Machine Generated Data
Tags
Amazon
created on 2019-11-05
Clarifai
created on 2019-11-05
Imagga
created on 2019-11-05
sketch | 100 | |
| ||
drawing | 91.4 | |
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representation | 70.4 | |
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vintage | 29.8 | |
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paper | 27.5 | |
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retro | 26.2 | |
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old | 25.1 | |
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letter | 22.9 | |
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stamp | 22.6 | |
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money | 21.3 | |
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20.1 | ||
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art | 19.6 | |
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currency | 18.9 | |
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postmark | 18.7 | |
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grunge | 17.9 | |
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postage | 17.7 | |
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dollar | 17.6 | |
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cash | 17.4 | |
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ancient | 17.3 | |
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postal | 16.7 | |
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business | 15.2 | |
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finance | 14.4 | |
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envelope | 14.3 | |
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symbol | 14.2 | |
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philately | 13.8 | |
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treasury | 13.7 | |
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antique | 13.7 | |
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dollars | 13.5 | |
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bank | 13.4 | |
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history | 13.4 | |
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financial | 13.4 | |
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frame | 12.9 | |
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post | 12.4 | |
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design | 12.4 | |
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wealth | 11.7 | |
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exchange | 11.5 | |
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rich | 11.2 | |
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texture | 11.1 | |
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banking | 11 | |
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pattern | 10.9 | |
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global | 10.9 | |
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aged | 10.9 | |
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card | 10.6 | |
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sign | 10.5 | |
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depository | 10.4 | |
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book jacket | 10.3 | |
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savings | 10.3 | |
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closeup | 10.1 | |
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bills | 9.7 | |
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us | 9.6 | |
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bill | 9.5 | |
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capital | 9.5 | |
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graphic | 9.5 | |
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man | 9.4 | |
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decorative | 9.2 | |
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message | 9.1 | |
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jacket | 8.9 | |
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hundred | 8.7 | |
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loan | 8.6 | |
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close | 8.6 | |
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one | 8.2 | |
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collection | 8.1 | |
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facility | 7.9 | |
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circa | 7.9 | |
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banknotes | 7.8 | |
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travel | 7.7 | |
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states | 7.7 | |
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pay | 7.7 | |
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bookmark | 7.6 | |
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grungy | 7.6 | |
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silhouette | 7.5 | |
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page | 7.4 | |
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economy | 7.4 | |
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decoration | 7.3 | |
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people | 7.3 | |
|
Google
created on 2019-11-05
Text | 86.9 | |
| ||
Vintage clothing | 69.4 | |
| ||
Illustration | 66.9 | |
| ||
Paper product | 60.9 | |
| ||
Retro style | 55.3 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 22-34 |
Gender | Male, 50.4% |
Happy | 46.1% |
Surprised | 46.6% |
Fear | 45.1% |
Disgusted | 45.1% |
Angry | 45.6% |
Confused | 45% |
Sad | 45.1% |
Calm | 51.3% |
AWS Rekognition
Age | 35-51 |
Gender | Male, 52.4% |
Confused | 45% |
Angry | 49.9% |
Fear | 45.1% |
Surprised | 47.2% |
Happy | 45.8% |
Calm | 47% |
Disgusted | 45.1% |
Sad | 45% |
Feature analysis
Text analysis
Amazon
LES
N:3
MACAIRE
quatre
de
actions
3000
letre
du
deux
arlicules
40000f
Ccouple
oici
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roue
Argent,
eterre
Phystonolype
ferez
oberMacire Ccouple
ROBERT
qunlal
donnerai
3000 de pormes eterre lrites, une roue de Cabriolet.. deux vaches,-
ubles
quatre actions du Phystonolype el uo qunlal de coranssances ubles
Je
chanoe
donnerai 25 f Argent,
coranssances
pormes
Cabriolet..
oberMacire
Socques
blanclre
vaches,-
3000 de Moularde blanclre t Socques arlicules
conditions
25 f
oici mIes conditions YOUS T ferez uue letre de chanoe de 40000f Vou3
une
uo
Moularde
lrites,
mIes
el
t
uue
Vou3
YOUS T
LES
HORERT MACAIRE
N3
obertMacaine Cocompleue
oiei mes conditions yous me ferez ue lettre de change de 40000 f je vous
donnerai 25f Argent, 3000 f.de Moularde blandhe et de Socques articules
S cO0 f de ponimes de terre frites, une roue de Cabriolet, deux vaches,-
quatre actions du Physionotype el un quinlal de conmassances yhles
Je na pas dautres valeurs en portefeuille, mais cela vaut de l'or.
dt t C
Chr t al ddat
LES
HORERT
MACAIRE
N3
obertMacaine
Cocompleue
oiei
mes
conditions
yous
me
ferez
ue
lettre
de
cO0
f
ponimes
terre
une
roue
Cabriolet,
deux
vaches,-
quatre
actions
du
Physionotype
el
un
quinlal
conmassances
yhles
dautres
en
mais
vaut
l'or.
dt
t
Chr
al
change
40000
je
vous
donnerai
25f
Argent,
3000
f.de
Moularde
blandhe
et
Socques
articules
S
frites,
Je
na
pas
valeurs
portefeuille,
cela
C
ddat