Omkar2118/datasets huggingface dataset:
PUMaVOS
Full name: 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.

Introducing paper: XMem++: Production-level Video Segmentation From Few Annotated Frames