Emre Olca

This dataset has been compiled and derived from publicly available dermatological image collections, including the ISIC 2018 Skin Lesion Dataset and the Atlas Dermatology archive. It comprises 49,100 high-resolution, anonymized images categorized into 32 classes, including 31 dermatological diseases and an additional “Unknown” class to improve real-world generalization. Each image is labeled based on expert classification standards and curated for deep learning applications.