traffic-signs and Traffic-Sign-Detection-Using-CNN
These two tools are competitors, as both aim to build a CNN-based traffic sign classifier using TensorFlow and Keras, offering alternative implementations for the same core task.
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.
About Traffic-Sign-Detection-Using-CNN
MustafaBanatwala04/Traffic-Sign-Detection-Using-CNN
An application built with TensorFlow and Keras for traffic sign detection. Utilizes Convolutional Neural Networks (CNNs) to accurately identify and classify traffic signs from images. Achieved an accuracy of 98.89% on the test dataset. Simply upload images to classify traffic signs. Contributions welcome!
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