Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
book jacket | 100 | |
| ||
jacket | 83 | |
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wrapping | 63.1 | |
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covering | 42.3 | |
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old | 33.4 | |
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vintage | 30.6 | |
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newspaper | 29.3 | |
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grunge | 26.4 | |
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retro | 24.6 | |
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product | 23.5 | |
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paper | 22.7 | |
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aged | 21.7 | |
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texture | 20.8 | |
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antique | 19.9 | |
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ancient | 19 | |
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creation | 18.3 | |
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money | 16.2 | |
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currency | 14.4 | |
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frame | 14.1 | |
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business | 14 | |
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dirty | 13.6 | |
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bank | 13.4 | |
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bill | 13.3 | |
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art | 13 | |
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letter | 12.8 | |
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worn | 12.4 | |
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grungy | 12.3 | |
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pattern | 12.3 | |
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dollar | 12.1 | |
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wall | 12 | |
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cash | 11.9 | |
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paint | 11.8 | |
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building | 11.5 | |
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damaged | 11.4 | |
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poster | 11.3 | |
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finance | 11 | |
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space | 10.9 | |
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decorative | 10.9 | |
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border | 10.9 | |
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history | 10.7 | |
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design | 10.7 | |
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financial | 10.7 | |
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stamp | 10.6 | |
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10.5 | ||
| ||
sign | 10.5 | |
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blank | 10.3 | |
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card | 10.2 | |
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structure | 9.9 | |
| ||
travel | 9.9 | |
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postmark | 9.9 | |
| ||
postage | 9.8 | |
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text | 9.6 | |
| ||
brown | 9.6 | |
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symbol | 9.4 | |
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banking | 9.2 | |
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drawing | 9.2 | |
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decoration | 9.2 | |
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message | 9.1 | |
| ||
material | 8.9 | |
| ||
circa | 8.9 | |
| ||
textured | 8.8 | |
| ||
daily | 8.8 | |
| ||
bills | 8.7 | |
| ||
artistic | 8.7 | |
| ||
pay | 8.6 | |
| ||
black | 8.4 | |
| ||
note | 8.3 | |
| ||
room | 7.9 | |
| ||
postal | 7.9 | |
| ||
architecture | 7.8 | |
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color | 7.8 | |
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hundred | 7.7 | |
| ||
empty | 7.7 | |
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payment | 7.7 | |
| ||
profit | 7.7 | |
| ||
exchange | 7.6 | |
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old fashioned | 7.6 | |
| ||
house | 7.5 | |
| ||
city | 7.5 | |
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savings | 7.5 | |
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envelope | 7.4 | |
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historic | 7.3 | |
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graphic | 7.3 | |
| ||
rough | 7.3 | |
| ||
people | 7.3 | |
|
Google
created on 2019-06-04
Photograph | 94.8 | |
| ||
Text | 94 | |
| ||
Snapshot | 83.9 | |
| ||
Paper product | 72.2 | |
| ||
Adaptation | 67 | |
| ||
Room | 65.7 | |
| ||
History | 60.4 | |
| ||
Paper | 59.2 | |
| ||
Vehicle | 54.4 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 15-25 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.6% |
Calm | 49.9% |
Sad | 49.7% |
Confused | 49.5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 49.7% |
Angry | 50.2% |
Surprised | 49.5% |
Calm | 49.6% |
Feature analysis
Text analysis
Amazon
Needs
York
Adaptation
Publie
New
New York City Publie Schools
City
the
Schools
Examples of the Adaptation of Edueation to Special City Needs
of
Edueation
Special
Examples
N44
Public
to
Tossing
Boys
Schoal
The
Public Schoal N44 Manhattan
Boll
Yorg-, JA Boys Tossing The Boll
Manhattan
Yorg-,
C86
119r3
JA
New York City Public Schools
Examples of the Adaptation of Education to Special City Needs
Yora-A Boys Tossing The Ball
Public School Ne 44 Manhattan
New
York
City
Public
Schools
Examples
of
the
Adaptation
Education
to
Special
Needs
Yora-A
Boys
Tossing
The
Ball
School
Ne
44
Manhattan