Object Detection Algorithms - A Review

Abstract

Over several decades, traffic engineers have persistently focused on implementing various measures to enhance the safety of drivers and pedestrians amidst the growing traffic on streets worldwide. This pressing concern stems from the continuous growth in vehicles, pedestrians, and road density. However, with the remarkable advancements in computational power and the simultaneous reduction in the cost of technical equipment, the integration of object detection has emerged as a viable solution, even in real-time applications within the realm of traffic engineering. However, it is essential to note that the impact of computer technology extends far beyond mobility-related issues. Its wide-ranging influence has permeated diverse fields of interest, including medicine, where it aids in diagnostics and treatments, face recognition systems used for security, industrial automation processes, and even artistic endeavors, where it has opened new frontiers of creativity. This indicates object detection technology's vast potential and versatility, with its ability to revolutionize numerous sectors and bring about meaningful societal advancements. This review outlines the chronological progression of the essential YOLO algorithm, highlighting its significant advancements and developments over the years.