/AndroidLocustDetection

Image classification to identify locust using CNN algorithm with transfer learning . build with python and java.

Primary LanguageJavaMIT LicenseMIT

📗 Table of Contents

: Table of Contents

📖 [ Image-Classification-App-with-Custom-TensorFlow-Model]

This project is called # Image-Classification-App-with-Custom-TensorFlow-Model which is developed for the purpose of identfiying locust from its surrounding and from other insects. It learns the machine using deep learning concept with the use of neural network CNN algorihtm and transfer learning, then deploy the learned model to mobile app by exporting it to TensorFlow Lite.

🛠️ Built With using Html and CSS

Tech Stack

Version Control
Visual Studio Code
Client
### Key Features
  • [ ][Binary classification]
  • [ ][identify locust from others]

🚀 Live Demo

N/a

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💻 Getting Started

Prerequisites

In order to run this project you need: To have a code edtitor like visual strudio, download git control system

Setup

Clone this repository to your desired folder:

git clone https://github.com/beteland123/AndroidLocustDetection.git

Install

Install this project with:git and npm install

Run tests

  • To run tests, run the following command:

  • check the application by scanning the photo if it identify correclty

  • check the accuracy of the model

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👥 Authors

👤 Betel Andarge

🔭 Future Features

  • Add another class to make more classifyer for insects too instead of being binary one as it now

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🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

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⭐️ Show your support

If you like this project email me through my email address...

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🙏 Acknowledgments

I would like to thank my family

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📝 License

This project is MIT licensed.

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