Machine Generated Data
Tags
Clarifai
created on 2023-10-12
Imagga
created on 2022-10-19
sketch | 100 | |
| ||
drawing | 100 | |
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representation | 100 | |
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money | 34 | |
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currency | 30.5 | |
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cash | 29.3 | |
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dollar | 27.8 | |
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bill | 23.8 | |
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banking | 21.1 | |
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bank | 20.6 | |
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paper | 20.4 | |
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finance | 20.3 | |
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close | 17.1 | |
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business | 17 | |
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financial | 16.9 | |
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art | 16.3 | |
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hundred | 15.5 | |
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pay | 15.3 | |
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face | 14.9 | |
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us | 14.5 | |
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wealth | 14.4 | |
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portrait | 13.6 | |
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dollars | 13.5 | |
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payment | 13.5 | |
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savings | 13.1 | |
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closeup | 12.8 | |
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banknotes | 12.7 | |
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exchange | 12.4 | |
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franklin | 11.8 | |
| ||
man | 11.4 | |
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detail | 11.3 | |
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one | 11.2 | |
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rich | 11.2 | |
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finances | 10.6 | |
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loan | 10.5 | |
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black | 10.2 | |
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church | 10.2 | |
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religion | 9.9 | |
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banknote | 9.7 | |
| ||
economic | 9.7 | |
| ||
notes | 9.6 | |
| ||
architecture | 9.4 | |
| ||
commerce | 9.3 | |
| ||
economy | 9.3 | |
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vintage | 9.1 | |
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twenty | 8.9 | |
| ||
antique | 8.7 | |
| ||
price | 8.6 | |
| ||
statue | 8.6 | |
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culture | 8.5 | |
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old | 8.4 | |
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human | 8.3 | |
| ||
figure | 8.2 | |
| ||
concepts | 8 | |
| ||
male | 7.8 | |
| ||
ancient | 7.8 | |
| ||
god | 7.7 | |
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pattern | 7.5 | |
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dark | 7.5 | |
| ||
symbol | 7.4 | |
| ||
note | 7.4 | |
| ||
success | 7.2 | |
| ||
market | 7.1 | |
|
Google
created on 2022-10-19
Chin | 96.7 | |
| ||
Eyebrow | 94.1 | |
| ||
Eye | 93.4 | |
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Human body | 88.4 | |
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Jaw | 88.3 | |
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Neck | 87.3 | |
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Beard | 86.4 | |
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Gesture | 85.3 | |
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Art | 81.8 | |
| ||
Figure drawing | 76.7 | |
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Self-portrait | 75.7 | |
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Facial hair | 73.5 | |
| ||
Long hair | 73.4 | |
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Drawing | 72.7 | |
| ||
Illustration | 72 | |
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Visual arts | 69.3 | |
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Monochrome | 68.5 | |
| ||
Line art | 67.4 | |
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Chest | 67.1 | |
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Sitting | 65 | |
|
Microsoft
created on 2022-10-19
sketch | 99.9 | |
| ||
drawing | 99.8 | |
| ||
text | 98.9 | |
| ||
human face | 97.1 | |
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art | 96 | |
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person | 81.4 | |
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illustration | 76.3 | |
| ||
portrait | 71.5 | |
| ||
child art | 68 | |
| ||
painting | 61.3 | |
| ||
linedrawing | 21.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Calm | 65.3% |
Sad | 54.5% |
Fear | 7.3% |
Surprised | 6.5% |
Angry | 1.8% |
Disgusted | 0.5% |
Confused | 0.4% |
Happy | 0.1% |
Microsoft Cognitive Services
Age | 33 |
Gender | Male |
Feature analysis
Amazon
Person | 95.7% | |
|
Text analysis
Amazon
told
all
got
drive
just
know
of
driver's
want
to
let
can
other
get
don't
got my
kinds
about
my
to let you
I
a can drive all kinds of stuff.
I had
10/10
you
other day..
licience
had
told S
a
I just don't want 4 drive explorines..? Structure
day..
triak driver's
the get
I wants
S
4
stuff.
wants
triak
the
explorines..?
Structure
I got my
licience
I wanting
know
10/10;
I can drive all kinds
of stuff
I just don't want to drive expl
thisk driver's
other day..
to let you
about
I
got
my
licience
wanting
know
10/10
;
can
drive
all
kinds
of
stuff
just
don't
want
to
expl
thisk
driver's
other
day
..
let
you
about