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Azure vision cognitive services LT

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Published on

devstyle speakers 24-25.11.2018

Published in: Software
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Azure vision cognitive services LT

  1. 1. But why?
  2. 2. By Adam Skibicki Azure Vision Cognitive Services
  3. 3. Kim jestem? Student Politechniki Białostockiej Blogger na programowanienaostro.pl .NET Developer w Elastic Cloud Solutions
  4. 4. Tags: table, indoor table, confidence: 0.9826988, indoor, confidence: 0.9012835 Captions: a cup of coffee on a table, confidence: 0.490675 Analyze an image
  5. 5. Our greatest glory is not in never failing , but in rising every time we fall Read handwritten text from images (Preview)
  6. 6. Recognize celebrities and landmarks name: Elon Musk faceRectangle: { left: 283, top: 136, width: 222, height: 222 } confidence: 1.0
  7. 7. Recognize celebrities and landmarks name: Colosseum, confidence: 0.944
  8. 8. Face verification Verification result: The two faces belong to different people. Confidence is 0.46614.
  9. 9. Face verification Verification result: The two faces belong to the same person. Confidence is 0.83199.
  10. 10. Face Detection color: brown, confidence: 0.98 color: blond, confidence: 0.93 color: red, confidence: 0.79
  11. 11. Face Detection gender: female, age: 33.0, glasses: ReadingGlasses eyeMakeup: false, lipMakeup: true
  12. 12. Emotion recognition happiness: 0.999935865, Anger, contempt, disgust, fear, happiness, sadness, surprise, neutral
  13. 13. Custom Vision (Preview) 1. Upload Images 2. Train 3. Evaluate Active learning
  14. 14. Other Face identification Similar face search Face grouping
  15. 15. Video Indexer and Content Moderator Video Indexer Content Moderator
  16. 16. Try for free Video Indexer: • 10 h website users • 40 h API users. Other: From 5000 to 30.000 transactions of each type 1-2 TPS or 20 transactions per minute

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