This study aims to classify normal and abnormal puncta lacrimal images using deep learning methods and to analyze the impact of data augmentation strategies on model performance. The dataset consisted of 61 images, including 30 normal and 31 abnormal images, which underwent a preprocessing stage by resizing all images to 256 × 256 pixels. Nine deep learning architectures were evaluated, includ…