03-25 20:15:02 +00:00
Alex	ae447542a4	fix(web): asset navigation (#17104 )	2025-03-25 15:00:30 -05:00
renovate[bot]	90f21d9047	chore(deps): pin dependencies (#17077 ) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>	2025-03-25 18:07:59 +00:00
renovate[bot]	567a92fe77	chore(deps): update dependency vite to v6.2.3 [security] (#17092 ) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>	2025-03-25 18:07:25 +00:00
Weblate (bot)	8d6f5a2da9	chore(web): update translations (#16807 ) Translate-URL: https://hosted.weblate.org/projects/immich/immich/af/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/cs/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/da/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/de/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/el/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/es/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/et/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/fr/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/he/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/hi/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/hu/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/id/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/it/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/lv/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/nb_NO/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/nl/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/pl/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/pt/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/pt_BR/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/ru/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/sk/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/sl/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/sr_Cyrl/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/sr_Latn/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/sv/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/te/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/th/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/uk/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/ur/ Translate-URL: https://hosted.weblate.org/projects/immich/immich/zh_SIMPLIFIED/ Translation: Immich/immich Co-authored-by: -J- <heyj0e@tuta.io> Co-authored-by: Agostino Pit <scheccia@gmail.com> Co-authored-by: Andreas Johansen <andreas@josern.com> Co-authored-by: Andreas Resch <weblate@resch.io> Co-authored-by: Basilis Pantelis <bpantelis10@gmail.com> Co-authored-by: Bezruchenko Simon <worcposj44@gmail.com> Co-authored-by: Bonov <bonov@mail.ru> Co-authored-by: C D <chinnidiwakar5@gmail.com> Co-authored-by: Dawider10 <dawider110@gmail.com> Co-authored-by: Denis Pacquier <denis.pacquier@gmail.com> Co-authored-by: Fjuro <fjuro@users.noreply.hosted.weblate.org> Co-authored-by: Focron <eliaelmas55@gmail.com> Co-authored-by: Hurricane-32 <rodrigorimo@hotmail.com> Co-authored-by: Indrek Haav <IndrekHaav@users.noreply.hosted.weblate.org> Co-authored-by: Jean-Philippe Jodoin <jpjodoin@gmail.com> Co-authored-by: Johan Ohly <johanohly@gmail.com> Co-authored-by: Jørgen Næss Berge <jorgen.n.berge@gmail.com> Co-authored-by: KecskeTech <teonyitas@gmail.com> Co-authored-by: Knud Bachmann Røn <knudbachmannron@proton.me> Co-authored-by: Leo Bottaro <github@leobottaro.com> Co-authored-by: Linerly <linerly@proton.me> Co-authored-by: MSDNicrosoft <wang3311835119@hotmail.com> Co-authored-by: Matjaž T <matjaz@moj-svet.si> Co-authored-by: Miki Mrvos <medolino2009@gmail.com> Co-authored-by: Mārtiņš Bruņenieks <martinsb@gmail.com> Co-authored-by: Nicolás McCarthy <nicomcc24@gmail.com> Co-authored-by: Runskrift <anders@rimfrost.nu> Co-authored-by: Ryan Gleeson <gleeson.ryanj@gmail.com> Co-authored-by: Sylvain Pichon <service@spichon.fr> Co-authored-by: Tomas Svec <svec.tomas@gmail.com> Co-authored-by: Umesh Verma <umesh.verma236@gmail.com> Co-authored-by: User 123456789 <w0g-1es-5qq@cld3.com> Co-authored-by: Xo <xocodokie@users.noreply.hosted.weblate.org> Co-authored-by: beckett <beckett.blakey@proton.me> Co-authored-by: johnwoo_nl <pb@lunenburg-productions.nl> Co-authored-by: millallo <millallo@tiscali.it> Co-authored-by: pyccl <changcongliang@163.com> Co-authored-by: waclaw66 <waclaw66@seznam.cz> Co-authored-by: xuars <yago.rana.gayoso@gmail.com> Co-authored-by: yousaf465 <yousaf465@gmail.com> Co-authored-by: 灯笼 <gh_denglong@163.com>	2025-03-25 18:05:23 +00:00
bo0tzz	69662e1ab4	chore: shared renovate configuration (#16903 ) * chore: shared renovate configuration dep: https://github.com/immich-app/.github/pull/2 * chore: move typescript-projects and schedule to shared config --------- Co-authored-by: Zack Pollard <zackpollard@ymail.com>	2025-03-25 14:56:54 +00:00