ANALYSIS OF CHILDREEN'S DRAWINGS

https://black4rts.com https://github.com/develophasan

	Android	iOS	Linux	Mac	Windows	Web
file	✅	✅		✅	✅
life	✅	✅		🚧	🚧

This project is a sample of how to perform Drawings Classification using TensorFlow Lite in Flutter. It includes support for both still images and live camera streams.

Supported platforms

Android-Ios

Download model and labels

To build the project, you must first download the ADC model and its corresponding labels. You can do this by https://teachablemachine.withgoogle.com CREATE MODEL

About the sample

• You can use Flutter-supported IDEs such as Android Studio or Visual Studio. This project has been tested on Android Studio Flamingo.
• Before building, ensure that you have downloaded the model and the labels by following a set of instructions.
• All heavy operations are performed in a separate background isolate.
• This sample supports for still images and live camera streams. You can switch between these modes using the bottom bar.

Still image mode

You have the option to either select an image from your device or capture a new photo to classify.

Live stream mode

The app will classify a continuous stream of image frames captured by the camera.

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