Getting more value from text and image content - webinar on how to build scalable solutions that understand images using Imagga API and Ontotext S4

1. Image Tagging API
for building scalable solutions
that understand images
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2. 2
Objects & Concepts
strawberry
food
fresh
fruit
healthy
closeup
dessert
organic
nutrition

3. 3
150Y3Y
2B+
NEW PHOTOS SHARED
EVERY DAY

4. 4
Huge amount
of user-generated
content
NOT
searchable
&
understandable
NOT
monetizable
The Status Quo

5. 5
How to understand and
organize all these photos?

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Replaces
manual effort
Automated
solution (API)
“Understands”
images
Value Proposition

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imagga.com/auto-tagging-demo

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Imagga’s Auto-Tagging Technology
Analysis
of pixel data
Neural Networks
(deep learning)
Image Classifier
2 700+ 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 conclusions
e.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 image
or
give public image URL
Get JSON list of tags
with confidence %
(and Wordnet Synset ID
if 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 Support
50 languages other than English
Upcoming Features
Instant Feedback Loop
learning immediately based on user interaction

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Thank You!
api@imagga.com twitter.com/imagga facebook.com/imagga
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