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Over the past few years, different computer-aided diagnosis (CAD) systemshave been proposed to tackle skin lesion analysis. Most of these systems workonly for dermoscopy images since there is a strong lack of public clinicalimages archive available to design them. To fill this gap, we release a skinlesion benchmark composed of clinical images collected from smartphone devicesand a set of patient clinical data containing up to 22 features. The datasetconsists of 1,373 patients, 1,641 skin lesions, and 2,298 images for sixdifferent diagnostics: three skin diseases and three skin cancers. In total,58.4% of the skin lesions are biopsy-proven, including 100% of the skincancers. By releasing this benchmark, we aim to aid future research and thedevelopment of new tools to assist clinicians to detect skin cancer.

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones