---
license: apache-2.0
---
# [APTv2 Dataset](https://github.com/ViTAE-Transformer/APTv2)

**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](https://arxiv.org/abs/2312.15612)

Code: [Github](https://github.com/ViTAE-Transformer/APTv2)