{"url":"/dataset/cytoimagenet","name":"CytoImageNet","full_name":"CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning","description_markdown":"CytoImageNet is a large-scale pretraining dataset of microscopy images (890K, 894 classes). In the paper, CytoImageNet pretraining yielded features competitive to **and different** from ImageNet pretrained features on downstream microscopy tasks.\r\n\r\n* It was constructed from 40 openly available microscopy datasets. \r\n* Weak labels (from experimental metadata) were assigned to each image in the dataset.\r\n* Images are of varying sizes.\r\n\r\nThe primary purpose of the dataset is to be used for pretraining as a pretext task for learning useful bioimage representations. However, it may be used for validation or exploratory analysis.","description_withheld":null,"homepage":"https://github.com/stan-hua/CytoImageNet","introduced_date":"2021-11-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/cytoimagenet-a-large-scale-pretraining","title":"CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning","first_author":"Stanley Bryan Z. Hua","url":null},"license":{"name":"CC0: Public Domain","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"BBBC021 NSC Accuracy","url":"/task/bbbc021-nsc-accuracy","datasets_with_task":"/datasets/task/bbbc021-nsc-accuracy"},{"name":"CYCLoPs Accuracy","url":"/task/cyclops-accuracy","datasets_with_task":"/datasets/task/cyclops-accuracy"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CytoImageNet"],"data_loaders":[],"num_papers_in_archive":2,"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."}