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JHU-CROWD++

JHU-CROWD++ is a large-scale unconstrained dataset that comprises a total of 4,372 images, containing 1,515,005 head annotations and captured under a variety of conditions.

Data and Resources

Cite this as

Junyu Gao, Maoguo Gong, Xuelong Li (2024). Dataset: JHU-CROWD++. https://doi.org/10.57702/ijb05n9w

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.2308.16187
Author Junyu Gao
More Authors
Maoguo Gong
Xuelong Li
Homepage https://github.com/CSAILVision/JHU-CROWD++