~/talk

Customize Your App with MLKit

Talkat Øredev 2019 · 2019-11-06..11-08· [machine-learning]
slides:none on file

Shows how MLKit actually runs real models on-device and in the cloud, using Smart Reply and language detection to pick language codes and generate up to three reply suggestions, plus on-device translation with per-language model downloads and a download manager. Demonstrates object detection, image labeling and barcode cropping, explains Auto ML Vision Edge for training custom TensorFlow Lite models, tradeoffs of accuracy versus size and latency, and cites working examples like Dial, Lose It and a Twitter-handle extractor.

AI-written summary · about

  1. 0:00Start
  2. 6:33Object Detection and Tracking
  3. 13:11Barcode Scanning
  4. 13:41Face Detection
  5. 14:09Image Labeling
  6. 14:52Landmark Detection
  7. 15:34Text Recognition
  8. 17:35Language ID
  9. 20:00On Device Translation
  10. 23:18Smart Reply
  11. 29:26AutoML Vision Edge
  12. 34:38AutoML with Object Detection
  13. 37:07Lose It!
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