Due: Feb 7, 2025
Due: Sep 30, 2026
Due: Jan 23, 2025
Due: Sep 2, 2024
BOEM and its partners are seeking to develop, automate, and enhance the detection and classification of important species in high-resolution aerial imagery by leveraging cutting-edge technologies, such as deep learning computer vision frameworks. This study will develop detection and classification algorithms for protected species using artificial intelligence and machine learning. These algorithms will be used to analyze aerial imagery collected in the Gulf of Mexico by the US Fish and Wildlife Service (USFWS) un...
Single Source Cooperative Agreement with the University of Florida: