Skip to content

This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The model is capable of detecting cars, buses, trucks, and trains in real-time video streams. This model combines state-of-the-art object detection and tracking techniques.

License

Notifications You must be signed in to change notification settings

MyDarapy/RoadWatch--Car-Detection-and-Tracking-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

car-tracking-and-counting-with-Yolov8-and-DeepSORT

RoadWatch is an object detection and object tracking solution that uses computer vision techniques to recognize and track cars on a busy highway/road. RoadWatch detects, tracks, and counts the number of cars on a busy highway for traffic control and management. This solution can be interacted with using a CLI. We define flags and parameters that help control the behavior of our script.

Avaliable flags in the script:

Requirements for running RoadWatch on CLI:

About

This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The model is capable of detecting cars, buses, trucks, and trains in real-time video streams. This model combines state-of-the-art object detection and tracking techniques.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published