{"url":"/dataset/tiny-imagenet-a","name":"Tiny ImageNet-A","full_name":null,"description_markdown":"Tiny ImageNet-A is a subset of the Tiny ImageNet test set consisting of 3,374 images comprising real-world, unmodified, and naturally occurring examples that are misclassified by ResNet-18. The sampling process of Tiny ImageNet-A roughly follows the concept of [ImageNet-A](https://github.com/hendrycks/natural-adv-examples) introduced by Hendrycks et al. (\"Natural Adversarial Examples\"). For further information on the sampling process visit the original [paper](https://arxiv.org/abs/2408.14131).","description_withheld":null,"homepage":"https://github.com/CeMOS-IS/Robust-Minisets","introduced_date":"2024-08-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/genformer-generated-images-are-all-you-need","title":"GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets","first_author":"Sven Oehri","url":null},"license":{"name":"MIT License","url":"https://github.com/CeMOS-IS/Robust-Minisets?tab=Apache-2.0-1-ov-file"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Robust classification","url":"/task/robust-classification","datasets_with_task":"/datasets/task/robust-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Tiny ImageNet-A"],"data_loaders":[{"repo":"https://github.com/cemos-is/robust-minisets","url":"https://github.com/cemos-is/robust-minisets","frameworks":["pytorch"]}],"num_papers_in_archive":1,"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."}