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A newer version of the Gradio SDK is available: 6.20.0

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metadata
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