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COCO-Stuff 164K

Semantic segmentation is one of the most fundamental tasks that aims to classify every pixel of a given image into a specific class. It is widely applied to many applications such as autonomous driving and video surveillance.

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Cite this as

Shoumeng Qiu, Jie Chen, Xinrun Li, Ru Wan, Xiangyang Xue, Jian Pu (2024). Dataset: COCO-Stuff 164K. https://doi.org/10.57702/5p16xava

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Shoumeng Qiu
More Authors	Jie Chen Xinrun Li Ru Wan Xiangyang Xue Jian Pu