Datasets › ISIC 2018 Task 2
ISIC 2018 Task 2
The ISIC 2018 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images. The Task 2 dataset is the challenge on lesion attribute detection. It includes 2594 images. The task is to detect the following dermoscopic attributes: pigment network, negative network, streaks, mila-like cysts and globules (including dots).
Source: Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions Image Source: https://challenge2018.isic-archive.com/task2/
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- ISIC 2018 Task 2
1 variant name, as the archive lists them.
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