The Cut-VOS is a comple Multi-shot Video Object Segmentation (MVOS) benchmark, aims to segment the target object throughout a video sequence given the first mask prompt. Cut-VOS contains 100 videos, 174 annotated objects, and 10.2K high-quality masks with 9 different types of shot transitions. The target objects are accross 11 different categories, involving both actors and static objects. Please cite our work Segment Anything Across Shots: A method and Benchmark if the dataset helps your research.

@inproceedings{SAAS2025,
 title={{S}egment {A}nything {A}cross {S}hots: {A} Method and {B}enchmark},
 author={Hu, Hengrui and Ying, Kaining and Ding, Henghui},
 booktitle={AAAI},
 year={2026}
}