{"url":"/dataset/open-radar-datasets","name":"Open Radar Datasets","full_name":"Open Radar Datasets: Outdoor Moving Object Dataset","description_markdown":"A classification dataset of radar spectrograms in i \"ground surveillance\" setting recorded with the Open Radar Initiative.  \r\nA dataset in a \"ground surveillance\" setting. \r\nThe dataset has been collected with a stationary radar and targets moving in front of the radar. The dataset has been collected using both collaborative and non-collaborative targets.","description_withheld":null,"homepage":"https://github.com/openradarinitiative/open_radar_datasets","introduced_date":"2021-05-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/open-radar-initiative-large-scale-dataset-for","title":"Open Radar Initiative: Large Scale Dataset for Benchmarking of micro-Doppler Recognition Algorithms","first_author":"Daniel Gusland","url":null},"license":{"name":"GPL-3.0","url":"https://github.com/openradarinitiative/open_radar_datasets?tab=GPL-3.0-1-ov-file#readme"},"modalities":[],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Self-Supervised Learning","url":"/task/self-supervised-learning","datasets_with_task":"/datasets/task/self-supervised-learning"}],"languages":[],"variants":["Open Radar Datasets"],"data_loaders":[],"num_papers_in_archive":2,"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."}