traffic-sign-detection and Traffic-Sign-Recognition-Using-YOLO
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-Recognition-Using-YOLO
MDhamani/Traffic-Sign-Recognition-Using-YOLO
Identifying traffic signs in real time using YOLO for autonomous self driving car
This helps autonomous vehicle engineers quickly identify traffic signs from camera feeds in real-time. It takes raw image data from a vehicle's camera and outputs precise identifications of German traffic signs, enabling the vehicle to understand its environment. This tool is for engineers developing and testing self-driving car systems, particularly those working with European road conditions.
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