{"url":"/dataset/anovox","name":"AnoVox","full_name":null,"description_markdown":"AnoVox is a large-scale benchmark for ANOmaly detection in autonomous driving. AnoVox incorporates multimodal sensor data and spatial VOXel ground truth, allowing for the comparison of methods independent of their used sensor. AnoVox contains both content and temporal anomalies.","description_withheld":null,"homepage":"https://zenodo.org/communities/anovox/","introduced_date":"2024-05-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/anovox-a-benchmark-for-multimodal-anomaly","title":"AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving","first_author":"Daniel Bogdoll","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["AnoVox"],"data_loaders":[],"num_papers_in_archive":3,"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."}