Leaf Identication

Goal

The objective of this repository is to understand how to integrate and use machine learning models with Flutter.

What is this project

A Flutter app that detects a type of leaf given a photo of an unknown leaf.

Download APK

You can download the latest version of APK LINK.

How to setup the project

• Clone or download the repository.
• Open it in VSCode or Android Studio
• Go to pubspec.yaml and click on 'Pub get' to download all the dependencies used in project.
• Use and Modify the project as per your choice.

Usage

• On launching the application, you will be presented with the instructions column.
• The application then runs the TFLITE model in the background to get the name of unknown leaf.
• It displays the results on the next screen Suggestions.

Important to note

• The tflite model has been trained to detect only a subset of the leaves. This includes:
  • Apple
  • Grape
  • Peach
  • Pepper
  • Potato
  • Tomato
  • Not Valid
• The size of the dataset was around 5,000 photos which is sufficient enough to make the model recognize selected
• The dataset was taken from KAGGLE.

Contributing

Contributions towards the project are welcome. Specifically:

• The tflite model used can be replaced with a more accurate one/one with more leaves.
• The responsiveness of the application can be improved.
• The app can be trained on a more extensive dataset to include more types of leaves and their diseases.

Project Status

• The requirements I set have been made possible. However, the application can still be improved.
• Additions/improvements can be made as specified in the Contributing section.