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YOLOv5 object detection based Road sign detection
Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two
The Road Sign Recognition project is a real-time detection system designed to recognize road signs across 43 different classes. The project leverages the YOLOv5 model, which is trained on the GTSRB - German Traffic Sign Recognition Benchmark dataset.
Neural Network to classify Road Signs based on their images