{"url":"/dataset/crowdfix","name":"CrowdFix","full_name":null,"description_markdown":"Contributes dataset: (1) reviewing the dynamics behind saliency and crowds. (2) using eye tracking to create a dynamic human eye fixation dataset over a new set of crowd videos gathered from the Internet. The videos are annotated into three distinct density levels. \r\n\r\nSource: [CrowdFix: An Eyetracking Dataset of Real Life Crowd Videos](/paper/crowdfix-an-eyetracking-data-set-of-human)","description_withheld":null,"homepage":"https://github.com/MemoonaTahira/CrowdFix","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/crowdfix-an-eyetracking-data-set-of-human","title":"CrowdFix: An Eyetracking Dataset of Real Life Crowd Videos","first_author":"Memoona Tahira","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CrowdFix"],"data_loaders":[{"repo":"https://github.com/MemoonaTahira/CrowdFix","url":"https://github.com/MemoonaTahira/CrowdFix","frameworks":[]}],"num_papers_in_archive":1,"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."}