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 | 95.1 | |
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representation | 69.2 | |
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vintage | 37.3 | |
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retro | 31.1 | |
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grunge | 29 | |
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old | 28.6 | |
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paper | 27.5 | |
| ||
art | 23.9 | |
| ||
design | 23.1 | |
| ||
ancient | 19.9 | |
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texture | 18.1 | |
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antique | 16.6 | |
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frame | 15.9 | |
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letter | 15.6 | |
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page | 13.9 | |
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card | 13.7 | |
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aged | 13.6 | |
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symbol | 13.5 | |
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stamp | 13 | |
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decoration | 12.8 | |
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dirty | 12.7 | |
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jacket | 12.6 | |
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book jacket | 12.5 | |
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12.4 | ||
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graphic | 12.4 | |
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pattern | 12.3 | |
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wallpaper | 12.3 | |
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envelope | 12.2 | |
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money | 11.9 | |
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decorative | 11.7 | |
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treasury | 11.2 | |
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floral | 11.1 | |
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business | 10.9 | |
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postmark | 10.8 | |
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silhouette | 10.8 | |
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sign | 10.5 | |
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artistic | 10.4 | |
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style | 10.4 | |
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banner | 10.1 | |
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border | 10 | |
| ||
backdrop | 9.9 | |
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creative | 9.7 | |
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stained | 9.6 | |
| ||
black | 9 | |
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book | 9 | |
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currency | 9 | |
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printed | 8.9 | |
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brown | 8.8 | |
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textured | 8.8 | |
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leaf | 8.6 | |
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grungy | 8.5 | |
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flower | 8.5 | |
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wrapping | 8.4 | |
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dollar | 8.4 | |
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gold | 8.2 | |
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depository | 8.2 | |
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paint | 8.2 | |
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circa | 7.9 | |
| ||
shows | 7.9 | |
| ||
text | 7.9 | |
| ||
burnt | 7.8 | |
| ||
scrapbook | 7.8 | |
| ||
elegant | 7.7 | |
| ||
map | 7.7 | |
| ||
scroll | 7.6 | |
| ||
finance | 7.6 | |
| ||
poster | 7.6 | |
| ||
classic | 7.4 | |
| ||
history | 7.2 | |
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decor | 7.1 | |
| ||
travel | 7 | |
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notebook | 7 | |
|
Google
created on 2019-11-05
Text | 88.1 | |
| ||
Illustration | 83.2 | |
| ||
Drawing | 82.8 | |
| ||
Cartoon | 81.6 | |
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Art | 74.8 | |
| ||
Paper | 65.5 | |
| ||
Paper product | 60.9 | |
| ||
Sketch | 57.3 | |
| ||
Antique | 53 | |
|
Microsoft
created on 2019-11-05
text | 98.9 | |
| ||
drawing | 98 | |
| ||
sketch | 96.4 | |
| ||
illustration | 83.4 | |
| ||
cartoon | 82.5 | |
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person | 77.3 | |
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handwriting | 66.2 | |
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clothing | 61.9 | |
| ||
furniture | 57 | |
| ||
book | 54.8 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-46 |
Gender | Male, 53.2% |
Happy | 52.9% |
Disgusted | 45% |
Angry | 47% |
Calm | 45.1% |
Sad | 45% |
Surprised | 45% |
Confused | 45% |
Fear | 45% |
Feature analysis
Amazon
Person | 99.6% | |
|
Text analysis
Amazon
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mnes
mbillet
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la
Bien
AUBERT MALAIRE
n
alfaire, le voleur esi un de mnes amms Fourrais jo ravoir mion billet el
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ravoir
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m
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affaire,
voleur
est
de
ams
1500
f
facile!
dornez
moi
connaitre
celui
me
la
?
pour
mes
el
demain
vous
rendra
le
il
sa
gal
LES
MATAIRE
AOBERT
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tot an fel
Fanienion
OES
ls
REISEIGNENG
braigr
Monsicur, on m a volé un billet de 1000 f-Tres bien Madame j a: votre
Pourrais-je r'avoir mon billet et
affaire, le voleur est un de mes ams
1500 f
Rien n est plus facile! dornez moi
connaitre celui qui me la pris ?
pour mes demarches el demain le voleur vous rendra le billet
il vous remeitra sa carte
Cher hubest gal hre da
LES
MATAIRE
AOBERT
N15
BJREAI
tot
ls
a
billet
1000
a:
votre
Pourrais-je
r'avoir
mon
et
Rien
n
plus
qui
pris
demarches
remeitra
carte
Cher
hubest
hre
da