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react-native-firebase/docs/ml-vision/usage/index.md
Elliot Hesp dcd38fbb0b docs: fix broken links
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---
title: ML Kit Vision
description: Installation and getting started with ML Kit Vision.
icon: //static.invertase.io/assets/firebase/ml-kit.svg
next: /ml-vision/text-recognition
previous: /ml-natural-language/usage
---
# Installation
This module requires that the `@react-native-firebase/app` module is already setup and installed. To install the "app" module, view the
[Getting Started](/) documentation.
```bash
# Install & setup the app module
yarn add @react-native-firebase/app
# Install the ml-vision module
yarn add @react-native-firebase/ml-vision
# If you're developing your app using iOS, run this command
cd ios/ && pod install
```
If you're using an older version of React Native without autolinking support, or wish to integrate into an existing project,
you can follow the manual installation steps for [iOS](/ml-vision/usage/installation/ios) and [Android](/ml-vision/usage/installation/android).
# What does it do
ML Kit Vision makes use of Firebase's Machine Learning Kit's [Text Recognition](https://firebase.google.com/docs/ml-kit/recognize-text),
[Face Detection](https://firebase.google.com/docs/ml-kit/detect-faces), [Barcode Scanning](https://firebase.google.com/docs/ml-kit/read-barcodes),
[Image Labeling](https://firebase.google.com/docs/ml-kit/label-images) & [Landmark Recognition](https://firebase.google.com/docs/ml-kit/recognize-landmarks) features.
Depending on the service, it is possible to perform Machine Learning on both the local device or cloud.
<Youtube id="ejrn_JHksws" />
## Support table
The table below outlines the current module support for each available service, and whether they are available on local device,
cloud or both.
| API | Cloud Model | On Device |
| ------------------------------------------------------------------------------------- | ----------- | --------- |
| [Text Recognition](https://firebase.google.com/docs/ml-kit/recognize-text) | ✅ | ✅ |
| [Document Text Recognition](https://firebase.google.com/docs/ml-kit/recognize-text)) | ✅ | |
| [Face Detection](https://firebase.google.com/docs/ml-kit/detect-faces) | | ✅ |
| [Barcode Scanning](https://firebase.google.com/docs/ml-kit/read-barcodes) | | ✅ |
| [Image Labeling](https://firebase.google.com/docs/ml-kit/label-images) | ✅ | ✅ |
| [Landmark Recognition](https://firebase.google.com/docs/ml-kit/recognize-landmarks) | | ✅ |
| [AutoML Vision Edge](https://firebase.google.com/docs/ml-kit/automl-image-labeling) | ❌ | ❌ |
| [Object Detection/Tracking](https://firebase.google.com/docs/ml-kit/object-detection) | ❌ | ❌ |
# Usage
To get started, you can find the documentation for the individual ML Kit Vision services below:
- [Text Recognition](/ml-vision/text-recognition).
- [Landmark Recognition](/ml-vision/landmark-recognition).
- [Barcode Scanning](/ml-vision/barcode-scanning).
- [Image ](/ml-vision/image-labeling).
- [Face Detection](/ml-vision/face-detection).
# firebase.json
## Enabling models
To be able to use the on-device Machine Learning models you'll need to enable them. This is possible by setting the below noted properties
on the `firebase.json` file at the root of your project directory.
```json
// <project-root>/firebase.json
{
"react-native": {
// on device face detection
"ml_vision_face_model": true,
// on device text recognition
"ml_vision_ocr_model": true,
// on device barcode detection
"ml_vision_barcode_model": true,
// on device image labeling
"ml_vision_label_model": true,
"ml_vision_image_label_model": true
}
}
```
The models are disabled by default to help control app size.
Since only models enabled here will be compiled into the application, any changes to this file require a rebuild.
```bash
# For Android
npx react-native run-android
# For iOS
cd ios/ && pod install --repo-update
npx react-native run-ios
```