Digital Transformation in Animal and Agricultural Sciences
Authors: Isselmou Abdarahmane (FH Wiener Neustadt) , Peter M. Roth (University of Veterinary Medicine, Vienna)
Eye diseases in dogs are visually similar and difficult to distinguish without profes-
sional examination. Furthermore, assessing the severity of such conditions – and in
particular determining whether immediate veterinary attention is required – poses
a significant challenge for pet owners. To address this problem, we aim to assist
pet owners in performing an initial triage of canine eye conditions with minimal
technical expertise required. Given a photograph of the affected eye taken with a
smartphone, we provide an automated preliminary assessment indicating whether a
veterinary visit is advisable. To this end, we employ a computationally efficient
convolutional neural network (CNN) to classify the images, identifying potential
conditions and reporting the result to the user.
Keywords:
How to Cite: Abdarahmane, I. & Roth, P. (2026) “Lightweight Classification of Canine Eye Diseases”, Proceedings of the Austrian Symposium on AI, Robotics, and Vision. 3(1).