https://github.com/ali-el-badry/pothole-detection

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.
https://github.com/ali-el-badry/pothole-detection

deep-learning deep-neural-networks object-detection pothole-detection potholes yolo

Last synced: 29 days ago
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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.

• Host: GitHub
• URL: https://github.com/ali-el-badry/pothole-detection
• Owner: Ali-EL-Badry
• Created: 2024-11-16T19:06:39.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-16T19:37:35.000Z (about 2 months ago)
• Last Synced: 2024-11-16T20:23:48.734Z (about 2 months ago)
• Topics: deep-learning, deep-neural-networks, object-detection, pothole-detection, potholes, yolo
• Language: Jupyter Notebook
• Homepage:
• Size: 17.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pothole Detection 🚗💥

This project uses **YOLO (You Only Look Once)** 🧠 for detecting potholes in road surfaces using computer vision. The model analyzes images and videos to identify potholes, helping improve road safety 🚧, support infrastructure maintenance 🛠️, and enhance autonomous vehicle navigation 🚙.

## Features ✨

- **Real-time pothole detection** on images and video streams 🎥📸.

- **Pretrained YOLO models** (YOLOv5, YOLOv8) for accurate and fast pothole detection ⚡.

- **Custom pothole detection dataset** built from real-world images to ensure diverse conditions 🛣️.

## Technologies 💻

- **Languages**: Python 🐍

- **Libraries**: 

    - **OpenCV** (`cv2`): For image processing and video stream analysis 🎥.

    - **PyTorch** (`torch`): Deep learning framework used for training and inference 💻.

    - **ElementTree** (`xml.etree.ElementTree`): For parsing XML data 📑.

    - **YAML**: For handling configuration files 📄.

    - **OS** and **Shutil**: For file and directory manipulation ⚙️.

  

  The core object detection is done using **YOLO** (v5, v8) 🔍.

- **Notebook**: The main work is done in the Jupyter Notebook: [Potholes_image_Detection.ipynb](Potholes_image_Detection.ipynb)

## Installation ⚙️

1. Clone the repository:

   ```bash

   git clone https://github.com/Ali-EL-Badry/Pothole-Detection.git