Exciting practical applications of scalable deep learning and image - - PowerPoint PPT Presentation

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Exciting practical applications of scalable deep learning and image - - PowerPoint PPT Presentation

Jan 27, 2023 766 likes •998 views

Exciting practical applications of scalable deep learning and image recognition in the cloud Georgi Kadrev @georgikadrev Imagga Technologies @imagga GTC16, April 5th 150+ companies 3,700+ developers all around the world 3Y 150Y 2B+ NEW

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Exciting practical applications

  • f scalable deep learning

and image recognition in the cloud

Georgi Kadrev @georgikadrev Imagga Technologies @imagga GTC’16, April 5th

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150+ companies 3,700+ developers all around the world

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150Y 3Y 2B+

NEW PHOTOS SHARED

EVERY DAY

(just to be forgotten in 30 minutes!)

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All the buzz words…

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • DNN
  • CNN
  • …
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Why not solving the problem using these via an auto-tagging API ?!

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As simple as:

  • 1. Submit an image
  • 2. Get list of tags or categories
  • 3. Do whatever you need with them
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The tags

  • physical objects: car, dog, computer, …
  • scenery and conceptual: office, job, family, …
  • related terms: car -> vehicle
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The categories

  • personal topics: events, beach, street view, …
  • safe/unsafe content
  • or customer defined:
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But who would need that… ?

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Unsplash: for search

  • Technologies used: auto-tagging
  • Impact: reduces/replaces manual tagging,

enhances search

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KIA: for user profiling and advertising

  • Technologies used: auto-tagging, color extraction
  • Impact: very precise personalised targeting
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Tavisca: for sorting out 25M hotel photos

  • Technologies used: custom auto-categorization
  • Impact: automates classification, improves

browsing experience

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Seoul National University: for waste sorting

Image source: Wikipedia

  • Technologies used: custom auto-categorization
  • Impact: automates pre-sorting of waste
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Eden: for organizing personal photos

http://edenphotos.io

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Are we close to human performance?

https://demo.algolia.com/clashOfTags/

51.1 % 32.5 %

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Thank You!

api@imagga.com twitter.com/imagga facebook.com/imagga

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Hipster Bar: to let only hipsters in his bar! :)

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How we’ve built it?

  • a lot of image data
  • precise model optimization
  • scalable infrastructure
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The data challenge and our feedback loop

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The specific content challenge and our customer-defined training

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The high throughput challenge and on demand infrastructure