Automatic classification of eye diseases (cataract, glaucoma, and diabetic retinopathy) is often constrained by low contrast and illumination bias in retinal fundus images. This research aims to analyze the effect of the Contrast Limited Adaptive Histogram Equalization (CLAHE) method on color space variations to improve the accuracy of the EfficientNet-B0 deep learning architecture. The evaluat…