---
license: agpl-3.0
library_name: ultralytics
datasets:
- wider_face
- skytnt/anime-segmentation
tags:
- pytorch
---
# YOLOv8 Detection Model
## Datasets
### Face
- [Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
- [xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
- [AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
### Hand
- [AnHDet](https://universe.roboflow.com/1-yshhi/anhdet)
- [hand-detection-fuao9](https://universe.roboflow.com/catwithawand/hand-detection-fuao9)
### Person
- [coco2017](https://cocodataset.org/#home) (only person)
- [AniSeg](https://github.com/jerryli27/AniSeg)
- [skytnt/anime-segmentation](https://huggingface.co/datasets/skytnt/anime-segmentation)
### deepfashion2
- [deepfashion2](https://github.com/switchablenorms/DeepFashion2)
| id | label |
| --- | --------------------- |
| 0 | short_sleeved_shirt |
| 1 | long_sleeved_shirt |
| 2 | short_sleeved_outwear |
| 3 | long_sleeved_outwear |
| 4 | vest |
| 5 | sling |
| 6 | shorts |
| 7 | trousers |
| 8 | skirt |
| 9 | short_sleeved_dress |
| 10 | long_sleeved_dress |
| 11 | vest_dress |
| 12 | sling_dress |
## Info
| Model | Target | mAP 50 | mAP 50-95 |
| --------------------------- | --------------------- | ----------------------------- | ----------------------------- |
| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
| face_yolov8n_v2.pt | 2D / realistic face | 0.669 | 0.372 |
| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
| face_yolov8m.pt | 2D / realistic face | 0.737 | 0.424 |
| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 |
| hand_yolov8s.pt | 2D / realistic hand | 0.794 | 0.527 |
| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) |
| person_yolov8s-seg.pt | 2D / realistic person | 0.824 (bbox)<br/>0.809 (mask) | 0.605 (bbox)<br/>0.508 (mask) |
| person_yolov8m-seg.pt | 2D / realistic person | 0.849 (bbox)<br/>0.831 (mask) | 0.636 (bbox)<br/>0.533 (mask) |
| deepfashion2_yolov8s-seg.pt | realistic clothes | 0.849 (bbox)<br/>0.840 (mask) | 0.763 (bbox)<br/>0.675 (mask) |
## Usage
```python
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt")
model = YOLO(path)
```
```python
import cv2
from PIL import Image
img = "https://farm5.staticflickr.com/4139/4887614566_6b57ec4422_z.jpg"
output = model(img)
pred = output[0].plot()
pred = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
pred = Image.fromarray(pred)
pred
```
![image](https://i.imgur.com/9ny1wmD.png)
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adetailer 插件模型,从huggingface搬运,供不能访问的小伙伴使用
共11个文件
pt:10个
md:1个
需积分: 5 5 下载量 160 浏览量
2023-10-03
17:40:50
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adetailer 最新插件 在使用时,需要联网huggingface 获取模型,在网络不能访问时,SDwebUI 启动时会因为需要联网加载adetailer 模型 而启动缓慢,可以在 webui-user的文件中增加 --ad-no-huggingface ,这时不会再联网获取模型,而是获取 stable-diffusion-webui/models/adetailer 下的模型,下载附件模型后全部丢到这个目录下就好,webui 会自动识别。
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adetailer.zip (11个子文件)
face_yolov8n_v2.pt 5.93MB
person_yolov8m-seg.pt 52.25MB
hand_yolov8n.pt 5.93MB
person_yolov8s-seg.pt 22.72MB
deepfashion2_yolov8s-seg.pt 22.72MB
face_yolov8m.pt 49.59MB
face_yolov8n.pt 5.92MB
face_yolov8s.pt 21.44MB
hand_yolov8s.pt 21.44MB
person_yolov8n-seg.pt 6.44MB
README.md 3KB
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