Fig. 1
From: Acquire continuous and precise score for fundus image quality assessment: FTHNet and FQS dataset
Examples of the Fundus Quality Score (FQS) dataset. In the FQS dataset, each fundus image has two labels: a three-level classification label (good, reject, and usable) and a continuous MOS varying from 0 to 100. Our FQS dataset covers the most common degradation types in clinical diagnoses, such as out-of-focus blur, haze, uneven illumination, and over-darkness.
