Machine Generated Data
Tags
Amazon
created on 2019-03-20
Clarifai
created on 2019-03-20
Imagga
created on 2019-03-20
sketch | 100 | |
| ||
drawing | 100 | |
| ||
representation | 93.3 | |
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vintage | 25.6 | |
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stamp | 24.2 | |
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retro | 23.8 | |
| ||
23 | ||
| ||
postmark | 21.7 | |
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postage | 19.7 | |
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postal | 18.6 | |
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letter | 18.3 | |
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old | 16.7 | |
| ||
art | 16.4 | |
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philately | 15.8 | |
| ||
silhouette | 14.9 | |
| ||
envelope | 14.8 | |
| ||
design | 14.6 | |
| ||
paper | 14.1 | |
| ||
black | 13.8 | |
| ||
grunge | 13.6 | |
| ||
post | 13.4 | |
| ||
man | 12.8 | |
| ||
money | 12.8 | |
| ||
symbol | 12.1 | |
| ||
ancient | 12.1 | |
| ||
comic book | 12.1 | |
| ||
printed | 11.8 | |
| ||
currency | 11.7 | |
| ||
people | 11.2 | |
| ||
dollar | 11.1 | |
| ||
card | 11.1 | |
| ||
cash | 11 | |
| ||
circa | 10.9 | |
| ||
shows | 10.8 | |
| ||
history | 10.7 | |
| ||
pattern | 10.3 | |
| ||
wealth | 9.9 | |
| ||
bank | 9.9 | |
| ||
cartoon | 9.8 | |
| ||
rich | 9.3 | |
| ||
clip art | 9.3 | |
| ||
close | 9.1 | |
| ||
global | 9.1 | |
| ||
collection | 9 | |
| ||
financial | 8.9 | |
| ||
graphic | 8.8 | |
| ||
us | 8.7 | |
| ||
male | 8.5 | |
| ||
business | 8.5 | |
| ||
decoration | 8.5 | |
| ||
finance | 8.5 | |
| ||
banking | 8.3 | |
| ||
sign | 8.3 | |
| ||
human | 8.3 | |
| ||
one | 8.2 | |
| ||
style | 8.2 | |
| ||
aged | 8.1 | |
| ||
closeup | 8.1 | |
| ||
philatelic | 7.9 | |
| ||
stamps | 7.9 | |
| ||
ink | 7.7 | |
| ||
culture | 7.7 | |
| ||
loan | 7.7 | |
| ||
bill | 7.6 | |
| ||
unique | 7.6 | |
| ||
decorative | 7.5 | |
| ||
savings | 7.5 | |
| ||
message | 7.3 | |
| ||
newspaper | 7.3 | |
| ||
paint | 7.2 | |
| ||
portrait | 7.1 | |
| ||
women | 7.1 | |
| ||
person | 7.1 | |
|
Google
created on 2019-03-20
Microsoft
created on 2019-03-20
text | 99.9 | |
| ||
book | 98.6 | |
| ||
old | 98.6 | |
| ||
needlework | 65.5 | |
| ||
engraving | 65.1 | |
| ||
monochrome | 60.2 | |
| ||
black and white | 44 | |
| ||
illustration | 43.8 | |
| ||
drawing | 43.5 | |
| ||
museum | 40.9 | |
| ||
art | 38.5 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-52 |
Gender | Female, 84.6% |
Angry | 24.9% |
Surprised | 19.3% |
Calm | 18.7% |
Disgusted | 6.5% |
Sad | 13.2% |
Happy | 4.6% |
Confused | 12.8% |
AWS Rekognition
Age | 48-68 |
Gender | Female, 94.1% |
Calm | 9.2% |
Angry | 6.5% |
Surprised | 16.8% |
Happy | 21.3% |
Disgusted | 15.5% |
Sad | 21% |
Confused | 9.7% |
Feature analysis
Text analysis
Amazon
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dans
Francais
la
Les
bel
dit
Chinois
etat
EN
avez
de
nous
voila
la 9
vu
ont
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chezmadame
9
que
18S9 EN CHINE
manger
ou'est-ce
vous
nlous
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ou'est-ce uue vous avez yous voila dans un bel etat
.
la mnere
Moreall (u est la mnere aux Chinois
pouvioNS
confiince
aux
yous
uue
18S9
(u
JevL
un
EN CHINE
Q11'est-ce qu e vous avez là ? . vous voila dans un bel etat !
Les Francais mous ont dit que nous pouvions manóer çade confiae...uque ca vient de che z madaue
Moreau,i est la mere aux Chinwis
EN
CHINE
Q11'est
-
ce
qu
e
vous
avez
là
?
.
voila
dans
un
bel
etat
!
Les
Francais
mous
ont
dit
que
nous
pouvions
manóer
çade
confiae...uque
ca
vient
de
che
z
madaue
Moreau,i
est
la
mere
aux
Chinwis