{"url":"/dataset/imagenet-vipriors-subset","name":"ImageNet VIPriors subset","full_name":null,"description_markdown":"The training and validation data are subsets of the training split of the Imagenet 2012. The test set is taken from the validation split of the Imagenet 2012 dataset. Each data set includes 50 images per class.","description_withheld":null,"homepage":"https://vipriors.github.io/challenges/","introduced_date":"2021-03-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/vipriors-1-visual-inductive-priors-for-data","title":"VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges","first_author":"Robert-Jan Bruintjes","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["ImageNet VIPriors subset"],"data_loaders":[],"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."}