Monkeypox Skin Images Dataset (MSID)

The latest outbreak of monkeypox has now become a source of concern for healthcare professionals throughout the world. It is essential to have an early diagnosis in order to slow down its rapid progression. For this purpose, we have created a new skin image-based dataset for the detection of monkeypox disease. This dataset consists of four classes: Monkeypox, Chickenpox, Measles, and Normal. All the image classes are collected from internet-based health website sources. The entire dataset has been developed by two students named Diponkor Bala and Md. Shamim Hossain of the Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh, and School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, China respectively.

当前最新的猴痘（Monkeypox）疫情已引发全球医疗卫生从业者的广泛担忧。为延缓其快速传播进程，尽早开展诊断至关重要。为此，我们构建了一个基于皮肤图像的新型猴痘疾病检测数据集。该数据集共包含四个类别：猴痘、水痘（Chickenpox）、麻疹（Measles）以及正常皮肤样本（Normal）。所有类别的图像均采集自互联网健康网站资源。本数据集由两名学生共同完成构建：分别是来自孟加拉国库什蒂亚伊斯兰大学计算机科学与工程系的Diponkor Bala，以及中国安徽省合肥市中国科学技术大学（USTC）计算机科学与技术学院的Md. Shamim Hossain。