license: other
tags:
- computer_vision
- pose_estimation
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.
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
- please cite Ye et al if you use this model in your work https://arxiv.org/abs/2203.07436v1
- 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.
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.
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).