Military Object Detection with YOLOv8
Real-time multi-class object detection system for military imagery using YOLOv8s.
This project implements a real-time multi-class object detection system for military imagery using YOLOv8s.
Key aspects:
- 12-class military object detection dataset (personnel, vehicles, equipment, aerial/naval)
- Training, evaluation, and inference notebooks for reproducible experiments
- GPU-ready pipeline with ~5ms inference time per image (on supported hardware)
See metrics, dataset details, and training configuration in the project repository.