traffic-sign-detection and Traffic-Sign-classifier-with-Deep-Learning
Detection and classification are complementary stages in a traffic sign understanding pipeline—the first tool identifies where signs are located in images, while the second classifies what type of sign each detected region contains.
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-classifier-with-Deep-Learning
neerajd12/Traffic-Sign-classifier-with-Deep-Learning
Classify traffic signs with Artificial neural networks
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