{"url":"/dataset/imagenet-o","name":"ImageNet-O","full_name":null,"description_markdown":"ImageNet-O consists of images from classes that are not found in the ImageNet-1k dataset. It is used to test the robustness of vision models to out-of-distribution samples. It's reported using the AUPR metric.","description_withheld":null,"homepage":"https://github.com/hendrycks/natural-adv-examples","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/natural-adversarial-examples","title":"Natural Adversarial Examples","first_author":"Dan Hendrycks","url":null},"license":{"name":"MIT","url":"https://github.com/hendrycks/natural-adv-examples/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Outlier Detection","url":"/task/outlier-detection","datasets_with_task":"/datasets/task/outlier-detection"},{"name":"Out of Distribution (OOD) Detection","url":"/task/ood-detection","datasets_with_task":"/datasets/task/ood-detection"}],"languages":[],"variants":["ImageNet-O"],"data_loaders":[{"repo":"https://github.com/hendrycks/natural-adv-examples","url":"https://github.com/hendrycks/natural-adv-examples","frameworks":["pytorch"]},{"repo":"https://github.com/ensta-u2is/torch-uncertainty","url":"https://torch-uncertainty.github.io/","frameworks":["pytorch"]}],"num_papers_in_archive":89,"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."}