| --- |
| title: CropGuard Plant Disease Detection |
| emoji: 🌱 |
| colorFrom: green |
| colorTo: blue |
| sdk: gradio |
| sdk_version: 5.47.0 |
| app_file: app.py |
| pinned: false |
| license: apache-2.0 |
| --- |
| |
| # CropGuard - Plant Disease Detection |
|
|
| This is a plant disease classification system using a ResNet-9 model trained on the PlantVillage dataset. |
|
|
| ## Features |
| - Detects diseases in 38 different plant categories |
| - Supports multiple plant types: Apple, Corn, Tomato, Potato, Grape, and more |
| - Real-time prediction with confidence scores |
| - User-friendly web interface |
|
|
| ## Usage |
| Simply upload an image of a plant leaf, and the model will predict the disease (if any) with confidence scores. |
|
|
| ## Model Details |
| - Architecture: ResNet-9 |
| - Dataset: PlantVillage |
| - Classes: 38 plant disease categories |
| - Input: 256x256 RGB images |
