{"url":"/dataset/quva-repetition","name":"QUVA Repetition","full_name":null,"description_markdown":"QUVA Repetition dataset consists of 100 videos displaying a wide variety of repetitive video dynamics, including swimming, stirring, cutting, combing and music-making. All videos have been annotated with individual cycle bounds and a total repetition count.\r\n\r\nSource: [Real-world Repetition Estimation by Div, Grad and Curl](https://tomrunia.github.io/projects/repetition/)","description_withheld":null,"homepage":"https://tomrunia.github.io/projects/repetition/","introduced_date":"2018-02-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/real-world-repetition-estimation-by-div-grad","title":"Real-World Repetition Estimation by Div, Grad and Curl","first_author":"Tom F. H. Runia","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"}],"languages":[],"variants":["QUVA Repetition"],"data_loaders":[],"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":"2026-09-24T18:15:14+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."}