Datasets › UCF-CC-50

UCF-CC-50

Introduced by Haroon Idrees et al. in Multi-source Multi-scale Counting in Extremely Dense Crowd Images1 Jan 2013 archive 2025-07-28

UCF-CC-50 is a dataset for crowd counting and consists of images of extremely dense crowds. It has 50 images with 63,974 head center annotations in total. The head counts range between 94 and 4,543 per image. The small dataset size and large variance make this a very challenging counting dataset.

Source: Active Crowd Counting with Limited Supervision

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 32 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Density Estimation Crowd Counting Human Detection

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

UCF-CC-50

1 variant name, as the archive lists them.

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