Potato Disease Classification using CNN

A Machine learning Project to demonstrate image Classification.

This project helps us detect potoato disease when image of potato leave is given as input.

Python libraries used

Tensorflow

Matplotlib

Numpy

OS

Installation

Install Jyupter Notebook or use Google Colab

For DATA use Kaggle

Model Training

1.Download the data from kaggle.
2.Keep folders related to Potatoes.
3.Run Jupyter Notebook in Browser.

jupyter notebook
Open training/potato-disease-training.ipynb in Jupyter Notebook.
In cell #2, update the path to dataset.
Run all the Cells one by one.
Copy the model generated and save it with the version number in the models folder.

Contributing

Contributions are always welcome!

1. Report bugs: If you encounter any bugs, please let us know. Open up an issue and let us know the problem.
2. Contribute code: If you are a developer and want to contribute, follow the instructions below to get started.
3. Suggestions: If you don't want to code but have some awesome ideas, open up an issue explaining some updates or improvements you would like to see.
4. Documentation: If you see the need for some additional documentation, feel free to add some.