~/talk

ML Kit: Machine Learning for Mobile with Firebase

Talkat Google I/O 2019 · 2019-05-07..05-09· [machine-learning]
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name:Shiyu Hu
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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

  1. 0:00Intro
  2. 6:10Demo
  3. 10:35Object Detection Tracking
  4. 18:50Material Design
  5. 30:00Unni
  6. 33:15Flags
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