BSD is a dataset used frequently for image denoising and super-resolution. BSD100 is the testing set of the Berkeley segmentation dataset BSD300.
DIV2K dataset: DIVerse 2K resolution high quality images as used for the challenges @ NTIRE (CVPR 2017 and CVPR 2018) and @ PIRM (ECCV 2018)
The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing. These images cover diverse contents, including people, objects, environments, flora, natural scenery, etc. Images vary in size, and are typically ~300K pixels in resolution. This dataset was first used for evaluating the perceptual quali...
Set14 is an evaluation dataset with 14 RGB images for the image super resolution task.
Set5 is a evaluation dataset with 5 RGB images for the image super resolution task.
The Urban100 dataset contains 100 images of urban scenes. It commonly used as a test set to evaluate the performance of super-resolution models.