DAVIS 2017 Challenge

The DAVIS 2017 challenge dataset is a benchmark for video object segmentation. It consists of 150 sequences with multiple objects and instance-level pixel-wise annotations.

Data and Resources

Cite this as

Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang (2024). Dataset: DAVIS 2017 Challenge. https://doi.org/10.57702/hseu3tqc

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.1709.04609
Author Jingchun Cheng
More Authors
Sifei Liu
Yi-Hsuan Tsai
Wei-Chih Hung
Shalini De Mello
Jinwei Gu
Jan Kautz
Shengjin Wang
Ming-Hsuan Yang
Homepage https://www.davis2017.org/