{"url":"/dataset/uestc-rgb-d","name":"UESTC RGB-D","full_name":"UESTC RGB-D Varying-view action database","description_markdown":"UESTC RGB-D Varying-view action database contains 40 categories of aerobic exercise. We utilized 2 Kinect V2 cameras in 8 fixed directions and 1 round direction to capture these actions with the data modalities of RGB video, 3D skeleton sequences and depth map sequences.","description_withheld":null,"homepage":"https://github.com/HRI-UESTC/CFM-HRI-RGB-D-action-database","introduced_date":"2018-05-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-large-scale-varying-view-rgb-d-action","title":"A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition","first_author":"Yanli Ji","url":null},"license":{"name":"https://github.com/HRI-UESTC/CFM-HRI-RGB-D-action-database/blob/master/License%20Agreement.pdf","url":"https://github.com/HRI-UESTC/CFM-HRI-RGB-D-action-database/blob/master/License%20Agreement.pdf"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Human action generation","url":"/task/human-action-generation","datasets_with_task":"/datasets/task/human-action-generation"},{"name":"Recognizing And Localizing Human Actions","url":"/task/recognizing-and-localizing-human-actions","datasets_with_task":"/datasets/task/recognizing-and-localizing-human-actions"}],"languages":[],"variants":["UESTC RGB-D"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/human-action-generation-on-uestc-rgb-d","task":"Human action generation","dataset_variant":"UESTC RGB-D","rows":1,"metrics":["Accuracy","Diversity","FID","Test"],"first_row_in_archive_order":{"model":"ODMO","paper":"/paper/action-conditioned-on-demand-motion","metrics":{"Accuracy":"93.67","Diversity":"7.11","FID":"0.15","Test":"0.17"},"code_links":[{"title":"roychowdhuryresearch/odmo","url":"https://github.com/roychowdhuryresearch/odmo"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/action-conditioned-on-demand-motion","title":"Action-conditioned On-demand Motion Generation","date":"2022-07-17","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}