{"url":"/dataset/uta-rldd","name":"UTA-RLDD","full_name":"University of Texas at Arlington Real-Life Drowsiness Dataset","description_markdown":"Consists of around 30 hours of video, with contents ranging from subtle signs of drowsiness to more obvious ones.\r\n\r\nSource: [A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection](/paper/a-realistic-dataset-and-baseline-temporal)","description_withheld":null,"homepage":"https://sites.google.com/view/utarldd/home","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-realistic-dataset-and-baseline-temporal","title":"A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection","first_author":"Reza Ghoddoosian","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["UTA-RLDD"],"data_loaders":[{"repo":"https://github.com/PengfeiM/Fatigue-Driven-Detection-Based-on-CNN","url":"https://github.com/PengfeiM/Fatigue-Driven-Detection-Based-on-CNN","frameworks":["pytorch"]}],"num_papers_in_archive":4,"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":"2026-09-25T09:33:49+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."}