{"url":"/dataset/skincon","name":"SkinCon","full_name":"SKIN Concepts Dataset","description_markdown":"**SkinCon** is a skin disease dataset densely annotated by dermatologists. SkinCon includes 3230 images from the Fitzpatrick 17k skin disease (Fitzpatrick Skin Tone) dataset densely labelled with 48 clinical concepts, 22 of which have at least 50 images representing the concept. The concepts used were chosen by two dermatologists considering the clinical descriptor terms used to describe skin lesions. Examples include \"plaque\", \"scale\", and \"erosion\".\r\n\r\nSource: [SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis](https://arxiv.org/pdf/2302.00785v1.pdf)","description_withheld":null,"homepage":"https://SkinCon-dataset.github.io","introduced_date":"2023-02-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/skincon-a-skin-disease-dataset-densely","title":"SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis","first_author":"Roxana Daneshjou","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Interpretable Machine Learning","url":"/task/interpretable-machine-learning","datasets_with_task":"/datasets/task/interpretable-machine-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SkinCon"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}