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Pizza Detector Demo with Image Labeling


In this app, we use the Image Labeling API by Fritz in order to build a pizza identifier similar to Domino's Points for Pies feature.

For the full tutorial, visit our post on Heartbeat.

There are 2 projects to help you get started:

  • Starter app - The bare bones app you should use to get started with the tutorial.
  • Final app - The finished app displaying an animation when a pizza is detected.

Choose an app and run it in Xcode.

Fritz AI

Fritz AI is the machine learning platform for iOS and Android developers. Teach your mobile apps to see, hear, sense, and think. Start with our ready-to-use feature APIs or connect and deploy your own custom models.


  • Xcode 10.2 or later.
  • Xcode project targeting iOS 10 or above. You will only be able to use features in iOS 11+, but you still can include Fritz in apps that target iOS 10+ and selectively enable for users on 11+.
  • Swift projects must use Swift 4.1 or later.
  • CocoaPods 1.4.0 or later.

Getting Started

Step 1: Create a Fritz AI Account

Sign up for a free account on Fritz AI in order to get started.

Step 2: Clone / Fork the fritz-examples repository and open FritzPizzaDetectorDemo (Starter or Final folder)

git clone

Step 3: Setup the project via Cocoapods

Install dependencies via Cocoapods by running pod install from fritz-examples/iOS/FritzPizzaDetectorDemo/Starter

cd fritz-examples/iOS/FritzPizzaDetectorDemo/Starter
pod install
  • Note you may need to run pod update if you already have Fritz installed locally.

Step 4: Open up a new XCode project

XCode > Open > FritzPizzaDetectorDemo.xcworkspace

Step 5: Run the app

Attach a device or use an emulator to run the app. If you get the error "Please download the Fritz-Info.plist", you'll need to register the app with Fritz (See Step 2).


Fritz Docs Home

iOS SDK Reference Docs

Join the community

Heartbeat is a community of developers interested in the intersection of mobile and machine learning. Chat with us in Slack and stay up to date on the latest mobile ML news with our Newsletter.


For any questions or issues, you can:

  • Submit an issue on this repo
  • Go to our Help Center
  • Message us directly in Slack
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