{"url":"/dataset/radelft","name":"RaDelft","full_name":null,"description_markdown":"The RaDelft dataset is a novel, large-scale, real-life, and multi-sensor dataset that has been recorded using a demonstrator vehicle in different locations in the city of Delft. It contains data from a lidar, an imaging radar board, a camera, and the ego vehicle’s odometry. Check the reference paper for more details about the data collection and the sensors' setup.\r\n\r\n*To request access, use the following link:*\r\n\r\nhttps://docs.google.com/forms/d/1whyNTiAsZ4l0ENwFiut4yb3FzF3yPjKCdH42OMTlaEk/","description_withheld":null,"homepage":"https://data.4tu.nl/datasets/4e277430-e562-4a7a-adfe-30b58d9a5f0a","introduced_date":"2024-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-deep-automotive-radar-detector-using-the","title":"A Deep Automotive Radar Detector using the RaDelft Dataset","first_author":"Ignacio Roldan","url":null},"license":null,"modalities":[],"tasks":[{"name":"Radar Object Detection","url":"/task/radar-object-detection","datasets_with_task":"/datasets/task/radar-object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RaDelft"],"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."}