KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets. Extensive datasets require substantial resources both for generating publishable content and annotating it accurately. We present a systematic and scalable approach to creating KonIQ-10k, the largest IQA dataset to date, consisting of …