YOLO11 Class-Wise Vehicle Detection, Tracking, and Counting Tutorial

In this step-by-step tutorial, you will learn how to perform class-wise vehicle detection, tracking, and counting using YOLO11, BoT-SORT, and ByteTrack. This guide shows you how to detect different types of vehicles (cars, trucks, buses, bikes, etc.), track each object across frames, and count them individually to extract powerful traffic analytics. This tutorial is ideal for traffic monitoring, smart city applications, vehicle flow analysis, and anyone interested in modern computer vision systems. 🔥 What You Will Learn ✔ Vehicle detection using YOLO11 (YOLOv8 supported too) ✔ Class-wise object tracking with BoT-SORT & ByteTrack ✔ Counting vehicles by category ✔ Drawing tracking IDs and counts on frames ✔ Real-time analytics and visualization ✔ Full Python + OpenCV implementation 🔗 GitHub Repository Complete code, models & resources: https://github.com/codewithaarohi/YOLO11-Class-Wise-Vehicled-detection--tracking-and-counting 📧 Contact If you have any questions or need assistance: Email: aarohisingla1987@gmail.com #yolo11 #objecttracking #vehicletracking #vehiclecounting #botsort #bytetrack #trafficanalysis #computervision #machinelearning #deeplearning #smartcity #ai #datascience