Skin cancer is the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of skin lesions using images is a challenging task owing to the fine-grained variability in the appearance of skin lesions.the HAM10000 ("Human Against Machine with 10000 training images") dataset.It consists of 10015 dermatoscopicimages which are released as a training set for academic machine learning purposes and are publiclyavailable through the ISIC archive. This benchmark dataset can be used for machine learning and for comparisons with human experts.