MOSE
Complex Video Object Segmentation
홈페이지 · 논문 49편
CoMplex video Object SEgmentation (MOSE) is a dataset to study the tracking and segmenting objects in complex environments. MOSE contains 2,149 video clips and 5,200 objects from 36 categories, with 431,725 high-quality object segmentation masks. The most notable feature of MOSE dataset is complex scenes with crowded and occluded objects. Source: MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
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