YOLO: Real-Time Object Detection
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Updated
Aug 21, 2019 - Makefile
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
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
Vehical Diagnostic - Low Cost Hardware and Open Source Algorithm using Mobile Phone Sensor Data, ODB2 Vehicle Data, Camera Information
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.
A deep learning-based project for detecting potholes in road surfaces using computer vision. Utilizes YOLO models for accurate, real-time pothole detection from images and videos, with a custom dataset and data augmentation techniques. Ideal for applications in road maintenance, autonomous vehicles, and insurance assessments.
The code behind the interactive visualization of Philadelphia's recent history of paving and potholes
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
Pothole Detection using Faster-RCNN and YOLO v3
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.
android application for detecting potholes using sensors in a smartphone
Website for McHacks Pothole Finder app
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