Create ML App
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The document discusses the creation of a machine learning app by Marvin Lin at Swift Taipei in 2018, focusing on various classifiers like image, sound, and text. It highlights the importance of labeled data for training models and presents a user story involving a sound classifier to monitor a crying baby. Additionally, it briefly touches on potential applications of sound classification in public safety.
Create ML App
- 1. Create ML App Marvin Lin 20190903 @ Swift Taipei
- 5. Why models are important?
- 7. Image Classifier Object Detection Sound Classifier Activity Classifier Text Classifier, word tagger Tabular data Recommendation
- 8. Image Classifier Object Detection Sound Classifier Activity Classifier Text Classifier, word tagger Tabular data Recommendation 🎬 Demo 🎬 Demo
- 9. Create ML App Spotlight In Xcode
- 11. Object Detector
- 12. - Unit is pixel - Origin is upper-left - x, y is center of bounding box - Each class should have more than 30 pics
- 13. But…
- 14. You Can’t Label Annotations in Creat ML App WWDC: You can download tools from the web, but make sure they use the s https://labelbox.com Label on local device http://labelme.csail.mit.edu/ https://github.com/tzutalin/labelImg
- 15. Coordinate System is Important
- 16. Sound Classifier
- 17. Guitar or Drum Forest or City Crying or Laughing
- 18. Demo App User Story • If you are living in a big house and you have a baby. Is it possible to use sound classification model to monitor baby is crying? If yes, then app will send a notification out. Just like baby camera but only triggered by voice.
- 19. Sound Classifier Demo Baby is cryingBaby not crying
- 20. If Model Not Working Properly on User’s Device • Using MLUpdateTask to customize ML model
- 21. Other field? Does it have more low cost to distribute audio sensor in city, and monitor the gun shot voice? Theoretically, we can get location from 3 ~ 4 sensors data.
- 22. Situations in Beta Beta1, 2 Aft Beta 5