The RSBlur dataset contains pairs of real blurry images and their corresponding ground truth clear images. The RSBlur dataset can be used to generate synthetic blurry images so that detailed analysis of the differences between real and synthetic blur can be performed. The training set, validation set, and test set consist of 8,878, 1,120, and 3,360 blurry images, respectively.