Skip to content

Latest commit

 

History

History
 
 

mlvision

README.md

ML Kit for Firebase Quickstart

ML Kit for Firebase iOS quickstart demonstrates how to use the various features of ML Kit to add machine learning to your application.

Introduction

Getting Started

  • Add Firebase to your iOS Project.

  • Run the sample on your iOS device or simulator.

  • Choose Photo Library or Photo Camera to see a demo of the following:

    • Recognize text (on-device and in Cloud (sparse, dense, document text))
    • Detect faces (on-device)
    • Scan barcodes (on-device)
    • Label images (on-device, AutoML on-device, in Cloud)
    • Detect and track objects (on-device prominent/multiple, only tacking/with classsification)
    • Recognize landmarks (in Cloud)

  • Choose Video Camera to see a demo of the on-device features:

  • Label images (AutoML)

  • Recognize text

  • Detect faces

    • Detect and track objects (prominent/multiple, only tacking/with classification)

Support

License

Copyright 2019 Google, Inc.

Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.