Eye-related illnesses pose a significant challenge globally, particularly in less developed nations where resources and technological advancements are limited. The strong capability of feature learning of Convolutional Neural Networks (CNN) has led to significant accomplishments in the area of fundus images. By appropriately analyzing fundus images, computer-aided diagnosis can provide doctors with valuable information that can be used for clinical diagnosis or screening purposes. Although there have been studies conducted on detecting a specific fundus disease, accurately and quickly classifying multiple fundus diseases remains a significant challenge.