traffic-sign-detection and Traffic-sign-detection-yolov8
About traffic-sign-detection
aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This project provides pre-trained models and code for automatically identifying traffic signs in images or video. It takes raw image data as input and outputs the location and type of traffic signs present. This is designed for researchers and engineers developing advanced driver-assistance systems (ADAS) or autonomous vehicle technology.
About Traffic-sign-detection-yolov8
barzansaeedpour/Traffic-sign-detection-yolov8
In this git repository a light version of our Traffic Sign Detection project is presented.
This project helps improve road safety and traffic flow by automatically identifying traffic signs from camera footage. It takes video or image data as input and outputs the detected traffic signs, their locations, and types, helping to prevent accidents and enhance traffic efficiency. This tool is designed for traffic engineers, smart city planners, and developers of autonomous vehicle systems.
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