Potato Leaf Classifier

This is a potato leaf image classifier that analyzes an image of a potato leaf and verifies if it has blight on its leaf.

Link to the training process => https://colab.research.google.com/drive/1CLsvJmSL7myUr1yaUEafFixt90dUlr9V?usp=sharing

Classification

When you input the image, the model will return three possible labels:

• (0) Healthy: Healthy leaf
• (1) Early Blight: Early blight
• (2) Late Blight: Late blight

How to Use

1. Upload the potato leaf image you want to classify in the appropriate section.
2. The model will analyze the image and return the corresponding label.

Example

Send your image below to scan and return the result.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/potato-leaf-classifier.git
   cd potato-leaf-classifier

2. Create and activate a virtual environment (optional, but recommended):

   python -m venv env
   source env/bin/activate  # For Windows: env\Scripts\activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the application:

   streamlit run app.py

Dependencies

• Python 3.7 or higher
• Streamlit
• Matplotlib
• Numpy
• Pandas

Project Structure

potato-leaf-classifier/
│
├── app.py               # Main Streamlit application file
├── requirements.txt     # Project dependencies list
├── README.md            # Project documentation
└── models/              # Directory containing the trained model (if applicable)

Links

Streamlit: https://potatoclassifier.streamlit.app/