Explore datasets, benchmarks, and challenges for multi-object tracking in computer vision, all in one place for research and comparison.
Access leading multi-object tracking benchmarks
MOT Challenge is a central hub for researchers and professionals working on multiple object tracking in computer vision. Here, you can find a variety of standardized datasets, benchmarks, and challenges specifically designed for evaluating tracking algorithms. The site aims to unify performance assessment methods, making it easier for you to compare results and advance your work.
Whether you're developing new tracking models or benchmarking existing ones, the site provides the resources and evaluation tools you need. It’s ideal for anyone in the computer vision field who wants reliable, consistent, and widely recognized data and evaluation standards. With regularly updated challenges and a focus on meaningful comparison, MOT Challenge helps you stay at the forefront of tracking research.
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