{"url":"/dataset/tiny-imagenetv2","name":"Tiny ImageNetV2","full_name":null,"description_markdown":"Tiny ImageNetv2 is a subset of the ImageNetV2 (matched frequency) dataset by Recht et al. (\"Do ImageNet Classifiers Generalize to ImageNet?\") with 2,000 images spanning all 200 classes of the Tiny ImageNet dataset. It is a test set achieved by collecting images of joint classes of Tiny ImageNet and ImageNet. The resized images of size 64×64 consist of images collected from Flickr after a decade of progress on the original ImageNet dataset. The data collection process was designed to resemble the original ImageNet dataset distribution. For further information on ImageNetV2 visit the original GitHub repository of [ImageNetV2](https://github.com/modestyachts/ImageNetV2).","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"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Tiny ImageNetV2"],"data_loaders":[{"repo":"https://github.com/cemos-is/robust-minisets","url":"https://github.com/cemos-is/robust-minisets","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}