Neural model for detecting enemy military equipment

A deep neural network model has been developed for automatic detection of enemy military equipment in images and aerial videos (drones, satellites, surveillance cameras).

The model identifies types of equipment (tanks, APCs, artillery, trucks, air defense, etc.), and can be integrated into combat or reconnaissance systems.