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.本数据集包含用于光照校正研究的皮肤科微距摄影图像。 这些图像涵盖各类真实场景下的光照伪影，包括阴影、眩光、光照不均以及局部过曝/欠曝区域。上述特性使得本数据集适用于基于深度学习的光照校正模型的训练与评估。 原始临床图像采集自**滑铁卢大学皮肤癌数据集（Skin Cancer Dataset – University of Waterloo）**与**MED-NODE（黑色素瘤检测）数据集（MED-NODE (Melanoma Detection) Dataset）**。所有图像均经过预处理、精选整理与标准化处理，以确保实验所用图像的格式与质量统一。