Update README.md

Will add "how to " section after we update the inference code. Will add "training data" section when the paper is on arxiv.

README.md

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 - pose_estimation
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+# Model description
+
+SuperAnimal-Quadruped is a model based on DLCRNet-ms5 (https://www.nature.com/articles/s41592-022-01443-0). The model has been trained with 40K quadruped images from publicly available quadruped images. 
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+Based on panoptic pose estimation formulation and rich training datasets, the model is able to predict many more keypoints than common human keypoints.
+
 Copyright 2021-2023 by Mackenzie Mathis, Alexander Mathis, Shaokai Ye and contributors. All rights reserved.
 
 - Non-commercial use only is permitted 
@@ -12,4 +19,12 @@ Copyright 2021-2023 by Mackenzie Mathis, Alexander Mathis, Shaokai Ye and contri
 - If this license is not suitable for your business or project
 please contact EPFL-TTO (https://tto.epfl.ch/) for a full commercial license.
 
-This software may not be used to harm any animal deliberately.
+This software may not be used to harm any animal deliberately.
+
+# Limitations and bias
+
+Because most quadruped in images appear in side-view and front-view, the model might have performance degradation in the back-view due to lack of training data.
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+The model can have sub-optimal performance if the image is not resized properly as the model is fit to a certain image size (empirically, smaller than 1500 pixels).
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+