PUMaVOS (Partial and Unusual Masks for Video Object Segmentation)
Introduced by Bekuzarov et al. in XMem++: Production-level Video Segmentation From Few Annotated Frames
PUMaVOS is a dataset of challenging and practical use cases inspired by the movie production industry.
Partial and Unusual Masks for Video Object Segmentation (PUMaVOS) dataset has the following properties: - 24 videos, 21187 densely-annotated frames; - Covers complex practical use cases such as object parts, frequent occlusions, fast motion, deformable objects and more; - Average length of the video is 883 frames or 29s, with the longer ones spanning 1min; - Fully densely annotated at 30FPS; - Benchmark-oriented: no separation into training/test, designed to be as diverse as possible to test your models; - 100% open and free to download.
Papers
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