{"url":"/dataset/countix-av","name":"Countix-AV","full_name":null,"description_markdown":"**Countix-AV** is a dataset for repetitive action counting by sight and sound created by repurposing the [Countix](countix) dataset.\n\nIt is created by selecting 19 categories from Countix for which the repetitive action has a clear sound, such as clapping, playing tennis, etc. The dataset contains 1,863 videos, with 987, 311 and 565 for training, validation and testing.\n\nThe authors maintained the original count annotations from Countix and kept the same split (i.e. training, validation, or testing) for each video.","description_withheld":null,"homepage":"https://github.com/xiaobai1217/RepetitionCounting","introduced_date":"2021-03-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/repetitive-activity-counting-by-sight-and","title":"Repetitive Activity Counting by Sight and Sound","first_author":"Yunhua Zhang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["Countix-AV"],"data_loaders":[{"repo":"https://github.com/xiaobai1217/RepetitionCounting","url":"https://github.com/xiaobai1217/RepetitionCounting","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}