Tanks detection and recognition based on custom dataset model

This research explores the field of Artificial Intelligence vision, specifically concentrating on training a You Only Look Once (YOLO) model to recognize military objects, with a focus on tanks. Utilizing the capabilities of deep learning and YOLO’s real-time object detection, the study introduces a comprehensive methodology aimed at improving the precision and effectiveness of identifying military assets. The approach encompasses the compilation of diverse datasets, precise annotation, and the development of a customized training plan to equip the YOLO model with the capability to discern intricate features of tanks across various scenarios. Through meticulous experimentation and refinement, the trained model demonstrates heightened proficiency in real-world situations, opening avenues for advancements in military surveillance, security, and strategic decision-making. The results underscore the potential of AI vision, particularly YOLO, in fortifying defense systems by enabling intelligent and swift recognition of military objects.