Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.
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Updated
Aug 5, 2024 - Jupyter Notebook
Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.
this android application was a part of my mobile computing course at IIITD
🛣️ Identify roadway errors and improvement areas from images.
Classification of traffic accident severity in Quebec
Source Code for Random Forest Accident Severity Prediction Modelling
Road collision data for the United States
World Data League Stage 3 submission. Predicting Road Safety in Lisbon with YOLOv5 and visualizing results in deck-gl.
Road collision data for France
Road collision data for Canada
Road collision data for the UK
This project focuses on deriving insights from Irish road safety data from 2005 to 2012
prototype system that helps to recognize hand gesture to normal people in order to communicate more effectively with the specially disabled people
This repository hosts the official promotional website for the RoadVisor project, an innovative AR navigation application designed to enhance the driving experience. The website provides detailed information about the project, its features, the team behind it, and more.
A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.
Road Surface Condition Monitoring System Utilizing Motorcycle
Road collisions of Ireland
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