Crop Disease Classifier
This is a Gradio application for classifying crop diseases based on images of crop leaves.
The application uses a deep learning model trained with the fastai library.
Model Details
- Architecture: The model is based on the ResNet50 architecture.
- Training Data: The model was trained on a dataset of 20k multi-class crop disease images.
- Purpose: To help identify common crop diseases from images.
How to use
Upload an image of a crop leaf to the interface to get a prediction of the disease.
