DeepSea MOT is a benchmark dataset for multi-object tracking on deep-sea video.
DeepSea MOT consists of 4 video sequences (2 midwater, 2 benthic) with a total of 2,400 frames and 57,376 annotated objects comprising 188 tracks. The videos were captured by the Monterey Bay Aquarium Research Institute (MBARI) using remotely operated vehicles (ROVs) Doc Ricketts and Ventana in deep-sea environments, showcasing a variety of marine species and… See the full description on the dataset page:
https://huggingface.co/datasets/MBARI-org/DeepSea-MOT.