Add to ORKGWe designed and created a new image quality database that models diverse authentic image distortions and artifacts that affect images that are captured using modern mobile de-vices. We also designed and implemented a new online crowdsourcing system, which we are using to conduct a very large-scale, on-going, multi-month image quality assessment (IQA) subjective study, wherein a wide range of diverse ob-servers record their judgments of image quality. Our database currently consists of over 320,000 opinion scores on 1,163 authentically distorted images evaluated by over 7000 hu-man observers. The new database will soon be made freely available for download and we envision that the fruits of our efforts will provide researchers with a valuabl...