{
 "id": "deepghs/anime_eye_detection",
 "owner": "deepghs",
 "name": "anime_eye_detection",
 "downloads": 50,
 "likes": 3,
 "last_modified": "2025-11-17T18:06:59.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@misc{anime_eye_detection,\n  title        = {Anime Eye Detection Dataset},\n  author       = {deepghs},\n  howpublished = {\\url{https://huggingface.co/datasets/deepghs/anime_eye_detection}},\n  year         = {2023},\n  note         = {Ultralytics-compatible dataset for anime character eye detection with bounding box annotations},\n  abstract     = {This repository provides an ultralytics-compatible dataset specifically designed for anime character eye detection. The dataset contains annotated bounding boxes for eyes in anime-style character images, making it ideal for training computer vision models to detect and localize eyes in anime artwork. The dataset is formatted to work seamlessly with YOLOv8 and other Ultralytics frameworks, enabling researchers and developers to quickly implement and experiment with eye detection models for anime content. The dataset includes multiple format versions to accommodate different training pipelines and requirements, with both processed and raw data available in COCO and YOLOv8 formats.},\n  keywords     = {anime, eye-detection, object-detection, ultralytics, yolov8}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "5be87164942320f46482f9a561398fcd0a61814e",
 "stated_evidence": "https://huggingface.co/datasets/deepghs/anime_eye_detection/blob/5be87164942320f46482f9a561398fcd0a61814e/README.md",
 "file_evidence": "https://huggingface.co/datasets/deepghs/anime_eye_detection/tree/5be87164942320f46482f9a561398fcd0a61814e",
 "card_nc": false
}