Research on unexploded grenade target recognition algorithm based on YOLOv5

Abstract

In recent years, target recognition has been applied more and more in the military field, which plays a vital role in military information intelligence, so the research on target recognition of unexploded grenade has great practical significance and military value. Based on deep learning, this paper enhances the data by rotating, clipping, adjusting brightness, etc., increases the sample size and diversity of the dataset, and then verifies through experiments, and the results show that the improved method can effectively identify unexploded grenade targets in real time.