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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

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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

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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/