MSD

MSD is a infrared and visible image dataset collected in real-world road environments. It comprises aligned infrared and visible images captured in multiple scenarios, such as dense fog, dusk, nighttime, intersection, and tunnel. While most existing public infrared and visible image datasets lack sufficient coverage of naturally occurring adverse conditions such as dense fog and dusk, MSD provides multi-modal images captured under real-world dense fog, low-light at dusk, and other scenarios, offering a valuable data option for developing and evaluating image fusion methods in diverse and realistic scenarios. MSD contains 208 visible images and 208 corresponding infrared images, and the infrared and visible images can be utilized to test the performance of infrared and visible image fusion methods or as part of a training set.