Update README.md

README.md

@@ -3,12 +3,11 @@
 <img src="https://user-images.githubusercontent.com/24314647/236082274-b25a70c8-9267-4375-97b0-eddf60a7dfc6.png" width=375> easy_ViTPose
 </p>
 
-## Accurate 2d human pose estimation, finetuned on 25 keypoints COCO skeleton + feet  
+## Accurate 2d human and animal pose estimation
 ### Easy to use SOTA `ViTPose` [Y. Xu et al., 2022] models for fast inference.
 
 These are just the models, refer to https://github.com/JunkyByte/easy_ViTPose for the actual code.
 
-
 | Models | Path |
 | :----: | :----: |
 | TORCH | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/torch) |
@@ -18,7 +17,7 @@ These are just the models, refer to https://github.com/JunkyByte/easy_ViTPose fo
 You can also download the YOLOv5 models:
 | Models | Path |
 | :----: | :----: |
-| YOLOv5 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov5) |
+| YOLOv8 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov8) |
 
 ### License
 Refer to official https://github.com/ViTAE-Transformer/ViTPose/blob/main/LICENSE for model license