{"url":"/dataset/pose-agnostic-anomaly-detection-dataset","name":"PAD Dataset","full_name":"Pose-agnostic/Multi-pose Anomaly Detection Dataset","description_markdown":"Multi-pose Anomaly Detection (MAD) dataset, which represents the first attempt to evaluate the performance of pose-agnostic anomaly detection. The MAD dataset containing 4,000+ highresolution multi-pose views RGB images with camera/pose information of 20 shape-complexed LEGO animal toys for training, as well as 7,000+ simulation and real-world collected RGB images (without camera/pose information) with pixel-precise ground truth annotations for three types of anomalies in test sets. Note that MAD has been further divided into MAD-Sim and MAD-Real for simulation-to-reality studies to bridge the gap between academic research and the demands of industrial manufacturing.","description_withheld":null,"homepage":"https://github.com/EricLee0224/PAD","introduced_date":"2023-10-11","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Unsupervised Anomaly Detection","url":"/task/unsupervised-anomaly-detection","datasets_with_task":"/datasets/task/unsupervised-anomaly-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PAD Dataset"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/anomaly-detection-on-pad-dataset","task":"Anomaly Detection","dataset_variant":"PAD Dataset","rows":2,"metrics":["Detection AUROC","Segmentation AUROC"],"first_row_in_archive_order":{"model":"SplatPose","paper":"/paper/splatpose-detect-pose-agnostic-3d-anomaly","metrics":{"Detection AUROC":"93.9","Segmentation AUROC":"99.5"},"code_links":[{"title":"m-kruse98/splatpose","url":"https://github.com/m-kruse98/splatpose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/splatpose-detect-pose-agnostic-3d-anomaly","title":"SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection","date":"2024-04-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pad-a-dataset-and-benchmark-for-pose-agnostic-1","title":"PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection","date":"2023-10-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":10,"samples_ran":10,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":10,"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."}