This repo contains a script to classify images between blurred / non-blurred images
CERTH Image Blur Dataset
E. Mavridaki, V. Mezaris, "No-Reference blur assessment in natural images using Fourier transform and spatial pyramids", Proc. IEEE International Conference on Image Processing (ICIP 2014), Paris, France, October 2014.
The dataset consists of undistorted, naturally-blurred and artificially-blurred images for image quality assessment purposes. Download the dataset from here: http://mklab.iti.gr/files/imageblur/CERTH_ImageBlurDataset.zip
Unzip and load the files into a directory named data