The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 training images and 1,111 test images. The dataset consists of pairs of a realistic blurry image and the corresponding ground truth sharp image that are obtained by a high-speed camera.
Source: Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networksfor Non-Uniform Single Image Deblurring
Image Source: Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Variants: GoPro linear subset, GoPro
This dataset is used in 4 benchmarks:
Recent papers with results on this dataset: