Using Firebase ML Kit in Flutter

Using Firebase ML Kit in Flutter

Implementing Machine Learning into our Flutter application. Learn how to implement Image Labeling, Text Recognition, Barcode Scanner using ML kit. ML Kit provides us on-Device and Cloud APIs. Image Labeling is a machine learning feature that tells us about the content of an image.


Machine learning is becoming an essential technology as it can predict the possible outcomes. Through machine learning, we can train our machine and we can make it intelligent so that it can also take decision on its own. It is a subset of artificial intelligence.

With ML Kit we can integrate our app with various smart features such as:

  • Text Recognition
  • Face Detection
  • Image Labeling
  • Landmark recognition
  • Barcode scanning

ML Kit provides us on-Device and Cloud APIs. The on-Device process the data without the use of an internet connection, Cloud provides us high-level accuracy with the use of Google Cloud Platform’s machine learning technology.

In this blog, we shall discuss how to implement Image Labeling, Text Recognition, Barcode Scanner using ML kit. Image Labeling is a machine learning feature that tells us about the content of an image.

So let’s start:

To enable the use of ML Kit we need to connect the app with the firebase. We will be using two dependencies firebase_ml_vision: ^0.9.7

for ML Kit and image_picker: ^0.6.7+11 to get the image using a gallery or camera.

Configure Your App

Add the dependencies in your pubspec.yaml

firebase_ml_vision: ^0.9.7
image_picker: ^0.6.7+11

Edit your app/build.gradle

dependencies {
    implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk7:$kotlin_version"
    api ''

Edit your AndroidManifest.xml file

Add the following metadata inside the application section.

    android:value="ica" />

Creating ImagePicker :

  • Initializing File and ImagePicker objects
File _pickedImage;
ImagePicker picker = ImagePicker();
  • pickImage function with default ImageSource
void _pickImage(ImageSource imageSource) async {
  final pickedImageFile = await picker.getImage(
    source: imageSource,

How Image Picker will look like?

We will first create a Container that will display the loaded image and a FlatButton.icon, on tapping the button an AlertDialog Box will appear it will show two options Complete action using Camera or Gallery. We can choose either the them.

  • Creating the Image **Container**
  padding: const EdgeInsets.all(18.0),
  child: ClipRRect(
    borderRadius: BorderRadius.circular(10),
    child: Container(
      color: Colors.orangeAccent.withOpacity(0.3),
      width: MediaQuery.of(context).size.width,
      height: 300,
      child: _pickedImage != null
          ? Image(
              image: FileImage(_pickedImage),
          : Center(
              child: Text("Please Add Image"),
  • Creating a **FlatButton.icon**
  onPressed: () {
        context: context,
        builder: (_) {
          return AlertDialog(
            title: Text(
              "Complete your action using..",
            actions: [
                onPressed: () {
                child: Text(
            content: Container(
              height: 120,
              child: Column(
                children: [
                    leading: Icon(,
                    title: Text(
                    onTap: () {
                    height: 1,
                    leading: Icon(Icons.image),
                    title: Text(
                    onTap: () {
  icon: Icon(Icons.add),
  label: Text(
    'Add Image',

flutter machine-learning firebase programming developer

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