Omkar2118/datasets huggingface dataset:
M$^3$-VOS
Full name: M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation

## 💡 Description

A new benchmark, Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (M$^3$-VOS), to verify the ability of models to understand object phases, which consists of 479 high-resolution videos spanning over 10 distinct everyday scenarios. We collected 205,181 masks, with an average track duration of 14.27s. M$^3$-VOS covers 120+ categories of objects across 6 phases within 14 scenarios, encompassing 23 specific phase transitions. 

- **Venue:** CVPR2025
- **Repository:** [Tool 🛠️](https://github.com/Lijiaxin0111/SemiAuto-Multi-Level-Annotation-Tool), [Page🏠](https://zixuan-chen.github.io/M-cube-VOS.github.io/)
- **Paper:** arxiv.org/html/2412.13803v2
- **Point of Contact:** [Jiaxin Li](li_jiaxin@sjtu.edu.cn) , [Zixuan Chen](m13953842591@sjtu.edu.cn)