Files
store/data/tools/images-folder-classifier-using-vision-llm.json
zeekayandGitHub 2f1968de72 chore(rebrand): remove all shinkai references
- Tool router keys: __official_shinkai → __hanzo (176 data files)
- User tool keys: sep_shinkai → sep_hanzo
- Email addresses: @shinkai.com → @hanzo.ai (privacy, terms, support, legal, DMCA)
- Store URL: store.shinkai.com → store.hanzo.ai
- Keywords: "shinkai" → "hanzo" in tool metadata
- Renamed: shinkai-question-learner → hanzo-question-learner
- Renamed: shinkai-tool-logo-and-banner-creator → hanzo-tool-logo-and-banner-creator
- Updated doc paths to ~/work/hanzo/store
- CDN URLs (shinkai-store R2 bucket) kept as-is (requires bucket rename)
2026-02-13 23:08:56 -08:00

47 lines
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JSON

{
"id": "images-folder-classifier-using-vision-llm",
"name": "Images folder classifier - using vision LLM",
"description": "This tool uses a vision capable LLM to classify images in a folder based on your custom labels, organizes them into subfolders (optional), and creates a COCO-format JSON dataset. It provides a clear summary of results, including any issues like low-confidence labels.\n\nHow to Use :\n\n1. Put your images (.jpg, .png, etc.) in a folder.\n\n2. Specify the folder path, a list of labels (e.g., \"cat\", \"dog\"), and your vision AI model.\n\n3. Choose how to handle images : just label them, copy to label subfolders, or move to subfolders.\n\n4. Set optional preferences, like picking the highest-confidence label instead of all labels, or defining a minimum confidence score.\n\n5. Run the tool to classify images, save a COCO JSON file, and organize images (if selected).\n\n6. Check the JSON file for classifications, subfolders with classified images, and a summary of results.\n\nNotes :\n\n- The tool checks AI outputs for errors, implement retries, and reports issues like invalid labels.\n\n- Supports multiple labels per image.\n\n- If moving images, originals are deleted only after successful organization.\n\n- In configuration you can pick which types of errors to include in the output.\n\nWARNING : possible high LLM usage, depending on the number of images in the folder.\n\n",
"version": "1.0.0",
"author": "hanzo.ai",
"homepage": "local:::__gilles_test2_sep_hanzo:::images_folder_classifier___using_vision_llm",
"license": "MIT",
"category": "Photo & Video",
"tags": [
"image",
"classification",
"vision LLM",
"COCO",
"folder",
"labeling",
"sorting"
],
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"createdAt": "2025-04-30T15:52:12.893Z",
"updatedAt": "2025-04-30T15:52:12.893Z",
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