Traffic-Sign-classifier-with-Deep-Learning and Traffic-Sign-Detection-Using-CNN
About Traffic-Sign-classifier-with-Deep-Learning
neerajd12/Traffic-Sign-classifier-with-Deep-Learning
Classify traffic signs with Artificial neural networks
This helps classify images of traffic signs, identifying what type of sign is present. It takes in an image of a traffic sign and outputs its classification, such as a 'stop' sign or 'yield' sign. This is useful for engineers and researchers working on autonomous vehicles or smart city infrastructure.
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!
This application helps you identify and classify traffic signs accurately from images. You upload a photo containing a traffic sign, and the system tells you what sign it is. This is ideal for researchers or developers working on real-time traffic sign recognition systems, autonomous vehicles, or advanced driver-assistance systems.
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