{"url":"/dataset/crashd","name":"CrashD","full_name":null,"description_markdown":"CrashD is a test benchmark for the robustness and generalization of 3D object detection models. It contains a wide range of out-of-distribution vehicles, including damaged, classic, and sports cars.","description_withheld":null,"homepage":"https://crashd-cars.github.io/","introduced_date":"2021-12-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/3d-vfield-learning-to-adversarially-deform","title":"3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection","first_author":"Alexander Lehner","url":null},"license":null,"modalities":[],"tasks":[{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"}],"languages":[],"variants":["CrashD"],"data_loaders":[],"num_papers_in_archive":4,"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."}