analyzing text & images: webinar

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Image Tagging API for building scalable solutions that understand images +

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Post on 13-Apr-2017

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Image Tagging APIfor building scalable solutions

that understand images

+

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Objects & Concepts

strawberry

food

fresh

fruit

healthy

closeup

dessert

organic

nutrition

3

150Y3Y

2B+ NEW PHOTOS SHARED

EVERY DAY

4

Huge amountof user-generated

content

NOT searchable

&understandable

NOT monetizable

The Status Quo

5

How to understand and organize all these photos?

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Replacesmanual effort

Automatedsolution (API)

“Understands” images

Value Proposition

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imagga.com/auto-tagging-demo

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Imagga’s Auto-Tagging Technology

Analysisof pixel data

Neural Networks(deep learning)

Image Classifier2 700+ objects

20 000+ terms/concepts

[tag]

[tag]

[tag]

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2 700+ object classes recognition deep-learning based, recognizing objects in the world around us

How it works:

20 000+ conceptual conclusionse.g. ‘computer’ + ‘desk’ => ‘office’, ‘work’, ‘business’

semantic expansion e.g. ‘car’ => ’vehicle’, ‘mean of transportation’

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Imagga’s Auto-Tagging API

Upload an imageor

give public image URL

Get JSON list of tagswith confidence %

(and Wordnet Synset IDif it is an object)

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Use-Cases in:

• Contextual Advertising / Profiling Users• Managing UGC (user-generated content)• Trend Detection and Re-engagement• Personal Photo Cloud Services• DAM (Digital Asset Management)• Photo Marketplaces• Image Processing Platforms

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Auto-Categorization (including custom)to be integrated in the S4 suite

Multi-language Support50 languages other than English

Upcoming Features

Instant Feedback Looplearning immediately based on user interaction