Real-Time Image Object Detection using YOLOv4-Tiny with Python GUI

Abstract

Among the most revolutionary and important areas in computer vision in the past decade is object detection. With the rapid growth in detection algorithms, practical applications in various domains have been feasible. Intelligent surveillance systems, for instance, are able to monitor public spaces in real-time and alert law enforcement of suspicious behavior or potential threats. Autonomous driving and advanced driver-assist systems, for safety and navigation, primarily use object detection to identify vehicles, pedestrians, and roadblocks. Object detection is also employed in medical image analysis in the medical domain to identify abnormalities such as lesions or tumors, aiding in early detection and improving patient care outcomes. Precise object recognition is also beneficial for industrial robots and automating systems, which support efficient sorting, assembling, and inspection tasks in industrial applications.