Abstract

A key use of deep learning technology is object detection assistance for deep learning. It is distinguished by its strong feature learning power and illusion when compared to object detection techniques. The paper first introduces object detection techniques and goes into detail on deep learning techniques for object detection. Next, it presents the appearance of the This article discusses deep learning-based object identification techniques and outlines the most widely used techniques in this field today. The paper examines the model performance in real-time and the detection accuracy, with a particular emphasis on the framework design and the models' underlying principles, as stated in the techniques section.