Uneven Illuminated Dermatological Macro-Photographs Dataset

This dataset contains dermatological macro-photographs used for illumination correction research. The images include various real-world lighting artifacts such as shadows, glare, uneven illumination, and localized over /under-exposed regions. These conditions make the dataset suitable for training and evaluating deep learning–based illumination correction models.
The original clinical images were collected from the **Skin Cancer Dataset – University of Waterloo** and the **MED-NODE (Melanoma Detection) Dataset**. All images were preprocessed, curated, and standardized to ensure consistent format and quality for experimentation.