{"url":"/dataset/industry-biscuit-cookie-dataset","name":"Industry Biscuit (Cookie) dataset","full_name":"Industrial style dataset for the anomaly detection","description_markdown":"The Industrial Biscuits (Cookie) dataset is our internal dataset designed for the anomaly detection task, which captures Tarallini biscuits. It contains 1225 samples in four classes with the following structure:\r\n\r\n* No defect (474 captions)\r\n* Defect: not complete (465 captions)\r\n* Defect: strange object (158 captions)\r\n* Defect: color defect (128 captions)\r\n\r\nAll classes can be seen in fig. 1. In order to augmentate the dataset we rotated each sample by 90° for three times, so the augmented dataset contains 4900 captures in total. Augmented images were cropped to the size of their bounding boxes, the source samples remained uncropped in the original dataset.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/imonbilk/industry-biscuit-cookie-dataset/versions/1","introduced_date":"2022-04-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/feature-space-reduction-as-data-preprocessing","title":"Feature space reduction as data preprocessing for the anomaly detection","first_author":"Simon Bilik","url":null},"license":{"name":"GNU General Public License v3.0","url":null},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Czech","url":"/datasets/language/czech"}],"variants":["Industry Biscuit (Cookie) dataset"],"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."}