Datasets › ISIC2016

ISIC2016 (Lesion Segmentation)

Introduced by David Gutman et al. in Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)4 May 2016 archive 2025-07-28

Lesion segmentation data includes the original image, paired with the expert manual tracing of the lesion boundaries in the form of a binary mask. The Training Data file is a ZIP file, containing 900 dermoscopic lesion images in JPEG format. All images are named using the scheme ISIC_.jpg, where is a 7-digit unique identifier. EXIF tags in the images have been removed; any remaining EXIF tags should not be relied upon to provide accurate metadata. The Training Ground Truth file is a ZIP file, containing 900 binary mask images in PNG format. All masks are named using the scheme ISIC__Segmentation.png, where matches the corresponding Training Data image for the mask. All mask images will have the exact same dimensions as their corresponding lesion image. Mask images are encoded as single-channel (grayscale) 8-bit PNGs (to provide lossless compression), where each pixel is either:

0: representing the background of the image or areas outside the lesion 255: representing the foreground of the image or areas inside the lesion

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Skin Lesion Segmentation ISIC2016 QTSeg ACC 96.41 QTSeg: A Query Token-Based Architecture for Efficient 2D... tpnam0901/QTSeg 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 50. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation 1 1 23 Dec 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

https://creativecommons.org/share-your-work/public-domain/cc0/

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ISIC2016

1 variant name, as the archive lists them.

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