Potato Leaf Disease Classification using Deep Learning

This project aims to classify potato leaf diseases using deep learning techniques. We will be using the 'plant-village dataset', which is available on Kaggle Here.

After the model was trained, FastAPI was created.

Overview

This project aims to classify images of potato leaves into one of three categories:

1. Early Blight
2. Late Blight
3. Healthy The project uses Convolutional Neural Networks (CNNs) to train a model to classify the images.

Prerequisites

The following libraries are required to run the notebook:

1. opendatasets
2. split-folders
3. numpy
4. pandas
5. tensorflow
6. matplotlib
7. seaborn
8. scikit-learn
9. keras

For more information please check the source code.