Automating the detection and classification of wildlife in aerial imagery by developing a framework to support machine learning techniques

This report presents a collected effort to construct a framework that supports machine learning techniques for wildlife surveys using digital aerial imagery. A robust foundation has been developed to advance both scientific and production-ready applications of Artificial Intelligence/Machine Learning (AI/ML) for wildlife surveys by constructing a data pipeline to handle large image datasets, building an annotation dataset of wildlife targets, and using those annotations within AI/ML processes. This report is a summary of those efforts.