{"url":"/dataset/mini-imagenet-lt","name":"mini-ImageNet-LT","full_name":null,"description_markdown":"mini-ImageNet was proposed by Matching networks for one-shot learning for few-shot learning evaluation, in an attempt to have a dataset like ImageNet while requiring fewer resources. Similar to the statistics for CIFAR-100-LT with an imbalance factor of 100, we construct a long-tailed variant of mini-ImageNet that features all the 100 classes and an imbalanced training set with $N_1 = 500$ and $N_K = 5$ images. For evaluation, both the validation and test sets are balanced and contain 10K images, 100 samples for each of the 100 categories.","description_withheld":null,"homepage":"https://github.com/rahulvigneswaran/TailCalibX","introduced_date":"2021-11-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/feature-generation-for-long-tail","title":"Feature Generation for Long-tail Classification","first_author":"Rahul Vigneswaran","url":null},"license":{"name":"CC BY","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Long-tail Learning","url":"/task/long-tail-learning","datasets_with_task":"/datasets/task/long-tail-learning"}],"languages":[],"variants":["mini-ImageNet-LT"],"data_loaders":[{"repo":"https://github.com/rahulvigneswaran/tailcalibx","url":"https://github.com/rahulvigneswaran/tailcalibx","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/long-tail-learning-on-mini-imagenet-lt","task":"Long-tail Learning","dataset_variant":"mini-ImageNet-LT","rows":1,"metrics":["Error Rate"],"first_row_in_archive_order":{"model":"TailCalibX","paper":"/paper/feature-generation-for-long-tail","metrics":{"Error Rate":"55.27"},"code_links":[{"title":"rahulvigneswaran/tailcalibx","url":"https://github.com/rahulvigneswaran/tailcalibx"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/feature-generation-for-long-tail","title":"Feature Generation for Long-tail Classification","date":"2021-11-10","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":1,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":6,"samples_ran":1,"samples_unverified":5,"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."}