Multi-Class Skin Disease Image Dataset with Severity Levels

This dataset consists of labeled skin disease images designed for multi-class medical image classification tasks using machine learning and deep learning models. The dataset includes images of Acne and Eczema categorized into three severity levels (Mild, Moderate, and Severe), along with Normal skin images and an additional Xyz class representing miscellaneous. The primary objective of this dataset is to support research in automated skin disease classification, severity assessment, and computer-aided dermatological diagnosis. It can be used for training, validation, and evaluation of convolutional neural networks (CNNs) and transfer learning models. All images are organized into class-wise directories, making the dataset compatible with standard deep learning frameworks such as PyTorch and TensorFlow. This dataset is intended strictly for academic and research purposes and does not replace professional medical diagnosis.本数据集包含标注后的皮肤疾病图像，旨在用于基于机器学习与深度学习模型的多类别医学图像分类任务。 本数据集涵盖痤疮（Acne）与湿疹（Eczema）的图像，并将其划分为轻度（Mild）、中度（Moderate）及重度（Severe）三个严重程度等级，同时包含正常皮肤图像，以及一个用于表示杂类别的额外Xyz类别。 本数据集的核心目标是为自动化皮肤疾病分类、严重程度评估以及计算机辅助皮肤病诊断相关研究提供支撑，可用于卷积神经网络（Convolutional Neural Networks, CNNs）与迁移学习模型的训练、验证与评估。 所有图像均按类别目录进行组织，可兼容PyTorch、TensorFlow等主流深度学习框架。 本数据集仅可用于学术与研究用途，不可替代专业医疗诊断。