Datasetpublic

DenisKochetov/APTv2

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: Single-frame pose estimation Low-data generalization Pose tracking 🧠… See the full description on the dataset page: https://huggingface.co/datasets/DenisKochetov/APTv2.

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face

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Dataset Card

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:

bibtex

@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