These apps demonstrate how to build an end-to-end user experience with Google ML Kit APIs and following the new Material for ML design guidelines.
The goal is to make it as easy as possible to integrate ML Kit into your app with an experience that has been user tested.
You can open each of the following apps as an Xcode project, and run them on a mobile device or a simulator. Simply install the pods and open the .xcworkspace file to see the project in Xcode.
$ pod install --repo-update
$ open your-project.xcworkspace
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Object Detection and Tracking: Search using the Object Detection & Tracking API - a complete workflow from object detection to product search in live camera.
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Object detection and Tracking with custom TensorFlow Lite model: Search using a custom TensorFlow Lite model (Example used: Bird recognition model) to detect and recognize objects with a live camera view. This shows how to implement a visual search flow with a custom TensorFlow Lite model.
© Google, 2020. Licensed under an Apache-2 license.