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docs: segment model, datasets

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You **DON'T** need to download any model from huggingface. You **DON'T** need to download any model from huggingface.
## Model ## Usage
| Model | Target | mAP 50 | mAP 50-95 | TO DO
| -------------------- | ------------------- | ------ | --------- |
| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
| mediapipe_face_full | realistic | - | - |
| mediapipe_face_short | realistic | - | - |
The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
### Dataset
Datasets used for training the yolo face detection models are:
- [roboflow AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
- [roboflow Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
- [roboflow xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
### User Model
Put your [ultralytics](https://github.com/ultralytics/ultralytics) model in `webui/models/adetailer`. The model name should end with `.pt` or `.pth`.
It must be a bbox detection model and use only label 0.
## ControlNet Inpainting ## ControlNet Inpainting
@@ -48,6 +26,47 @@ You can use the ControlNet inpaint extension if you have ControlNet installed an
On the ControlNet tab, select a ControlNet inpaint model and set the model weights. On the ControlNet tab, select a ControlNet inpaint model and set the model weights.
## Model
| Model | Target | mAP 50 | mAP 50-95 |
| --------------------- | --------------------- | ----------------------------- | ----------------------------- |
| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
| mediapipe_face_full | realistic face | - | - |
| mediapipe_face_short | realistic face | - | - |
| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 |
| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) |
The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
### User Model
Put your [ultralytics](https://github.com/ultralytics/ultralytics) model in `webui/models/adetailer`. The model name should end with `.pt` or `.pth`.
It must be a bbox detection or segment model and use all label.
### Dataset
Datasets used for training the yolo models are:
#### 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)
## Example ## Example
![image](https://i.imgur.com/i74ukgi.png) ![image](https://i.imgur.com/i74ukgi.png)