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firebase.google.com docs › android › learn-more

Understand Firebase for Android

As you're developing your Android project using Firebase, you might discover concepts that are unfamiliar or specific to Firebase. This page aims to answer those questions or point you to resources to learn more. If you have questions about a topic not covered on this page, feel free to visit one...

Save: Understand Firebase for Android
firebase.google.com docs › ml-kit › detect-faces

Face Detection  |  ML Kit for Firebase

With ML Kit's face detection API, you can detect faces in an image, identify key facial features, and get the contours of detected faces. With face detection, you can get the information you need to perform tasks like embellishing selfies and portraits, or generating avatars from a user's photo....

Save: Face Detection  |  ML Kit for Firebase
firebase.google.com docs › web › module-bundling

Using module bundlers with Firebase  |  Firebase for web platforms

JavaScript module bundlers can do many things, but one of their most useful features is the ability to add and use external libraries in your code base. Module bundlers read import paths in your code and combine (bundle) your...

firebase.google.com docs › hosting › i18n-rewrites

Configure internationalization (i18n) rewrites  |  Firebase Hosting

Use internationalization rewrites ("i18n rewrites") to serve different content depending on a user's country or preferred language. Here are some example configurations that you could set up: Serve the same French content to all users who prefer French (regardless of country). Example: a homepage...

firebase.google.com docs › ml › manage-hosted-models

Deploy and manage custom models  |  Firebase ML

You can deploy and manage custom models and AutoML-trained models using either the Firebase console or the Firebase Admin Python and Node.js SDKs. If you just want to deploy a model and occasionally update it, it's usually simplest to use the Firebase console. The Admin SDK can be helpful when...

firebase.google.com docs › perf-mon › get-started-web

Get started with Performance Monitoring for web  |  Firebase Performance Monitoring

Add Firebase to your JavaScript project to learn how to: Create a Firebase project Register your web app with Firebase Note that when you add Firebase to your app, you might complete some of the steps described later on this page (for...

firebase.google.com docs › crashlytics › velocity-alerts

Customize velocity alerts  |  Firebase Crashlytics

Use velocity alerts to notify your team when any individual issue is causing an urgent problem in your app. For Crashlytics, an issue is a grouping of similar crashes. What triggers an alert? Velocity alerts are triggered when an issue in...

firebase.google.com docs › perf-mon › console

Monitoring performance data in the console  |  Firebase Performance Monitoring

To view real-time performance data, make sure that your app uses a Performance Monitoring SDK version that's compatible with real-time data processing. Learn more about real-time performance data. Track key metrics in your dashboard To learn how your key metrics are trending, add them to your...

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