Explore real-time traffic analysis using YOLOv8 and ByteTrack for vehicle detection and tracking on aerial images. Learn to harness Python and Supervision to assign cars to specific entry zones and understand their movement direction. Visualize vehicle paths to gain insights into traffic flow across bustling roundabouts. Dive into topics such as vehicle detection on aerial images, object tracking with ByteTrack and Supervision, defining entry and exit zones, assigning vehicles to specific areas, drawing movement paths, and analyzing traffic flow. Access all resources, including the open-source project, through Roboflow's GitHub repository. Enhance your understanding of AI and computer vision applications in traffic management through this comprehensive tutorial.
Traffic Analysis with YOLOv8 and ByteTrack - Vehicle Detection and Tracking
Overview
Syllabus
- Introduction
- Vehicle detection on aerial images using YOLOv8
- Tracking objects using ByteTrack and Supervision
- Defining entry and exit zones
- Assigning vehicles to specific entry zones
- Drawing the path of moving objects
- Analysing traffic flow
- Conclusions
Taught by
Roboflow
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