mscheidl/htd3

HardTracksDataset: A Benchmark for Robust Object Tracking under Heavy Occlusion and Challenging Conditions Computer Vision Lab, ETH Zurich Introduction We introduce the HardTracksDataset (HTD), a novel multi-object tracking (MOT) benchmark specifically designed to address two critical limitations prevalent in existing tracking datasets. First, most current MOT benchmarks narrowly focus on restricted scenarios, such as pedestrian movements, dance sequences, or… See the full description on the dataset page: https://huggingface.co/datasets/mscheidl/htd3.

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