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--- |
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license: apache-2.0 |
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library_name: ultralytics |
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datasets: |
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- wider_face |
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- skytnt/anime-segmentation |
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tags: |
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- pytorch |
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--- |
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# YOLOv8 Detection Model |
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## Datasets |
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### Face |
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- [Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml) |
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- [xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1) |
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- [AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i) |
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- [wider face](http://shuoyang1213.me/WIDERFACE/index.html) |
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### Hand |
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- [AnHDet](https://universe.roboflow.com/1-yshhi/anhdet) |
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- [hand-detection-fuao9](https://universe.roboflow.com/catwithawand/hand-detection-fuao9) |
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### Person |
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- [coco2017](https://cocodataset.org/#home) (only person) |
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- [AniSeg](https://github.com/jerryli27/AniSeg) |
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- [skytnt/anime-segmentation](https://huggingface.co/datasets/skytnt/anime-segmentation) |
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### deepfashion2 |
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- [deepfashion2](https://github.com/switchablenorms/DeepFashion2) |
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| id | label | |
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| --- | --------------------- | |
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| 0 | short_sleeved_shirt | |
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| 1 | long_sleeved_shirt | |
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| 2 | short_sleeved_outwear | |
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| 3 | long_sleeved_outwear | |
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| 4 | vest | |
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| 5 | sling | |
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| 6 | shorts | |
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| 7 | trousers | |
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| 8 | skirt | |
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| 9 | short_sleeved_dress | |
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| 10 | long_sleeved_dress | |
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| 11 | vest_dress | |
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| 12 | sling_dress | |
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## Info |
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| Model | Target | mAP 50 | mAP 50-95 | |
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| --------------------------- | --------------------- | ----------------------------- | ----------------------------- | |
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| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 | |
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| face_yolov8n_v2.pt | 2D / realistic face | 0.669 | 0.372 | |
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| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 | |
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| face_yolov8m.pt | 2D / realistic face | 0.737 | 0.424 | |
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| face_yolov9c.pt | 2D / realistic face | 0.748 | 0.433 | |
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| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 | |
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| hand_yolov8s.pt | 2D / realistic hand | 0.794 | 0.527 | |
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| hand_yolov9c.pt | 2D / realistic hand | 0.810 | 0.550 | |
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| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) | |
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| person_yolov8s-seg.pt | 2D / realistic person | 0.824 (bbox)<br/>0.809 (mask) | 0.605 (bbox)<br/>0.508 (mask) | |
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| person_yolov8m-seg.pt | 2D / realistic person | 0.849 (bbox)<br/>0.831 (mask) | 0.636 (bbox)<br/>0.533 (mask) | |
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| deepfashion2_yolov8s-seg.pt | realistic clothes | 0.849 (bbox)<br/>0.840 (mask) | 0.763 (bbox)<br/>0.675 (mask) | |
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## Usage |
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```python |
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from huggingface_hub import hf_hub_download |
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from ultralytics import YOLO |
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path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt") |
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model = YOLO(path) |
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``` |
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```python |
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import cv2 |
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from PIL import Image |
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img = "https://farm5.staticflickr.com/4139/4887614566_6b57ec4422_z.jpg" |
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output = model(img) |
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pred = output[0].plot() |
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pred = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB) |
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pred = Image.fromarray(pred) |
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pred |
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``` |
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## Unsafe files |
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Since `getattr` is classified as a dangerous pickle function, any segmentation model that uses it is classified as unsafe. |
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All models were created and saved using the official [ultralytics](https://github.com/ultralytics/ultralytics) library, so it's okay to use files downloaded from a trusted source. |
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See also: https://huggingface.co/docs/hub/security-pickle |
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