Object Detection using SSD and Efficient net B7 as base Network

Object detection is the method of recognizing and finding objects in digital images and video frames. Over the years, object detection techniques have made significant advances driven by breakthroughs in large-scale datasets, powerful computing resources, and deep learning architectures. This article provides an overview of target detection, its uses, applications and recent advances in the field.Object detection is an essential component of various real-world applications, like autonomous vehicle driving, military surveillance and radar systems, augmented reality, and robotics. By correctly identifying and finding objects of interest, machines can learn about their surroundings and make intelligent decisions. This article discusses the use of an efficient network as the central network for feature extraction and a single-shot multi-box detector for target detection in order to implement targeted detection.