[Submitted on 9 Oct 2026]
Title:VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
View a PDF of the paper titled VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation, by Katherine J. Koebel and 35 other authors
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Abstract:VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine through standardized, high-quality datasets and multi-institutional collaboration across academic and non-academic sectors. This framework addresses the gap between AI advances in human medicine and the fragmented state of veterinary AI development.
Subjects:
Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
Cite as: arXiv:2610.14149 [cs.AI]
(or arXiv:2610.14149v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2610.14149
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Katherine Koebel [view email] [v1] Fri, 9 Oct 2026 15:41:38 UTC (1,342 KB)
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View a PDF of the paper titled VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation, by Katherine J. Koebel and 35 other authors
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