GMOT-40 is the first public dense dataset for Generic Multiple Object Tracking (GMOT). It contains 40 carefully annotated sequences evenly distributed among 10 object categories. Beyond the data, a challenging protocal, one-shot GMOT, is adopted and a series of baseline algorithms is introduced. GMOT-40 is featured in
Please check out the benchmark details and download links at Download page, baseline results at Leaderboard page.
Please consider citing GMOT-40 if it is helpful for you :)
GMOT-40: A Benchmark for Generic Multiple Object Tracking H. Bai*, W. Cheng*, P. Chu*, K. Zhang, and H. Ling IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
We appreciate questions and suggestions to Wensheng Cheng(general things) at wenscheng@cs.stonybrook.edu or Haibin Ling(commercial use) at hling@cs.stonybrook.edu.