Using computer vision, brands can analyze photos to see trends and get recommendations for top performing photos that can increase ROI. The document discusses how computer vision can read images, understand what works best based on elements, composition, and tone, and recommend photos that will have high engagement and performance for brands. Computer vision tested with one company showed 65% higher engagement for recommended photos versus a control group.

1. Using Computer Vision to Create & Publish Better Photos
x

2. The world’s best brands use Dash Hudson to analyze photos, see
trends, and get recommendations for top performing photos that
create fast, meaningful growth in ROI.

3. Fresh-faced brands are being built through intelligent, visual marketing.
And the world’s smartest global brands and retailers are innovating fast.
Our customers are evolving.

4. There are now billions of visual touch-points
between you and your consumers.

5. Growth
20
35
50
65
80
2015 2017
Photos Shared
Engagement
+50%
-10%
The world is complex and moving fast.
Source: Company Disclosed Info / KPCB

6. Content focused.
Informed by data.
Driven by commerce.
BRANDS

7. Data + Creativity

8. VS.

9. Friends forever…
…or at least since June 2016.
+

10. place screenshot here
VISION
Visual Intelligence Platform
Find great photos to use.
Understand what works best.
See competitor and market trends.

11. How Vision Reads An Image
TONE
FEATURES
COMPOSITION
ELEMENTS
SETTING

12. This photo is likely a top
preformer if you use it now.
BadGoodExcellent
health & beauty
liquid
cosmetics
skin care
product
cream
How Vision Makes Recommendations

13. CMG needed to solve
two core problems:
1. Finding photos among
an ocean of content.
2. Choosing photos that perform.

15. CMG x Vision
Vision’s recommendations were put to
the test.
We compared a control group of
images vs. Vision recommended
images.
The results?

16. +65%
ENGAGEMENT
vs.

17. The future of computer
vision and AI in media.

18. Rapid fire.