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CrowdHuman

CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.

Data and Resources

Cite this as

Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun (2024). Dataset: CrowdHuman. https://doi.org/10.57702/4kbnm9pv

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.2211.13859
Citation
  • https://doi.org/10.48550/arXiv.2211.05654
  • https://doi.org/10.48550/arXiv.2406.05726
  • https://doi.org/10.48550/arXiv.2211.12110
  • https://doi.org/10.48550/arXiv.2211.09788
Author Shuai Shao
More Authors
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
Homepage https://arxiv.org/abs/1805.00123