AcinoSet is a video dataset of cheetahs running freely in the wild, containing 119,490 frames of multi-view synchronized high-speed video clips, camera calibration files, and 7,588 manually annotated frames. The authors used DeepLabCut's unannotated animal pose estimation to provide 2D keypoints. The dataset also includes 3D trajectories, manually checked 3D ground truth, and interactive tools for inspecting the data.

Citation

@misc{joska2021acinoset,
title={AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild},
author={Daniel Joska and Liam Clark and Naoya Muramatsu and Ricardo Jericevich and Fred Nicolls and Alexander Mathis and Mackenzie W. Mathis and Amir Patel},
year={2021},
eprint={2103.13282},
archivePrefix={arXiv},
primaryClass={cs.CV}
}