https://github.com/shukur-alom/leaf-diseases-detect

It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
https://github.com/shukur-alom/leaf-diseases-detect

ai artificial-intelligence artificial-intelligence-algorithms artificial-intelligence-projects code deases deep-learning deep-neural-networks disease-classification jupyter leaf leaf-diseases python python3 tensorflow tensorflow2 transfer-learning

Last synced: about 2 months ago
JSON representation

It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.

• Host: GitHub
• URL: https://github.com/shukur-alom/leaf-diseases-detect
• Owner: shukur-alom
• License: mit
• Created: 2021-02-21T16:22:17.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-01-13T16:29:41.000Z (12 months ago)
• Last Synced: 2024-10-13T03:24:42.564Z (2 months ago)
• Topics: ai, artificial-intelligence, artificial-intelligence-algorithms, artificial-intelligence-projects, code, deases, deep-learning, deep-neural-networks, disease-classification, jupyter, leaf, leaf-diseases, python, python3, tensorflow, tensorflow2, transfer-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 55.9 MB
• Stars: 63
• Watchers: 2
• Forks: 15
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Leaf Disease Detection using Deep Learning

![Demo](https://github.com/shukur-alom/leaf-diseases-detect/blob/main/Media/website.gif)

This project is a leaf disease detection system that uses deep learning techniques, including transfer learning, to identify and classify 33 different types of leaf diseases. The model has been trained on a large dataset of images and is designed to help agricultural professionals and enthusiasts diagnose plant diseases in a fast and accurate manner.

## Usage

To use the model for leaf disease detection, follow these steps:

1. Make sure you have a Python environment set up with the necessary libraries installed. You can use the provided requirements.txt file to set up the required dependencies.

```

pip install -r requirements.txt

```

2. Run main.py

```

streamlit run main.py 

```

## Model Details

The leaf disease detection model is built using deep learning techniques, and it uses transfer learning to leverage the pre-trained knowledge of a base model. The model is trained on a dataset containing images of 33 different types of leaf diseases. For more information about the architecture, dataset, and training process, please refer to the code and documentation provided.

## Acknowledgments

We would like to acknowledge the contributions of the open-source community and the creators of the base model that this project builds upon. Your work and support are greatly appreciated.