Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
money | 25.5 | |
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cash | 23.8 | |
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sketch | 23.5 | |
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currency | 23.3 | |
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paper | 22.2 | |
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representation | 19.5 | |
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bill | 19 | |
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drawing | 18.7 | |
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banking | 18.4 | |
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bank | 17.9 | |
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dollar | 17.6 | |
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portrait | 17.5 | |
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wealth | 17.1 | |
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close | 16.6 | |
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vintage | 15.7 | |
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old | 14.6 | |
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finance | 14.4 | |
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financial | 14.3 | |
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creation | 13.9 | |
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banknote | 13.6 | |
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product | 13.5 | |
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retro | 13.1 | |
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savings | 13.1 | |
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book jacket | 13 | |
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business | 12.8 | |
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exchange | 12.4 | |
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envelope | 12.3 | |
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people | 12.3 | |
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one | 11.9 | |
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art | 11.9 | |
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dollars | 11.6 | |
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face | 11.4 | |
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economy | 11.1 | |
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culture | 11.1 | |
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jacket | 11.1 | |
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newspaper | 11 | |
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pay | 10.6 | |
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child | 10.5 | |
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body | 10.4 | |
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rich | 10.2 | |
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black | 10.2 | |
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note | 10.1 | |
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closeup | 10.1 | |
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symbol | 10.1 | |
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investment | 10.1 | |
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us | 9.6 | |
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antique | 9.5 | |
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ancient | 9.5 | |
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covering | 9.4 | |
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man | 9.4 | |
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letter | 9.2 | |
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fashion | 9 | |
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stamp | 8.9 | |
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printed | 8.9 | |
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banknotes | 8.8 | |
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8.6 | ||
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model | 8.6 | |
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grunge | 8.5 | |
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human | 8.2 | |
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market | 8 | |
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hair | 7.9 | |
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postmark | 7.9 | |
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twenty | 7.9 | |
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postage | 7.9 | |
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sculpture | 7.8 | |
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bills | 7.8 | |
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sepia | 7.8 | |
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skin | 7.8 | |
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hundred | 7.7 | |
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pound | 7.7 | |
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finances | 7.7 | |
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wrapping | 7.7 | |
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loan | 7.7 | |
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photograph | 7.7 | |
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book | 7.6 | |
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capital | 7.6 | |
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head | 7.6 | |
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binding | 7.3 | |
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male | 7.3 | |
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success | 7.2 | |
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sexy | 7.2 | |
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adult | 7.1 | |
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design | 7 | |
|
Google
created on 2022-01-22
Face | 98.5 | |
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Hair | 98.4 | |
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Jaw | 87.7 | |
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Art | 84 | |
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Tints and shades | 77.1 | |
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Painting | 74 | |
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Vintage clothing | 69.3 | |
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Rectangle | 68.6 | |
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Visual arts | 67.5 | |
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Drawing | 64 | |
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Portrait | 59.3 | |
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Self-portrait | 58.8 | |
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Room | 57.1 | |
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History | 55.7 | |
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Illustration | 55.5 | |
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Retro style | 53.2 | |
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Portrait photography | 52.6 | |
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Paper product | 51.9 | |
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Photographic paper | 50.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-31 |
Gender | Female, 100% |
Calm | 99.1% |
Surprised | 0.3% |
Sad | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Microsoft Cognitive Services
Age | 25 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.2% | |
|
Text analysis
Amazon
DE
Grave
LA
VIERGE
with
the
par
Point
E
address
LA VIERGE DE RUBENS
Grave par M E Carr
M
Buliens
Point par P Pb Buliens
Presentation copy with the artista address E Stemp
Presentation
copy
P
RUBENS
Carr
artista
Stemp
Pb
as
my
Peint par PP Rubena
Grave par ME Corr
LA VIERGE DE RUBENS
Ormentation
with the artata
Peint
PP
Rubena
Grave
par
ME
Corr
VIERGE
DE
LA
RUBENS
Ormentation
with
the
artata