Explore high-quality datasets for your AI and machine learning projects.
The Tampere 2008 Image Database is an image quality assessment dataset containing 25 reference images and 17 types of distortions, each with 4 severity levels, totaling 1,700 (reference image, distortion type, subjective score) triplets for evaluating and researching image quality.