{"url":"/dataset/imagenette","name":"Imagenette","full_name":"Imagenette","description_markdown":"**Imagenette** is a subset of 10 easily classified classes from Imagenet (bench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).\n\nSource: [https://github.com/fastai/imagenette](https://github.com/fastai/imagenette)\nImage Source: [https://docs.fast.ai/tutorial.imagenette.html](https://docs.fast.ai/tutorial.imagenette.html)","description_withheld":null,"homepage":"https://github.com/fastai/imagenette","introduced_date":"2020-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/fastai-a-layered-api-for-deep-learning","title":"fastai: A Layered API for Deep Learning","first_author":"Jeremy Howard","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"French","url":"/datasets/language/french"}],"variants":["Imagenette"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/Pankajric22/test","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/frgfm/imagenette","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/imagenette","frameworks":["tf","jax"]},{"repo":"https://github.com/fastai/imagenette","url":"https://github.com/fastai/imagenette","frameworks":[]}],"num_papers_in_archive":38,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-imagenette","task":"Image Classification","dataset_variant":"Imagenette","rows":2,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"µ2Net+ (ViT-L/16)","paper":"/paper/a-continual-development-methodology-for-large","metrics":{"Accuracy":"100"},"code_links":[{"title":"google-research/google-research","url":"https://github.com/google-research/google-research/tree/master/muNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-continual-development-methodology-for-large","title":"A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems","date":"2022-09-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/smoothnets-optimizing-cnn-architecture-design","title":"SmoothNets: Optimizing CNN architecture design for differentially private deep learning","date":"2022-05-09","rows_on_this_dataset":1,"code_links":1,"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."}