Automated detection and classification of wildlife targets in digital aerial imagery

This study is an 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.

USD: $892,505

2019-10-01 → 2024-10-31