🚦 Civic Eye — Pothole & Garbage Detection
Civic Eye is an AI-powered computer vision model designed to automatically detect common civic issues from images and video frames.
The model detects two major categories of civic problems:
- 🕳️ Potholes
- 🗑️ Garbage
The model is developed as part of the Civic Eye project, an AI-based civic issue detection system aimed at supporting automated road-condition monitoring, garbage detection, and smart-city applications.
🎯 Model Overview
| Property | Details |
|---|---|
| Model Name | Civic Eye |
| Task | Object Detection |
| Model Architecture | YOLOv8 |
| Framework | Ultralytics |
| Model File | best.pt |
| License | Apache-2.0 |
| Classes | Pothole, Garbage |
| Input | Images / Video Frames |
| Output | Bounding Boxes + Class + Confidence |
| Application | Civic Issue Detection |
🧠 Detection Classes
The model detects the following civic issues:
| Class ID | Class |
|---|---|
0 |
Pothole |
1 |
Garbage |
Note: Class IDs are based on the training configuration. If your
data.yamluses a different class ordering, update the IDs accordingly.
🚀 Installation
Install the Ultralytics package:
pip install ultralytics