{"url":"/dataset/imagenet-64","name":"ImageNet-64","full_name":null,"description_markdown":"Imagenet64 is a massive dataset of small images called the down-sampled version of Imagenet. Imagenet64 comprises 1,281,167 training data and 50,000 test data with 1,000 labels.\r\n\r\nSource: [A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets](https://arxiv.org/abs/1707.08819v3)\r\nImage Source: [https://patrykchrabaszcz.github.io/Imagenet32/](https://patrykchrabaszcz.github.io/assets/img/Imagenet32/64x64.png)","description_withheld":null,"homepage":"https://patrykchrabaszcz.github.io/Imagenet32/","introduced_date":"2017-07-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-downsampled-variant-of-imagenet-as-an","title":"A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets","first_author":"Patryk Chrabaszcz","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["ImageNet-64"],"data_loaders":[],"num_papers_in_archive":35,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-imagenet-64","task":"Image Classification","dataset_variant":"ImageNet-64","rows":1,"metrics":["Top 1 Error"],"first_row_in_archive_order":{"model":"WRN (N=36, k=5)","paper":"/paper/a-downsampled-variant-of-imagenet-as-an","metrics":{"Top 1 Error":"32,34%"},"code_links":[{"title":"BayesWatch/cinic-10","url":"https://github.com/BayesWatch/cinic-10"},{"title":"PatrykChrabaszcz/Imagenet32_Scripts","url":"https://github.com/PatrykChrabaszcz/Imagenet32_Scripts"},{"title":"ZilinGao/GM-SOP","url":"https://github.com/ZilinGao/GM-SOP"},{"title":"Prev/downsampled-imagenet-path-fixer","url":"https://github.com/Prev/downsampled-imagenet-path-fixer"},{"title":"attaullah/Pretraining-WideResNet","url":"https://github.com/attaullah/Pretraining-WideResNet"},{"title":"curryandsun/AIOL","url":"https://github.com/curryandsun/AIOL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-downsampled-variant-of-imagenet-as-an","title":"A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets","date":"2017-07-27","rows_on_this_dataset":1,"code_links":6,"syntology":null}],"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."}