APTv2 Dataset

APTv2 is a large-scale benchmark for animal pose estimation and tracking across 30 species. It provides high-quality keypoint and tracking annotations for 84,611 animal instances spanning 2,749 video clips (41,235 frames total).

📦 Dataset Overview

• Total videos: 2,749

• Frames per clip: 15

• Total frames: 41,235

• Annotated instances: 84,611

• Species: 30

• Tracks:

  1. Single-frame pose estimation
  2. Low-data generalization
  3. Pose tracking

🧠 Citation

If you use this dataset, please cite:

@misc{yang2023aptv2,
  title={APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond},
  author={Yuxiang Yang and Yingqi Deng and Yufei Xu and Jing Zhang},
  year={2023},
  eprint={2312.15612},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

📚 Reference

Original paper: APTv2 on arXiv

Code: Github