YOLO: Real-Time Object Detection

Spothole (Citizen App) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution

Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)

Undergraduate Thesis/Project on Realtime Potholes Detection

Vehical Diagnostic - Low Cost Hardware and Open Source Algorithm using Mobile Phone Sensor Data, ODB2 Vehicle Data, Camera Information

The service in the android app detects the potholes using accelerometer and sends it to the server and is fetched back and shown to all users on a map view

Street Sense: Learning from Google Street View

Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.

Created This Tensorflow based Machine Learning Model in a Hackathon called ACCELATHON {http://bit.do/accelathon} for a social initiative against Potholes and Garbage in the Cities. This model can detect garbage and potholes very easily.

New Orleans Potholes

Web application and service layer in NodeJs for Rocontasa

its a javascript web app to count the potholes that all of us encounter on daily basis

A service for people to report the potholes in their area. It is a telegram service bot wherein you can report the image and location of the pothole. The complaint will be lodged. The admin also gets the severity of the pothole and can act accordingly. It was built using Telegram Bot Api, Flask and Deep Learning

The code behind the interactive visualization of Philadelphia's recent history of paving and potholes

Pothole Detection using Faster-RCNN and YOLO v3

Website for McHacks Pothole Finder app

Road Quality Crowd Sourcing and Montoring using onboard smartphone sensors.

Street Quality Mapper - A web app that consists of a complete map of the street quality surface of a city and gives a bird's eye view of the roads, enabling the administrator to keep an eye on the state of roads in real time and take informed decisions to improve the road condition.

Flask based backend application designed to provide RESTful API services to facilitate registration, login, reporting, and analytics of pothole data that has been collected. University of the West Indies, STA, Computer Science, Final Year Project.