Identifying Potential Historic Sheep Dip Locations in Southland using Generative AI
Jessie Lindsay, Dr Christopher J. Bateman, Jessica Slaney, Adam R Lyness
We present a cost-effective few-shot classification methodology applied to identifying historic sheep dip locations. Using AI foundation model features (DINOv2) and multi-modal large language model (GPT-4o) prompt engineering we can efficiently locate probable sites using only a small set of reference data – without finetuning underlying models.