Retinal image based eye disease classification is an important approach to support automated diagnosis in the medical field. This study aims to classify four types of eye diseases normal, cataract, glaucoma, and diabetic retinopathy using Convolutional Neural Network (CNN) models with the InceptionV3 and VGG-16 architectures. The dataset was obtained from the Kaggle platform, consisting of 4,21…