Datasets › ISIC 2017 Task 3

ISIC 2017 Task 3

Introduced by Noel C. F. Codella et al. in 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)1 Jan 2018 archive 2025-07-28

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).

Source: https://challenge.isic-archive.com/landing/2017/42 Image Source: https://challenge.isic-archive.com/landing/2017/44

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Lesion Segmentation

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images Medical

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

ISIC 2017 Task 3

1 variant name, as the archive lists them.

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