A skin lesion hair mask dataset with fine-grained annotations
Description
The largest publicly available skin lesion hair segmentation mask dataset created by carefully annotating 500 copyright-free CC0 licensed dermoscopic images collected from ISIC 2018 dataset [1]. The dataset is organized into three folders namely dermoscopic_image, hair_mask, and overlay. The dermoscopic_image folder contains 500 handpicked dermoscopic images covering different hair patterns. We retained the original names of the image files from the primary image source. The hair_mask folder contains a binary segmentation mask for each of the images of the dermoscopic_image folder. In a segmentaion mask image, white pixels represent skin hair and black pixels represent background. The overlay folder contains hair mask images superimposed on the original dermoscopic images. We provided the superimposed images for easy public verification so that, other people can report any annotation mistakes and contribute to improving the dataset. Images in the hair_mask and overlay folders share the same names as the primary images in the dermoscopic_image folder. [1] Codella N, Rotemberg V, Tschandl P, Celebi ME, Dusza S, Gutman D, et al. Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) 2019. https://doi.org/10.48550/arxiv.1902.03368.
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Funding
European Regional Development Fund
DAPPEM–Av0021029
Mutualité Sociale Agricole