{"url":"/dataset/ham10000-1","name":"HAM10000","full_name":"HAM10000","description_markdown":"**HAM10000** is a dataset of 10000 training images for detecting pigmented skin lesions. The authors collected dermatoscopic images from different populations, acquired and stored by different modalities.\r\n\r\nSource: [https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000](https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000)\r\nImage Source: [https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000](https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000)","description_withheld":null,"homepage":"https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-ham10000-dataset-a-large-collection-of","title":"The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions","first_author":"Philipp Tschandl","url":null},"license":{"name":"CC BY-NC","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Lesion Segmentation","url":"/task/lesion-segmentation","datasets_with_task":"/datasets/task/lesion-segmentation"},{"name":"Skin Lesion Classification","url":"/task/skin-lesion-classification","datasets_with_task":"/datasets/task/skin-lesion-classification"},{"name":"Lesion Classification","url":"/task/lesion-classification","datasets_with_task":"/datasets/task/lesion-classification"}],"languages":[],"variants":["HAM10000"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/ham10000-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":209,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/lesion-segmentation-on-ham10000","task":"Lesion Segmentation","dataset_variant":"HAM10000","rows":1,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"DermoSegDiff-B","paper":"/paper/dermosegdiff-a-boundary-aware-segmentation","metrics":{"Dice Score":"0.943"},"code_links":[{"title":"mindflow-institue/dermosegdiff","url":"https://github.com/mindflow-institue/dermosegdiff"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semantic-segmentation-on-ham10000","task":"Semantic Segmentation","dataset_variant":"HAM10000","rows":1,"metrics":["Average Dice","Average IOU"],"first_row_in_archive_order":{"model":"MFSNet","paper":"/paper/mfsnet-a-multi-focus-segmentation-network-for","metrics":{"Average Dice":"90.6","Average IOU":"90.2"},"code_links":[{"title":"rohit-kundu/mfsnet","url":"https://github.com/rohit-kundu/mfsnet"},{"title":"hritam-98/MFSNet","url":"https://github.com/hritam-98/MFSNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dermosegdiff-a-boundary-aware-segmentation","title":"DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation","date":"2023-08-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mfsnet-a-multi-focus-segmentation-network-for","title":"MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation","date":"2022-03-27","rows_on_this_dataset":1,"code_links":2,"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."}