{"url":"/dataset/isic-2017-task-3","name":"ISIC 2017 Task 3","full_name":"ISIC 2017 Task 3","description_markdown":"The ISIC 2017 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images. The Task 3 challenge dataset for lesion classification contains 2,000 images for training including 374 melanoma, 254 seborrheic keratosis and the remainder as benign nevi (1372).\n\nSource: [https://challenge.isic-archive.com/landing/2017/42](https://challenge.isic-archive.com/landing/2017/42)\nImage Source: [https://challenge.isic-archive.com/landing/2017/44](https://challenge.isic-archive.com/landing/2017/44)","description_withheld":null,"homepage":"https://challenge.isic-archive.com/landing/2017/44","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/skin-lesion-analysis-toward-melanoma","title":"Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)","first_author":"Noel C. F. Codella","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Lesion Segmentation","url":"/task/lesion-segmentation","datasets_with_task":"/datasets/task/lesion-segmentation"}],"languages":[],"variants":["ISIC 2017 Task 3"],"data_loaders":[],"num_papers_in_archive":5,"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."}