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.