LIVE-itw (LIVE In the Wild Image Quality Challenge Database)

Image quality assessment (IQA) databases enable researchers to evaluate the performance of IQA algorithms and contribute towards attaining the ultimate goal of objective quality assessment research - matching human perception. Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, which are not necessarily well-modeled by the synthetic distortions found in existing databases. Our newly designed and created LIVE In the Wild Image Quality Challenge Database, contains widely diverse authentic image distortions on a large number of images captured using a representative variety of modern mobile devices. We also designed and implemented a new online crowdsourcing system, which we have used to conduct a very large-scale, multi-month image quality assessment subjective study. The LIVE In the Wild Image Quality Database has over 350,000 opinion scores on 1,162 images evaluated by over 8100 unique human observers.