{"url":"/dataset/bottlecap","name":"BottleCap","full_name":null,"description_markdown":"The BottleCap dataset contains over 1100 color images and 7 types of real\r\ndefects. All the images are collected from the real production line\r\nand verified by professionals.","description_withheld":null,"homepage":"https://github.com/YoungGod/DFC","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"}],"languages":[],"variants":["BottleCap"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/anomaly-detection-on-bottlecap","task":"Anomaly Detection","dataset_variant":"BottleCap","rows":1,"metrics":["AUCROC","IOU","AUC(image-level)","AUC-PRO"],"first_row_in_archive_order":{"model":"DFC","paper":"/paper/learning-deep-feature-correspondence-for","metrics":{"AUC(image-level)":"0.941","AUC-PRO":"0.881","AUCROC":"0.971","IOU":"0.289"},"code_links":[{"title":"YoungGod/DFC","url":"https://github.com/YoungGod/DFC"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-deep-feature-correspondence-for","title":"Learning Deep Feature Correspondence for Unsupervised Anomaly Detection and Segmentation","date":"2022-06-27","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}