On Device ML with Flutter x TFLite

Demo app which shows on device image classification using TFLite and Flutter

App Structure

• '<app_root>/pubspec.yaml': Used to add packages to the app from pub.dev
• '<app_root>/lib/main.dart': Used for all the logic of the app
• '<app_root>/assets/': used for storing and using TFLite model and label for the app
• '<app_root>/android/app/src/main/AndroidManifest.xml': used for modifying app name and details
• '<app_root>/android/app/build.gradle': used for specifying TFLite model not to be compressed

A few resources to get you started if this is your first Flutter project:

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples

Learn more about TensorFlow Lite and semantic segmentation using it from the links below:

• Official TensorFlow Lite Website

For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.