ML Kit: Machine Learning for Mobile with Firebase
summary
ML Kit adds concrete, usable features: on‑device translation uses the exact Google Translate offline NMT models covering 59 languages with language packs 25–35 MB each (downloads on demand, English as pivot to cut ~3,000 pairs). Visual search uses an ODT pipeline: localizer+classifier cost ~100 ms per frame while a lightweight tracker <10 ms maintains 30 fps even on older phones (Nexus 5); crops go to cloud Product Search. AutoML Vision Edge trains from uploaded zips (demo uses ~20,000 images), exports TF‑Lite, recommends ~2–3 hr per 1,000 images, and reports models ~1.8× faster than hand‑tuned baselines.
AI-written summary · about
chapters (6)
related talks
24mML Kit: Machine learning for mobile developers
30mMachine Learning in Android Apps with ML Kit
04mTop 5 reasons to add ML Kit to your Android or iOS app
34mIt’s an ML full world! MLKit for Android Devs
29mFirebase MLKit — AI in Android Town!!
36mMachine Learning for Mobile Developers
47mExploring Firebase MLKit on Android
39mFrom TensorFlow to ML Kit: power your mobile application with machine learning
