Machine Generated Data
Tags
Amazon
created on 2021-04-03
Clarifai
created on 2021-04-03
Imagga
created on 2021-04-03
sketch | 64.8 | |
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drawing | 54 | |
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book jacket | 45.7 | |
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representation | 39.6 | |
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vintage | 37.2 | |
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jacket | 36.5 | |
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paper | 33.1 | |
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old | 30.7 | |
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retro | 30.3 | |
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wrapping | 27 | |
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stamp | 26.9 | |
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envelope | 24.9 | |
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24.9 | ||
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grunge | 24.7 | |
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letter | 23.9 | |
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postage | 23.6 | |
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postmark | 21.7 | |
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money | 21.3 | |
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covering | 19.7 | |
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postal | 18.7 | |
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binding | 18.4 | |
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cash | 18.3 | |
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post | 18.1 | |
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art | 17.8 | |
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antique | 16.7 | |
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ancient | 16.4 | |
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currency | 16.2 | |
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book | 16 | |
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aged | 15.4 | |
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texture | 15.3 | |
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philately | 14.8 | |
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design | 13.6 | |
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bank | 13.4 | |
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dollar | 13 | |
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card | 12.9 | |
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note | 12.9 | |
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blank | 12.9 | |
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symbol | 12.8 | |
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frame | 12.6 | |
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printed | 11.8 | |
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banking | 11 | |
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finance | 11 | |
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global | 10.9 | |
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circa | 10.9 | |
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stamps | 10.9 | |
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dirty | 10.8 | |
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bill | 10.5 | |
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page | 10.2 | |
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communication | 10.1 | |
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decorative | 10 | |
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collection | 9.9 | |
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history | 9.8 | |
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financial | 9.8 | |
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business | 9.7 | |
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dollars | 9.7 | |
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pattern | 9.6 | |
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exchange | 9.6 | |
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message | 9.1 | |
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border | 9 | |
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product | 9 | |
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shows | 8.9 | |
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brown | 8.8 | |
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notes | 8.6 | |
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international | 8.6 | |
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culture | 8.6 | |
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grungy | 8.5 | |
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savings | 8.4 | |
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economy | 8.3 | |
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container | 8.3 | |
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one | 8.2 | |
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closeup | 8.1 | |
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graphic | 8 | |
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black | 7.8 | |
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banknote | 7.8 | |
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flower | 7.7 | |
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pay | 7.7 | |
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wallpaper | 7.7 | |
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united | 7.6 | |
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close | 7.4 | |
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backdrop | 7.4 | |
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creation | 7.4 | |
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paint | 7.2 | |
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wealth | 7.2 | |
|
Google
created on 2021-04-03
Book | 89.8 | |
| ||
Art | 83.9 | |
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Painting | 77.9 | |
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Font | 74.9 | |
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Wood | 74.5 | |
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Illustration | 71.3 | |
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Drawing | 71.2 | |
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Visual arts | 68.5 | |
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Paper | 67.2 | |
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Paper product | 66.4 | |
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Room | 63.5 | |
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Figure drawing | 62.8 | |
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Artwork | 60.6 | |
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Printmaking | 60 | |
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Sketch | 59.4 | |
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Costume design | 58.4 | |
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Publication | 56.9 | |
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History | 54.1 | |
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Pattern | 52.5 | |
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Line art | 51.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 3-9 |
Gender | Female, 92.2% |
Calm | 77.4% |
Sad | 11.7% |
Happy | 9% |
Angry | 1% |
Fear | 0.5% |
Disgusted | 0.2% |
Surprised | 0.2% |
Confused | 0% |
AWS Rekognition
Age | 22-34 |
Gender | Female, 73.6% |
Calm | 97.8% |
Happy | 1.2% |
Sad | 0.5% |
Surprised | 0.2% |
Angry | 0.2% |
Fear | 0.1% |
Disgusted | 0.1% |
Confused | 0% |
Feature analysis
Amazon
Person | 90.9% | |
|
Text analysis
Amazon
pourra
rendra
vanter
rude
lapin!
prie
de
me
se
qui me rendra reveuse pourra
se vanter detre un rude lapin!
eroire
un
reveuse
LES
Ihomme
je
LES PAATACEUSES
qui
Ah! je le prie de eroire que Ihomme
PAATACEUSES
le
detre
que
Ah!
II
LES PARTACEUSES
Ah ! je te prie de croire que l'homme qui me rendra rèveuse pourra
se vanter d'ètre un rude lapin!
II
LES
PARTACEUSES
Ah
!
je
te
prie
de
croire
que
l'homme
qui
me
rendra
rèveuse
pourra
se
vanter
d'ètre
un
rude
lapin!