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.

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.

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.

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

Road signs for React, Vue 3, Web Components, CSS sprite and SVG sprite — fully typed TypeScript, zero runtime dependencies

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