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@@ -13,5 +13,7 @@ Dataset for anime head detection (include the entire head, not only the face par
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  | Dataset | Train | Test | Validate | Description |
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  |------------------------|-------|------|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | ani_face_detection.v1i | 25698 | 113 | 253 | A high-quality third-party dataset (seems to no longer be publicly available, please contact me for removal if it infringes your rights) that can be used for training directly. Although its name includes `face`, but what it actually annotated are `head`. |
 
 
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  We provide an [online demo](https://huggingface.co/spaces/deepghs/anime_object_detection) here.
 
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  | Dataset | Train | Test | Validate | Description |
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  |------------------------|-------|------|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | ani_face_detection.v1i | 25698 | 113 | 253 | A high-quality third-party dataset (seems to no longer be publicly available, please contact me for removal if it infringes your rights) that can be used for training directly. Although its name includes `face`, but what it actually annotated are `head`. |
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+ | v1.0 | 20889 | 1036 | 2000 | High-quality manually annotated head detection data. Includes images sampled from gelbooru and fancaps. All heads with human characteristics (including front, side, and back views) are marked, while non-human heads without significant humanoid features are not considered as "heads". |
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+ | v1.0-raw | 6963 | 1036 | 2000 | Original archive of v1.0, without any preprocessing or data augmentation. |
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  We provide an [online demo](https://huggingface.co/spaces/deepghs/anime_object_detection) here.