A QGIS module to handle road signs and respecting the Swiss norm

This project focuses on classifying traffic signs using the GTSRB dataset, a key challenge for autonomous driving systems. The repository includes data exploration, model training, and evaluation.

Test that demonstrates the possibility of reading road signs using only paddleocr and a few opencv instructions. The reading quality seems acceptable

The repository for the course CEF440: INTERNET PROGRAMMING (J2EE) AND MOBILE PROGRAMMING

Prediction road signs by computer vision

Raccolta quiz patente B

RTSD System can detect traffic signs 🚩 along the road. This project aims to enable self-driving cars 🚗 to see and interact with the road signs.

Font which used for road signs in USSR and Russia

This a traffic signs classification using cnn and compter vision

App for polish road sign detection and classification & data labeling

Application of convolutional neural networks and machine learning to recognize traffic signs based on images.

traffic sign detection using ML

YOLOv5 object detection based Road sign detection

dataworkshop

Prediction road sign by computer vision

Road object detection on Berkeley DeepDrive (BDD) 100k images with a total of 10 classes.

Prediction road sign by computer vision

Building a neural network to classify 43 different types of German traffic sign