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Mastering Firebase for Android Development

You're reading from  Mastering Firebase for Android Development

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788624718
Pages 394 pages
Edition 1st Edition
Languages
Author (1):
Ashok Kumar S Ashok Kumar S
Profile icon Ashok Kumar S
Toc

Table of Contents (23) Chapters close

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Keep It Real – Firebase Realtime Database 2. Safe and Sound – Firebase Authentication 3. Safe and Sound – Firebase Crashlytics 4. Genie in the Cloud – Firebase Cloud Functions 5. Arsenal for Your Files – Firebase Cloud Storage 6. Not Just a Keeper, Firebase Hosting 7. Inspection and Evaluation – Firebase Test Lab 8. A Smart Watchdog – Firebase Performance Monitoring 9. Application Usage Measuring and Notification, Firebase Analytics, and Cloud Messaging 10. Changing Your App – Firebase Remote Config and Dynamic Links 11. Bringing Everyone on the Same Page, Firebase Invites, and Firebase App Indexing 12. Making a Monetary Impact and Firebase AdMob and AdWords 13. Flexible NoSQL and Cloud Firestore 14. Analytics Data, Clairvoyant, Firebase Predictions 15. Training Your Code and ML Kit 1. Other Books You May Enjoy Index

Vision


ML Kit offers two distinct services. One is for processing images and retrieving the results or any information on the image. The second service is using custom models such as TensorFlow to process the data for the results. 

In ML Kit Vision, we have essential, ready-to-use models, which are listed as follows:

  • Recognizing text
  • Detecting faces
  • Scanning barcodes
  • Labeling images 
  • Recognizing landmarks

Let's explore what it is like to recognize text using ML-Kit.

Recognizing text

ML Kit offers powerful text recognition APIs. It can recognize any Latin-based language on an on-device basis, perhaps more when connected to a cloud. Text recognition can automate numerous data works. Using cloud-based APIs, we can extract text from different documents. Identifying the train schedule by PNR number on the ticket, we can write a model to set a reminder immediately or two hours before train departure, and in many more use cases. 

Since recognizing text offers on-device and cloud-based features, it has a...

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