Font which used for road signs in USSR and Russia

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

Raccolta quiz patente B

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

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?

YOLOv5 object detection based Road sign detection

Bicycle road signs generator for Slovakia. Supports IS 40a, IS 40b, IS 40c, IS 40d, IS 40f, IS 40g, IS 40h navigation road signs.

App for polish road sign detection and classification & data labeling

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.

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

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

Project "Transformation" - "Matrix" PART. 3

Analiza znakow by computer vision

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.

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.

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

Prediction road sign by computer vision