This is a simple Cassava Leaf disease image classification web application, using both Streamlit and PyTorch.
This app is designed for the purpose to help farmers with their Cassava crops problem with Data Science. They can just take a picture of their Cassava leaf and use it with this app to be classified if it is healthy or it is infected with a particular disease. That will be important to them to know what kind of prevention can be taken to save their entire crop if it is infected.
- Train model
- Install Streamlit
- Build UI
- Build Model inference
- Test Results
- Next Steps
I have chosen the Resnext50 model to perform classification using the weight of the trained model.
pip install -r requirements.txt