Machine Generated Data
Tags
Amazon
created on 2019-11-06
Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
sketch | 100 | |
| ||
drawing | 100 | |
| ||
representation | 99.9 | |
| ||
paper | 25.9 | |
| ||
money | 25.5 | |
| ||
vintage | 23.2 | |
| ||
old | 22.3 | |
| ||
retro | 20.5 | |
| ||
currency | 18.8 | |
| ||
stamp | 16.4 | |
| ||
dollars | 16.4 | |
| ||
business | 16.4 | |
| ||
wealth | 16.2 | |
| ||
banking | 15.6 | |
| ||
art | 15.6 | |
| ||
cash | 15.6 | |
| ||
ancient | 14.7 | |
| ||
letter | 14.7 | |
| ||
design | 14.6 | |
| ||
finance | 14.4 | |
| ||
14.4 | ||
| ||
savings | 14 | |
| ||
dollar | 13.9 | |
| ||
grunge | 13.6 | |
| ||
us | 13.5 | |
| ||
bank | 13.4 | |
| ||
antique | 13 | |
| ||
postmark | 12.8 | |
| ||
postage | 12.8 | |
| ||
philately | 11.8 | |
| ||
envelope | 10.8 | |
| ||
black | 10.8 | |
| ||
history | 10.7 | |
| ||
financial | 10.7 | |
| ||
states | 10.6 | |
| ||
pattern | 10.3 | |
| ||
symbol | 10.1 | |
| ||
investment | 10.1 | |
| ||
frame | 10 | |
| ||
postal | 9.8 | |
| ||
market | 9.8 | |
| ||
texture | 9.7 | |
| ||
detail | 9.7 | |
| ||
artistic | 9.6 | |
| ||
exchange | 9.5 | |
| ||
united | 9.5 | |
| ||
wall | 9.4 | |
| ||
card | 9.3 | |
| ||
rich | 9.3 | |
| ||
note | 9.2 | |
| ||
travel | 9.2 | |
| ||
aged | 9 | |
| ||
success | 8.8 | |
| ||
banknote | 8.7 | |
| ||
finances | 8.7 | |
| ||
pay | 8.6 | |
| ||
historical | 8.5 | |
| ||
economy | 8.3 | |
| ||
historic | 8.2 | |
| ||
one | 8.2 | |
| ||
newspaper | 8.1 | |
| ||
book jacket | 7.9 | |
| ||
textured | 7.9 | |
| ||
bills | 7.8 | |
| ||
hundred | 7.7 | |
| ||
post | 7.6 | |
| ||
style | 7.4 | |
|
Google
created on 2019-11-06
Drawing | 76.1 | |
| ||
Illustration | 75.4 | |
| ||
Boats and boating--Equipment and supplies | 67.5 | |
| ||
Art | 65.5 | |
| ||
Boat | 64.6 | |
| ||
Vehicle | 64.4 | |
| ||
Painting | 60.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 27-43 |
Gender | Male, 54.9% |
Disgusted | 47.7% |
Angry | 47.7% |
Sad | 45.1% |
Confused | 45.2% |
Surprised | 45.3% |
Fear | 45.2% |
Happy | 45.1% |
Calm | 48.8% |
AWS Rekognition
Age | 30-46 |
Gender | Male, 54.5% |
Fear | 45.1% |
Disgusted | 45% |
Angry | 45% |
Calm | 45.6% |
Sad | 45% |
Happy | 45% |
Confused | 45% |
Surprised | 54.2% |
Feature analysis
Text analysis
Amazon
attends
sabord
tribord
de
babord
fesant
mon
pavillon
LES
sant eau de sabord de babord et de tribord
PARISIENS.
couler
en
sant
LES CANOTIERS PARISIENS.
tu
eau
insultes
attends.
plutot
CANOTIERS
vas
COM BAT
et
Ah
Ah tu insultes mon pavillon attends. attends vas couler en fesant feu on plutot elt fe
fe
feu
COM BAT NA VAL.
Ch
on
NA VAL.
elt
LES CANOTIERS PARISIENS
Ches Fa tt Cre 1
NA VAL
COMBAT
Ah to nsultes non pavillon
sant ean de s abord, de babord et de tribord
attends, attends te vas conler en fesant leu
on plutot cn fe-
LES
CANOTIERS
PARISIENS
Ches
Fa
tt
Cre
1
NA
VAL
COMBAT
Ah
to
nsultes
non
pavillon
sant
ean
de
s
abord,
babord
et
tribord
attends,
attends
te
vas
conler
en
fesant
leu
on
plutot
cn
fe-