To improve road safety, robust traffic sign detection and classification systems are needed with increasing complexity of the urban environments. To introduce a comprehensive solution by employing ...

This project implements a traffic sign classification system using Convolutional Neural Networks (CNNs) with Keras and TensorFlow. The system can identify and categorize various traffic signs from ...

Traffic signs are crucial for road safety and guiding drivers. However, manual recognition can be error-prone, especially for autonomous vehicles. This project aims to automatically detect and ...

We describe the approach that won the preliminary phase of the German traffic sign recognition benchmark with a better-than-human recognition rate of 98.98%.We obtain an even better recognition rate ...