About

BEE24 includes a total of 36 videos and 446,908 annotations. BEE24 challenges models to track multiple similar-appearing small objects with complex motions over long periods. It serves as a testbed for MOT research in more complex and diverse real-world scenes, significantly contributing to tracking general objects, including pedestrians, vehicles, drones, animals, insects, etc. The leaderboard of existing trackers, as well as training and testing sequences, can be found in the code repository and the paper.

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References

If you find this dataset useful, please cite:

              
              @ARTICLE{10851814, author={Cao, Xiaoyan and Zheng, Yiyao and Yao, Yao and Qin, Huapeng and Cao, Xiaoyu and Guo, Shihui}, journal={IEEE Transactions on Image Processing}, title={TOPIC: A Parallel Association Paradigm for Multi-Object Tracking Under Complex Motions and Diverse Scenes}, year={2025}, volume={34}, pages={743-758}, doi={10.1109/TIP.2025.3526066}} 
              
                

Contact

If you have any questions or suggestions, please contact us at caoxiaoyan@stu.pku.edu.cn.