Machine Generated Data
Tags
Amazon
created on 2019-03-22
Clarifai
created on 2019-03-22
Imagga
created on 2019-03-22
sketch | 49.2 | |
| ||
drawing | 36.3 | |
| ||
representation | 33.7 | |
| ||
container | 28.1 | |
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money | 25.5 | |
| ||
bag | 24.6 | |
| ||
currency | 24.2 | |
| ||
cash | 21 | |
| ||
bank | 19.7 | |
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banking | 18.4 | |
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business | 16.4 | |
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finance | 16 | |
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financial | 16 | |
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paper | 15.9 | |
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bill | 14.3 | |
| ||
note | 13.8 | |
| ||
banknote | 13.6 | |
| ||
dollar | 13 | |
| ||
portrait | 12.9 | |
| ||
backpack | 12.8 | |
| ||
wealth | 12.6 | |
| ||
black | 12.1 | |
| ||
cute | 11.5 | |
| ||
hamper | 11.4 | |
| ||
face | 11.4 | |
| ||
savings | 11.2 | |
| ||
dollars | 10.6 | |
| ||
exchange | 10.5 | |
| ||
hair | 10.3 | |
| ||
closeup | 10.1 | |
| ||
art | 9.9 | |
| ||
basket | 9.8 | |
| ||
close | 9.7 | |
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notes | 9.6 | |
| ||
people | 9.5 | |
| ||
covering | 9.4 | |
| ||
economy | 9.3 | |
| ||
one | 9 | |
| ||
market | 8.9 | |
| ||
banknotes | 8.8 | |
| ||
hundred | 8.7 | |
| ||
design | 8.5 | |
| ||
investment | 8.2 | |
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protective covering | 8.1 | |
| ||
light | 8 | |
| ||
space | 7.7 | |
| ||
person | 7.7 | |
| ||
eyes | 7.7 | |
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debt | 7.7 | |
| ||
finances | 7.7 | |
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old | 7.7 | |
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energy | 7.6 | |
| ||
power | 7.5 | |
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pattern | 7.5 | |
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human | 7.5 | |
| ||
rich | 7.4 | |
| ||
style | 7.4 | |
| ||
shape | 7.4 | |
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gray | 7.2 | |
| ||
eye | 7.1 | |
|
Google
created on 2019-03-22
Drawing | 90.4 | |
| ||
Illustration | 87.5 | |
| ||
Text | 86.9 | |
| ||
Sketch | 84.9 | |
| ||
Art | 77.7 | |
| ||
Painting | 76.1 | |
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Artwork | 64.1 | |
| ||
Visual arts | 59.3 | |
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Vintage clothing | 55.9 | |
|
Microsoft
created on 2019-03-22
text | 100 | |
| ||
book | 100 | |
| ||
drawing | 100 | |
| ||
illustration | 57.7 | |
| ||
art | 31.4 | |
| ||
engraving | 27.9 | |
| ||
black and white | 26.9 | |
| ||
sketch | 24.7 | |
| ||
monochrome | 24.7 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 52.5% |
Disgusted | 45.1% |
Angry | 45.4% |
Surprised | 45.3% |
Happy | 45.2% |
Calm | 46.1% |
Confused | 45.1% |
Sad | 52.7% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 51.7% |
Happy | 45.1% |
Sad | 45.3% |
Calm | 45.8% |
Disgusted | 45.5% |
Surprised | 45.5% |
Confused | 45.5% |
Angry | 52.3% |
Feature analysis
Amazon
Person | 98.2% | |
|
Text analysis
Amazon
BONS
LES
LES BONS BOURGEOIS.
BOURGEOIS.
phs
depres
dessous
celte
aupres
de
ah!
glace
bobonne!
si
glace aupres de de toi bobonne!
ne
nuit
zero..
je
dessous de zero.. ah! je ne M etonne phs si celte nuit j etais
j etais
de toi
etonne
all
- Six depres all
N 65.
'Aubertacie
Chet
- Six
Imy 'Aubertacie
Chet Amlerl ie hennt.
Amlerl
ie hennt.
Imy
M
BONS
her
P.de
zer..
ne
mčtone
LES BONS BOURGEOIS
o 65
030
mp Aabert&C
her Anbert P.de la B
Sixdegris au dessous de zer.. ah je ne mčtone plus si celte nuit j elais
glacd aupres de toi, bobonne
LES
BOURGEOIS
o
65
030
mp
Aabert&C
Anbert
la
B
Sixdegris
au
dessous
de
ah
je
plus
si
celte
nuit
j
elais
glacd
aupres
toi,
bobonne