{"url":"/dataset/cruw","name":"CRUW","full_name":null,"description_markdown":"**CRUW** is a dataset for the radar object detection (ROD) task, which aims to classify and localize the objects in 3D purely from radar's radio frequency (RF) images. The CRUW dataset has a systematic annotation and evaluation system, which involves camera RGB images and radar RF images, collected in various driving scenarios.","description_withheld":null,"homepage":"https://www.cruwdataset.org/","introduced_date":"2021-05-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/rethinking-of-radar-s-role-a-camera-radar","title":"Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment","first_author":"Yizhou Wang","url":null},"license":{"name":"Custom (non-commercial)","url":null},"modalities":[],"tasks":[{"name":"Radar Object Detection","url":"/task/radar-object-detection","datasets_with_task":"/datasets/task/radar-object-detection"}],"languages":[],"variants":["CRUW"],"data_loaders":[],"num_papers_in_archive":9,"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":"2026-09-25T09:33:49+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."}