traffic-sign-detection and traffic-signs
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-signs
alexstaravoitau/traffic-signs
Building a CNN based traffic signs classifier.
This project helps classify German traffic signs from images. You input photos of traffic signs, and it tells you which type of sign each image contains, such as a 'No Entry' or 'Priority Road' sign. It is designed for anyone working with automated driving systems or analyzing road signage data.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work