Understanding MLKit offerings on Android

on YouTube ↗35m

" summary

Covers Firebase ML Kit on Android and iOS, explaining its ready-to-use APIs that package capabilities from Mobile Vision, Google Cloud Vision API, TensorFlow Lite and the Neural Networks API. Focuses on how mobile developers can implement these ML features in apps (e.g., vision and on-device inference) using the ML Kit SDK.

AI-written summary · about

" chapters (19)

1. 0:00Start
2. 4:14Climbing The ML Mountain
3. 5:37Introducing Firebase ML Kit SDK
4. 6:45Features of ML Kit SDK
5. 8:45ML Kit Stack
6. 11:36Ease of switching for predefined ML capabilities
7. 12:36Basic Workflow of ML Kit App
8. 13:06Mechanisms to process the input
9. 14:01Text Recognition Workflow
10. 15:30Text Recognition Demo Using Cloud Vision
11. 18:45Image Labelling Recorded Demo
12. 19:49Types of Barcode Supported
13. 20:35Barcode Scanning Workflow
14. 21:20Landmark Detection Workflow
15. 22:38Landmark Detection Demo
16. 23:14Face Detection Components
17. 24:21Face Detection Features
18. 24:53Face Detection Demo
19. 28:01Custom Models Demo

" related talks

• 47mExploring Firebase MLKit on AndroidHiren Dave · GDG DevFest Ahmedabad 2018
• 04mTop 5 reasons to add ML Kit to your Android or iOS appSachin Kotwani · Firebase Summit 2018
• 24mML Kit: Machine learning for mobile developersSachin Kotwani, Isabella Chen · Firebase Summit 2018
• 29mFirebase MLKit — AI in Android Town!!Sweety Bertilla Francis Xavier · Android Summit 2019
• 30mMachine Learning in Android Apps with ML KitFelipe Pedroso · AndroidFest Campinas 2018
• 38mML Kit: Machine Learning for Mobile with FirebaseChristiaan Prins, Ann Zimmer, Shiyu Hu · Google I/O 2019
• 36mMachine Learning for Mobile DevelopersLaura Morinigo · Mobilization 8
• 14mDo you want an easy way to add Machine Learning into your app?Sandra Dupré · Android Makers 2019