{"url":"/dataset/apricot","name":"APRICOT","full_name":null,"description_markdown":"APRICOT is a collection of over 1,000 annotated photographs of printed adversarial patches in public locations. The patches target several object categories for three COCO-trained detection models, and the photos represent natural variation in position, distance, lighting conditions, and viewing angle. \r\n\r\nSource: [APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection](/paper/apricot-a-dataset-of-physical-adversarial)\r\nImage Source: [https://apricot.mitre.org/](https://apricot.mitre.org/)","description_withheld":null,"homepage":"https://apricot.mitre.org/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/apricot-a-dataset-of-physical-adversarial","title":"APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection","first_author":"A. Braunegg","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Object Recognition","url":"/task/object-recognition","datasets_with_task":"/datasets/task/object-recognition"},{"name":"Density Estimation","url":"/task/density-estimation","datasets_with_task":"/datasets/task/density-estimation"}],"languages":[],"variants":["APRICOT"],"data_loaders":[],"num_papers_in_archive":8,"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."}