Digital Transformation of Agriculture and Animal Science

Lightweight Classification of Canine Eye Diseases

Authors

• • Isselmou Abdarahmane isselmou.abdarahmane@fhwn.ac.at Email Isselmou Abdarahmane. (compose email, opens in email app.)
  • FH Wiener Neustadt
• • Peter M. Roth
  • University of Veterinary Medicine, Vienna

Abstract

Eye diseases in dogs are visually similar and difficult to distinguish without professional 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). doi: https://doi.org/10.34749/3061-1466.2026.38