Machine Generated Data
Tags
Amazon
created on 2023-10-24
Clarifai
created on 2019-02-19
Imagga
created on 2019-02-19
sketch | 99.8 | |
| ||
drawing | 77.9 | |
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representation | 64.8 | |
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money | 27.2 | |
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currency | 24.2 | |
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book jacket | 24.1 | |
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paper | 22.7 | |
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vintage | 21.5 | |
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cash | 21 | |
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dollar | 19.5 | |
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newspaper | 19.2 | |
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jacket | 19 | |
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old | 18.8 | |
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bank | 18.8 | |
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business | 18.2 | |
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banking | 17.5 | |
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creation | 17.1 | |
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art | 16.5 | |
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product | 16.1 | |
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dollars | 15.4 | |
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wealth | 15.3 | |
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bill | 15.2 | |
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savings | 14.9 | |
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symbol | 14.8 | |
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ancient | 14.7 | |
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finance | 14.4 | |
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wrapping | 14.3 | |
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stamp | 13.5 | |
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one | 13.4 | |
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13.4 | ||
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financial | 13.4 | |
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letter | 12.8 | |
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postmark | 12.8 | |
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black | 12.6 | |
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exchange | 12.4 | |
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antique | 12.3 | |
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retro | 12.3 | |
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closeup | 12.1 | |
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close | 12 | |
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postage | 11.8 | |
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rich | 11.2 | |
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grunge | 11.1 | |
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man | 10.7 | |
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sculpture | 10.7 | |
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statue | 10.6 | |
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economy | 10.2 | |
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investment | 10.1 | |
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postal | 9.8 | |
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daily | 9.7 | |
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hundred | 9.7 | |
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states | 9.7 | |
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us | 9.6 | |
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finances | 9.6 | |
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covering | 9.6 | |
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post | 9.5 | |
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united | 9.5 | |
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people | 9.5 | |
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portrait | 9.1 | |
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sign | 9 | |
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design | 9 | |
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history | 8.9 | |
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market | 8.9 | |
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printed | 8.8 | |
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pay | 8.6 | |
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loan | 8.6 | |
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capital | 8.5 | |
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unique | 8.5 | |
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envelope | 8.5 | |
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photograph | 8.4 | |
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frame | 8.3 | |
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mug shot | 8.3 | |
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religion | 8.1 | |
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detail | 8 | |
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franklin | 7.9 | |
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artistic | 7.8 | |
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bills | 7.8 | |
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culture | 7.7 | |
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famous | 7.4 | |
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backdrop | 7.4 | |
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global | 7.3 | |
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office | 7.2 | |
|
Google
created on 2019-02-19
Photograph | 95.1 | |
| ||
Text | 85.2 | |
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Vintage clothing | 72.9 | |
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Design | 72 | |
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Retro style | 68.9 | |
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Vintage advertisement | 68.6 | |
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Paper product | 67.3 | |
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Dress | 65.6 | |
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Paper | 57 | |
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Pattern | 56.3 | |
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Illustration | 54.5 | |
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Pattern | 54.1 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-26 |
Gender | Female, 93.5% |
Calm | 91.4% |
Surprised | 6.4% |
Fear | 6.1% |
Happy | 6% |
Sad | 2.3% |
Disgusted | 0.5% |
Confused | 0.4% |
Angry | 0.2% |
AWS Rekognition
Age | 21-29 |
Gender | Female, 99.9% |
Angry | 53.1% |
Calm | 21.2% |
Surprised | 17% |
Fear | 7.2% |
Disgusted | 5.7% |
Sad | 2.8% |
Confused | 1.1% |
Happy | 1% |
Feature analysis
Text analysis
Amazon
Mais
un
pour
homme
que
de
été
avait
fait!
DE
FOURBERIES
serats
tu
mais
En
el
'as
ce
16
que tu m 'as fait! Mais! mais mais Je serats
m
R
SI
Je
du
Mais!
Croissant
FOURBERIES DE FEMMES,
moi
Mais SI un homme avait été pour moi ce que j'ai ele pour lo el que Je lu are fatt ce
En malière de sentiment.
ele
Clare Beufer R du Croissant 16
honteuse!
FEMMES,
are
lu
sentiment.
2'Serie
Pa
j'ai
Pa Gavarus
kuberi
Gavarus
malière
23
fatt
ing
ing ن kuberi a0
lo
ن
Clare
Beufer
a0
11/8-14
FOURBERIES DE FEMMES
En maliere de seniment
2 Serie
Par Gavar
Cr B R Croissant, 16
Mais si un homme arait été pour moi ce que ja dte pour toi el que je lui ae lat ce
mas je serats honteuse
e tu m'as fait! Mais! maism
FOURBERIES
DE
FEMMES
En
maliere
de
seniment
Serie
Par
R
Croissant,
16
Mais
homme
arait
pour
moi
ce
que
ja
je
ae
lat
serats
honteuse
2
Gavar
Cr
B
si
un
été
dte
toi
el
lui
mas
e
tu
m'as
fait!
Mais!
maism