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PiperOrigin-RevId: 346441329
Change-Id: Id631098116a8300c1db385f2f5dfc0b7e58a90f3

Author: Google ML Kit

ios/quickstarts/automl/README.md

@@ -1,14 +1,17 @@
 # ML Kit AutoML Remote Model Quickstart Sample App
 
-## Introduction
-
-This ML Kit AutoML iOS Quickstart app demonstrates how to label images with an AutoML Vision Edge trained model, and also how to download models that are hosted with Firebase.
-
 * [Read more about training an image classification model using AutoML Vision Edge model](https://firebase.google.com/docs/ml/automl-image-labeling)
 * [Read more about hosting models with Firebase Model deployment](https://firebase.google.com/docs/ml/manage-hosted-models)
 
+## Introduction
+
+This ML Kit AutoML iOS Quickstart app demonstrates how to label images with an
+AutoML Vision Edge trained model, and also how to download models that are
+hosted with Firebase.
+
 ## Feature List
 Features that are included in this demo app:
+
 * [AutoML Image labeling](https://developers.google.com/ml-kit/vision/image-labeling/automl/ios) - Label images using an AutoML VisionEdge trained model
 
 <img src="../../screenshots/auto_ml_1.jpeg" width="256"/> <img src="../../screenshots/auto_ml_2.jpeg" width="256"/>
@@ -17,18 +20,20 @@ Features that are included in this demo app:
 
 - [Add Firebase to your iOS Project](https://firebase.google.com/docs/ios/setup).
 - Run the sample on your iOS device or simulator.
-- Choose Photo Library, Photo Camera, or Video Camera to see a demo of labeling images using
-  a model trained by AutoML
+- Choose Photo Library, Photo Camera, or Video Camera to see a demo of labeling
+  images using a model trained by AutoML
 
 ## How to use the app
 
 This app supports two usage scenarios: Live Camera mode and Static Image mode.
 
 ### Live Camera Scenario
-This mode uses the camera preview as input and allows you to label images using a remotely downloaded AutoML Vision Edge model.
+This mode uses the camera preview as input and allows you to label images using
+a remotely downloaded AutoML Vision Edge model.
 
 ### Static Image Scenario
-The static image scenario is identical to the live camera scenario, but instead relies on images fed into the app through the camera roll.
+The static image scenario is identical to the live camera scenario, but instead
+relies on images fed into the app through the camera roll.
 
 
 ## Support