Machine Generated Data
Tags
Amazon
created on 2019-04-05
Clarifai
created on 2018-04-19
Imagga
created on 2018-04-19
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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texture | 33.3 | |
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material | 26.8 | |
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pattern | 26.7 | |
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old | 23.7 | |
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textured | 22.8 | |
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retro | 22.1 | |
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grunge | 21.3 | |
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surface | 21.2 | |
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vintage | 19.8 | |
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art | 19.2 | |
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rough | 19.1 | |
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paper | 18 | |
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wall | 17.1 | |
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wallpaper | 16.8 | |
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design | 16.4 | |
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canvas | 16.1 | |
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backgrounds | 15.4 | |
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currency | 15.3 | |
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textile | 15.2 | |
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backdrop | 14.8 | |
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antique | 14.7 | |
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ancient | 14.7 | |
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stone | 14.3 | |
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close | 14.3 | |
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aged | 13.6 | |
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dirty | 13.6 | |
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cash | 12.8 | |
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money | 12.8 | |
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cotton | 12.6 | |
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brown | 12.5 | |
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cloth | 12.5 | |
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financial | 12.5 | |
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fabric | 12.3 | |
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detail | 12.1 | |
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finance | 11.8 | |
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structure | 11.7 | |
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frame | 11.7 | |
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history | 11.6 | |
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decoration | 11.6 | |
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closeup | 11.5 | |
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weathered | 11.4 | |
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fashion | 11.3 | |
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dollar | 11.1 | |
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banking | 11 | |
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bank | 10.7 | |
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color | 10.6 | |
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grungy | 10.4 | |
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style | 10.4 | |
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blank | 10.3 | |
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note | 10.1 | |
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paint | 10 | |
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border | 9.9 | |
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wealth | 9.9 | |
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architecture | 9.4 | |
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clothing | 9.2 | |
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business | 9.1 | |
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obsolete | 8.6 | |
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damaged | 8.6 | |
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burlap | 8.4 | |
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black | 8.4 | |
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gray | 8.1 | |
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religion | 8.1 | |
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light | 8 | |
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artistic | 7.8 | |
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face | 7.8 | |
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space | 7.8 | |
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empty | 7.7 | |
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stained | 7.7 | |
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parchment | 7.7 | |
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aging | 7.7 | |
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worn | 7.6 | |
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leather | 7.6 | |
|
Google
created on 2018-04-19
crucifix | 90 | |
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religious item | 90 | |
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mythology | 81.1 | |
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black and white | 80.9 | |
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figure drawing | 74.9 | |
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muscle | 72.7 | |
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artifact | 70.7 | |
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art | 67.1 | |
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cross | 65.7 | |
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classical sculpture | 65.5 | |
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monochrome | 56.7 | |
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art model | 56.2 | |
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history | 56.1 | |
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symbol | 56 | |
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artwork | 52.8 | |
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chest | 52.2 | |
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visual arts | 51.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 45-63 |
Gender | Male, 76.7% |
Angry | 3.3% |
Surprised | 4.7% |
Confused | 19.1% |
Disgusted | 2.8% |
Happy | 1% |
Sad | 52.1% |
Calm | 17% |
Feature analysis
Text analysis
Amazon
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PRO
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NOBIS.
ad
Paul
Maratti
R
TRADIDIT SEMETIPSVM PRO NOBIS. Paul ad Philipp v
Philipp
Collignomi
R Andenaemd foulps Fran Collignomi formis Roma
formis
arlo
arlo Maratti pinse
INR
foulps
Andenaemd
Roma
pinse
v
Philp
Y
rlo
TRADIDIT SEMETIP SVM PRO NOBIS Paulad Philp Y
rlo Maratti pinse
TRADIDIT
SEMETIP
SVM
PRO
NOBIS
Paulad
Maratti
pinse