Top 5 reasons to add ML Kit to your Android or iOS app

on YouTube ↗04m

" summary

ML Kit ships vision APIs for text recognition, face detection, barcode scanning, image labeling, landmark recognition and offers on-device and cloud options. On-device runs locally with low latency and on-device: free, ~400 labels. Cloud gives higher accuracy, cloud: 1,000 free calls/month then paid, ~10,000 labels. Custom TensorFlow Lite models upload to Firebase console for hosting, automatic downloading/updating, and A/B testing via Remote Config plus performance reporting to Firebase Analytics.

AI-written summary · about

" chapters (4)

1. 0:00ML Workflow
2. 1:12Image Labelling
3. 1:43Conversion to TensorFlow Lite
4. 3:04Multiple Versions

" related talks

• 36mMachine Learning for Mobile DevelopersLaura Morinigo · Mobilization 8
• 47mExploring Firebase MLKit on AndroidHiren Dave · GDG DevFest Ahmedabad 2018
• 34mIt’s an ML full world! MLKit for Android DevsBritt Barak · DevFest Ukraine 2018
• 30mMachine Learning in Android Apps with ML KitFelipe Pedroso · AndroidFest Campinas 2018
• 14mDo you want an easy way to add Machine Learning into your app?Sandra Dupré · Android Makers 2019
• 35mUnderstanding MLKit offerings on AndroidGaurav Bhatnagar · GDG DevFest Bangalore 2018
• 29mFirebase MLKit — AI in Android Town!!Sweety Bertilla Francis Xavier · Android Summit 2019
• 38mML Kit: Machine Learning for Mobile with FirebaseChristiaan Prins, Ann Zimmer, Shiyu Hu · Google I/O 2019