🔮 This is the official evaluation toolkit for:
- [ICCV 2023] PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking.
- [CVIU 2025] PlanarTrack: A High-quality and Challenging Benchmark for Large-scale Planar Object Tracking.
[Website] [PlanarTrack-OneDrive (~107G)]
[PlanarTrack-Extend-HuggingFace (~187G)]
Figure: Examples of annotated sequences in the proposed PlanarTrack. Each video is annotated with four corner points.
- 👉 Download the repository, and unzip it to your computer
- 👉 Download the annotations (GoogleDrive or OneDrive) of PlanarTrack, and unzip it to folder
PlanarTrack/annotation/ - 👉 Download the tracking result file (GoogleDrive or OneDrive) of evaluated trackers, and unzip it to folder
PlanarTrack/tracking_result/ - 🏃 Run
RunEvaluation.min Matlab, and the plots will be saved inPlanarTrack/plots/
🙏 If you use PlanarTrack for your research, please consider giving it a star ⭐ and citing it:
@inproceedings{liu2023planartrack,
title={PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking},
author={Liu, Xinran and Liu, Xiaoqiong and Yi, Ziruo and Zhou, Xin and Le, Thanh and
Zhang, Libo and Huang, Yan and Yang, Qing and Fan, Heng},
booktitle={ICCV},
year={2023}
}
@article{jiao2025planartrack,
title={PlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking},
author={Jiao, Yifan and Liu, Xinran and Liu, Xiaoqiong and Yuan, Xiaohui and Fan, Heng and Zhang, Libo},
journal={Computer Vision and Image Understanding},
pages={104553},
year={2025},
publisher={Elsevier}
}
🌹 We would like to thank LaSOT and POT-210 for sharing their codes.