YOLOv11 for Real-Time Class-Wise Vehicle Counting and Tracking

Learn to implement real-time vehicle detection, tracking, and class-wise counting in this 37-minute Python tutorial. Master the implementation of YOLO11 (or YOLOv8) for vehicle detection, combined with BoT-SORT and ByteTrack algorithms for precise object tracking. Discover how to develop a comprehensive system that accurately identifies and counts different vehicle classes including cars, trucks, and buses using Python and OpenCV. Gain practical experience in traffic analysis and smart city applications through step-by-step guidance on integrating deep learning techniques for vehicle monitoring. Access the complete source code on GitHub to build your own vehicle tracking system while learning to visualize and analyze traffic data effectively.