PUMaVOS
Partial and Unusual Masks for Video Object Segmentation
ImagesRGB VideoCC BY 4.0Introduced 2023-07-29
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.