Pothole Detection Systems ML Frameworks
AI-powered systems for detecting, reporting, and managing road potholes and pavement damage using computer vision and YOLO models. Does NOT include general road damage detection unrelated to potholes, lane detection, or broader infrastructure monitoring without pothole focus.
There are 9 pothole detection systems frameworks tracked. The highest-rated is nirbhayph/spothole.core at 37/100 with 23 stars.
Get all 9 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
nirbhayph/spothole.core
Spothole Core Backend (Object Detection + Flask API) - Artificial... |
|
Emerging |
| 2 |
Wydoinn/Pothole-Detection
This repository contains a pothole detection system using YOLOv8 for... |
|
Emerging |
| 3 |
noorkhokhar99/Pothole-Detection-Pothole-Detection-using-python-and-deep-learning
Pothole Detection || Pothole Detection using python and deep learning |
|
Emerging |
| 4 |
adi-code22/Pothole-Detection
Pothole detection using ML model trained into a Flutter App |
|
Emerging |
| 5 |
Ujjwal2017099/Pothole_Locator
The project aims to develop a robust Pothole Detection System that can... |
|
Experimental |
| 6 |
ReverendBayes/Co-DETR-Car-Damage-Detector
A deep learning–based computer vision training pipeline for car damage... |
|
Experimental |
| 7 |
wargraver/pothole_detection
By using this app users can report the potholes on road by clicking a photo... |
|
Experimental |
| 8 |
Krishankant-Dixit/Pothole-Detection-System
AI-based pothole detection system using computer vision and machine learning |
|
Experimental |
| 9 |
roland045/road_quality_measurement_analysis
Novel road quality measurement system for cost effective pavement... |
|
Experimental |