road-signs

Font which used for road signs in USSR and Russia

Road Directional Sign Generator with Hong Kong Standard

Raccolta quiz patente B

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

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

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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

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.

App for polish road sign detection and classification & data labeling

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

Traffic sign recognition AI-Model.

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.

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

A real-time vehicle detection and alert system for improving driver safety on narrow, curved, and inclined roads through autonomous inter-post communication and intelligent traffic prioritization.

Project "Transformation" - "Matrix" PART. 3

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

Analiza znakow by computer vision

Prediction road signs by computer vision