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.

Data and Resources

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

DOI retrieved: December 16, 2024

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