Font which used for road signs in USSR and Russia
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Updated
Jun 18, 2023 - Perl
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.
Road Directional Sign Generator with Hong Kong Standard
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
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
Bicycle road signs generator for Slovakia. Supports IS 40a, IS 40b, IS 40c, IS 40d, IS 40f, IS 40g, IS 40h navigation road signs.
Traffic sign recognition AI-Model.
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
🛑 An AI-powered system for recommending road safety interventions based on IRC standards, using Google Gemini API and hybrid RAG search.
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.
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