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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

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Cite this as

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

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It is available for use in manuscripts, and will be published when the Dataset is made public.

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++