Update README.md

README.md

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 ## Model Details
 
-• SuperAnimal-Quadruped model developed by the [M.W.Mathis Lab](http://www.mackenziemathislab.org/) in 2023, trained to predict quadruped pose from images. 
+• SuperAnimal-Quadruped model(s) developed by the [M.W.Mathis Lab](http://www.mackenziemathislab.org/) in 2023, trained to predict quadruped pose from images. 
 Please see [Shaokai Ye et al. 2023](https://arxiv.org/abs/2203.07436) for details.
 
-• The model is an HRNet-w32 trained on our Quadruped-80K dataset.
+• The there are three models:
+  - One is an HRNet-w32 trained within mmpose on our Quadruped-80K dataset.
+  - pose_model is an HRNet-w32 compatable for DLC3.0+ Pytorch code, trained on our Quadruped-80K dataset.
+  - Detector is a Faster R-CNN that can be used as a detector for top-down estimation.
 
-• It was trained within the DeepLabCut framework. Full training details can be found in Ye et al. 2023.
-You can use this model simply with our light-weight loading package called [DLCLibrary](https://github.com/DeepLabCut/DLClibrary). 
+• Full training details can be found in Ye et al. 2023.
+You can use the pose_model and detector simply with our light-weight loading package called [DLCLibrary](https://github.com/DeepLabCut/DLClibrary). 
 Here is an example useage:
 
 ```python