traffic-sign-detection and TRAFFIC-SIGNS-RECOGNITION

About traffic-sign-detection

aarcosg/traffic-sign-detection

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

This project provides pre-trained models and code for automatically identifying traffic signs in images or video. It takes raw image data as input and outputs the location and type of traffic signs present. This is designed for researchers and engineers developing advanced driver-assistance systems (ADAS) or autonomous vehicle technology.

About TRAFFIC-SIGNS-RECOGNITION

xGodlike0/TRAFFIC-SIGNS-RECOGNITION

PyTorch Traffic Sign Classification: A robust CNN model for accurate traffic sign recognition. This project includes a custom-built CNN using PyTorch, data augmentation techniques for improved accuracy, and a real-time testing feature using a webcam. Ideal for enthusiasts in machine learning and autonomous vehicle technologies.