GOT-10k (Generic Object Tracking Benchmark)

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GOT-10k (Generic Object Tracking Benchmark)

A large, high-diversity, one-shot database for generic object tracking in the wild. The dataset contains more than 10,000 video segments of real-world moving objects and over 1.5 million manually labeled bounding boxes. The dataset is backboned by WordNet and it covers a majority of 560+ classes of real-world moving objects and 80+ classes of motion patterns.The test set embodies 84 object classes and 32 motion classes with only 180 video segments, allowing for efficient evaluation.

Dataset Attributes