Traffic-Sign-Classifier
PublicThis program uses a deep neural network with several convolutional layers to classify traffic signs. The model is able to recognize traffic signs with an accuracy of 96,2%. It was trained and validated using the German Traffic Sign Dataset with 43 classes (types of traffic signs) and more than 50,000 images in total.
adasartificial-intelligenceautonomous-drivingcomputer-visionconvolutional-neural-networksdata-augmentationdeep-learningdeep-neural-networksimage-processingneural-networks
Creat:2020-10-28T01:48:41
Update:2019-05-07T01:12:23
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