VOTChallenge
Visual Object Tracking
The Visual Object Tracking (VOT) dataset is a collection of video sequences used for evaluating and benchmarking visual object tracking algorithms. It provides a standardized platform for researchers and practitioners to assess the performance of different tracking methods.