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PASCAL-Context Dataset

The PASCAL-Context dataset comprises 4,998 images for training and 5,105 images for testing. This dataset offers dense labels for four tasks including semantic segmentation, human parsing, surface normal estimation, and saliency detection.

Data and Resources

Cite this as

Xuehao Wang, Feiyang Ye, Yu Zhang (2024). Dataset: PASCAL-Context Dataset. https://doi.org/10.57702/xhjxn22l

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2403.10971
Author Xuehao Wang
More Authors
Feiyang Ye
Yu Zhang
Homepage https://www.pascal-context.org/