Current artificially distorted image quality assessment (IQA) databases are small in size and limited in content. Larger IQA databases that are diverse in content could benefit the development of deep learning based IQA methods. For this purpose, we created two datasets, the Konstanz artificially distorted image quality database (KADID-10k) and the Konstanz artificially distorted image quality set...