Spaces:
Sleeping
Sleeping
File size: 693 Bytes
046ee85 19336a6 03305cd 19336a6 03305cd 19336a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
title: Road Surface Classification
emoji: 🌍
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false
license: mit
---
# Road Surface Classification
This application classifies road surface conditions into four categories:
- Good Condition
- Potholes
- Cracked Road
- Flooded/Muddy
## Models
Multiple model architectures are implemented and compared, including:
- EfficientNet B0
- MobileNet V2
- ResNet-18
- Random Forest (using features extracted from CNNs)
## How to Use
1. Upload a road image
2. Select which model to use (EfficientNet, MobileNet, ResNet, or Random Forest)
3. Click "Classify" to get the prediction and confidence scores |