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README

ML Kit for Firebase Quickstart
==============================

The ML Kit for Firebase Android Quickstart app demonstrates how to use the
various features of ML Kit to add machine learning to your application.

**NOTE:** A sample application using the same library, but with a more
sophisticated UI (it uses [Jetpack
Libraries](https://developer.android.com/jetpack) and follows the [Material
Design guidelines for ML](https://material.io/collections/machine-learning/)),
can be found [here](https://github.com/firebase/mlkit-material-android). This
may be helpful when integrating ML Kit into real-world applications.

Introduction
------------

- [Read more about ML Kit for Firebase](https://firebase.google.com/docs/ml-kit/)

Getting Started
---------------

- [Add Firebase to your Android Project](https://firebase.google.com/docs/android/setup).
- Run the sample on an Android device.
- Choose LivePreviewActivity to see a demo of the following APIs:
 - Face detection
 - Text recognition (on-device)
 - Barcode scanning
 - Image labeling (on-device)
 - Landmark recognition
 - Custom model (Labeled "Classification"). The custom model used in this
 sample, MobileNet_v1, is already included as a local asset in the project.
 To use this sample with a hosted model, follow the directions under the
 "Hosting a Custom Model" section of this readme.
- Choose StillImageActivity to see a demo of the following:
 - Image labeling (Cloud)
 - Landmark recognition (Cloud)
 - Text recognition (Cloud)
 - Document text recognition (Cloud)

Result
-----------
<img src="app/src/screen.png" height="534" width="300"/>

Hosting a Custom Model
-----------
- [Download](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz)
 the TensorFlow Lite custom model we are using in this sample.
- Go to the Firebase console.
- Select your project.
- Select ML Kit under the DEVELOP section in the left hand navigation.
- Click on the CUSTOM tab.
- Click on Add another model and use "mobilenet_v1" as the name.
- Click BROWSE and upload the mobilenet_v1_1.0_224_quant.tflite file you
 downloaded earlier.
- Click PUBLISH.

Support
-------

- [Stack Overflow](https://stackoverflow.com/questions/tagged/firebase-mlkit)
- [Firebase Support](https://firebase.google.com/support/).

License
-------

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.