Set5, Set14 Dataset is a low-complexity single image super-resolution dataset based on non-negative neighborhood embedding. The training set is used for single image super-resolution reconstruction, that is, reconstructing a high-resolution image based on a low-resolution image to obtain more detail information.

This technology has been widely used in computer vision and graphics, medical imaging, security monitoring and other fields.

This dataset was released by the University of Belémi-Pérez and Bell Labs in France in 2012. The related paper is "Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding".