Automatic detection and identification of ground vehicles with YOLO-based deep learning using MuSES-generated OPIR synthetic imagery

Applies YOLO-based deep learning models trained on MuSES-generated synthetic OPIR imagery to automatically detect and identify ground vehicles, demonstrating the utility of synthetic data for developing military target recognition systems.