This project implemented a real-time object detection and tracking system
using the YOLOv5 (You Only Look Once version 5) algorithm in conjunction
with OpenCV. The system was designed to identify and track objects in
video streams or camera feeds with high accuracy and speed.
Real-time detection and tracking capabilities
Utilization of the state-of-the-art YOLOv5 model
Integration with OpenCV for image processing and computer vision tasks
