Digital Transformation of Agriculture and Animal Science

Lightweight Classification of Canine Eye Diseases

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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.

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), 278-281. doi: https://doi.org/10.34749/3061-1466.2026.38