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license: apache-2.0 |
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# [APTv2 Dataset](https://github.com/ViTAE-Transformer/APTv2) |
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**APTv2** is a large-scale benchmark for **animal pose estimation and tracking** across 30 species. |
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It provides high-quality **keypoint** and **tracking annotations** for 84,611 animal instances spanning **2,749 video clips** (41,235 frames total). |
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### 📦 Dataset Overview |
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* **Total videos:** 2,749 |
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* **Frames per clip:** 15 |
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* **Total frames:** 41,235 |
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* **Annotated instances:** 84,611 |
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* **Species:** 30 |
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* **Tracks:** |
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1. Single-frame pose estimation |
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2. Low-data generalization |
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3. Pose tracking |
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### 🧠 Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@misc{yang2023aptv2, |
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title={APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond}, |
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author={Yuxiang Yang and Yingqi Deng and Yufei Xu and Jing Zhang}, |
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year={2023}, |
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eprint={2312.15612}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
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### 📚 Reference |
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Original paper: [APTv2 on arXiv](https://arxiv.org/abs/2312.15612) |
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Code: [Github](https://github.com/ViTAE-Transformer/APTv2) |
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