{"url":"/dataset/ucf-cc-50-1","name":"UCF-CC-50","full_name":"UCF-CC-50","description_markdown":"**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.\r\n\r\nSource: [Active Crowd Counting with Limited Supervision](https://arxiv.org/abs/2007.06334)","description_withheld":null,"homepage":"https://www.crcv.ucf.edu/data/ucf-cc-50/","introduced_date":"2013-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-source-multi-scale-counting-in","title":"Multi-source Multi-scale Counting in Extremely Dense Crowd Images","first_author":"Haroon Idrees","url":null},"license":{"name":"Custom (non-commercial)","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Density Estimation","url":"/task/density-estimation","datasets_with_task":"/datasets/task/density-estimation"},{"name":"Crowd Counting","url":"/task/crowd-counting","datasets_with_task":"/datasets/task/crowd-counting"},{"name":"Human Detection","url":"/task/human-detection","datasets_with_task":"/datasets/task/human-detection"}],"languages":[],"variants":["UCF-CC-50"],"data_loaders":[],"num_papers_in_archive":32,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}