Datasets › PUMaVOS
PUMaVOS (Partial and Unusual Masks for Video Object Segmentation)
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PUMaVOS
1 variant name, as the archive lists them.
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