Machine Generated Data
Tags
Amazon
created on 2019-11-09
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
book jacket | 69 | |
| ||
jacket | 54.6 | |
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brass | 45.4 | |
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memorial | 42.2 | |
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wrapping | 40.8 | |
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old | 35.6 | |
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structure | 34.6 | |
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vintage | 28.1 | |
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covering | 28 | |
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antique | 21.7 | |
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grunge | 21.3 | |
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decoration | 21.1 | |
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sculpture | 21 | |
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ancient | 20.8 | |
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graffito | 19.9 | |
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wall | 19.7 | |
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texture | 18.8 | |
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retro | 18 | |
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art | 17.9 | |
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architecture | 16.4 | |
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detail | 16.1 | |
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paper | 15.7 | |
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aged | 15.4 | |
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history | 15.2 | |
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stone | 14.5 | |
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statue | 13.5 | |
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design | 13 | |
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historical | 12.2 | |
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monument | 12.2 | |
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landmark | 11.7 | |
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stamp | 11.5 | |
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travel | 11.3 | |
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building | 11.2 | |
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famous | 11.2 | |
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historic | 11 | |
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religion | 10.8 | |
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culture | 10.3 | |
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symbol | 10.1 | |
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letter | 10.1 | |
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ornate | 10.1 | |
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dirty | 9.9 | |
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tourism | 9.9 | |
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postage | 9.8 | |
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9.6 | ||
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religious | 9.4 | |
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city | 9.2 | |
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material | 8.9 | |
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heritage | 8.7 | |
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post | 8.6 | |
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frame | 8.3 | |
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pattern | 8.2 | |
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rough | 8.2 | |
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world | 8 | |
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sketch | 7.9 | |
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postmark | 7.9 | |
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postal | 7.9 | |
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drawing | 7.8 | |
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stain | 7.7 | |
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obsolete | 7.7 | |
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money | 7.7 | |
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damaged | 7.6 | |
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rusty | 7.6 | |
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weathered | 7.6 | |
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temple | 7.6 | |
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grungy | 7.6 | |
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house | 7.5 | |
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carving | 7.5 | |
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closeup | 7.4 | |
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church | 7.4 | |
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cover | 7.4 | |
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brown | 7.4 | |
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envelope | 7.4 | |
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window | 7.3 | |
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tourist | 7.3 | |
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currency | 7.2 | |
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facade | 7.1 | |
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marble | 7.1 | |
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textured | 7 | |
|
Google
created on 2019-11-09
Text | 88.1 | |
| ||
Picture frame | 84.1 | |
| ||
Illustration | 78 | |
| ||
Art | 72.1 | |
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Painting | 66.1 | |
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Room | 65.7 | |
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Antique | 65.6 | |
| ||
Drawing | 59.3 | |
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Paper | 57 | |
| ||
Paper product | 55.7 | |
| ||
Printmaking | 54.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 15-27 |
Gender | Female, 53.2% |
Calm | 54.8% |
Confused | 45% |
Surprised | 45% |
Happy | 45.2% |
Fear | 45% |
Angry | 45% |
Disgusted | 45% |
Sad | 45% |
AWS Rekognition
Age | 13-25 |
Gender | Female, 53.8% |
Sad | 45.1% |
Angry | 45.1% |
Calm | 54.2% |
Fear | 45% |
Disgusted | 45% |
Surprised | 45.2% |
Happy | 45.3% |
Confused | 45% |
Feature analysis
Text analysis
Amazon
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les
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m
veut
puifbance.
en
L.a Gllc d'un mortel en veut a m puifbance.
L.a
fils.ditelle.e
a
Mon fils.ditelle.e en lui baisant les yeur.
Mon
Gllc
lui
yeur.
Mon fils, dit-elle, en lui baisant les yeux,
La ille d'un mortel en veut a ma puilbance.
Mon
fils,
dit-elle,
en
lui
baisant
les
yeux,
La
ille
d'un
mortel
veut
a
ma
puilbance.