{"url":"/dataset/large-scale-anomaly-detection","name":"Large-scale Anomaly Detection","full_name":null,"description_markdown":"**Large-scale Anomaly Detection** (LAD) is a database to benchmark anomaly detection in video sequences, which is featured in two aspects. 1) It contains 2000 video sequences including normal and abnormal video clips with 14 anomaly categories including crash, fire, violence, etc. with large scene varieties, making it the largest anomaly analysis database to date. 2) It provides the annotation data, including video-level labels (abnormal/normal video, anomaly type) and frame-level labels (abnormal/normal video frame) to facilitate anomaly detection.","description_withheld":null,"homepage":"http://sim.jxufe.cn/JDMKL/ymfang/anomaly-detection.html","introduced_date":"2021-06-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/anomaly-detection-in-video-sequences-a","title":"Anomaly Detection in Video Sequences: A Benchmark and Computational Model","first_author":"Boyang Wan","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"}],"languages":[],"variants":["Large-scale Anomaly Detection"],"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."}