Machine Generated Data
Tags
Amazon
created on 2019-11-10
Art | 95.6 | |
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Human | 95.6 | |
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Person | 95.6 | |
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Painting | 72.3 | |
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Archaeology | 71.2 | |
|
Clarifai
created on 2019-11-10
illustration | 99.9 | |
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99.9 | ||
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art | 99.8 | |
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people | 99.8 | |
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engraving | 99.2 | |
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etching | 98.2 | |
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antique | 97.6 | |
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man | 97.4 | |
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adult | 96.5 | |
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vintage | 95.5 | |
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lithograph | 94.9 | |
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painting | 94.5 | |
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old | 94.1 | |
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visuals | 93.8 | |
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one | 93.6 | |
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paper | 92.5 | |
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portrait | 91.6 | |
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book bindings | 91.1 | |
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Renaissance | 90.3 | |
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sepia pigment | 89.2 | |
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Imagga
created on 2019-11-10
drawing | 100 | |
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representation | 100 | |
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sketch | 100 | |
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sculpture | 32.9 | |
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statue | 32 | |
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art | 25.5 | |
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architecture | 24.2 | |
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religion | 22.4 | |
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culture | 21.4 | |
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ancient | 20.8 | |
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old | 19.5 | |
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history | 18.8 | |
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stone | 18.6 | |
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religious | 16.9 | |
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decoration | 15.6 | |
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carving | 14.9 | |
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god | 14.4 | |
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monument | 14 | |
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money | 13.6 | |
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holy | 13.5 | |
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famous | 13 | |
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antique | 13 | |
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church | 13 | |
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face | 12.8 | |
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tourism | 12.4 | |
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temple | 12.3 | |
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historical | 12.2 | |
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detail | 12.1 | |
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travel | 12 | |
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historic | 11.9 | |
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building | 11.9 | |
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catholic | 11.7 | |
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city | 11.7 | |
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symbol | 11.5 | |
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close | 11.4 | |
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dollar | 11.1 | |
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cash | 11 | |
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paper | 11 | |
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figure | 11 | |
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currency | 10.8 | |
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vintage | 10.8 | |
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marble | 10.7 | |
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decorative | 10 | |
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landmark | 9.9 | |
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design | 9.9 | |
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closeup | 9.4 | |
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banking | 9.2 | |
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traditional | 9.2 | |
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bank | 9 | |
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museum | 8.7 | |
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spiritual | 8.6 | |
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spirituality | 8.6 | |
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grunge | 8.5 | |
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wealth | 8.1 | |
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carved | 7.8 | |
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artistic | 7.8 | |
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angel | 7.8 | |
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portrait | 7.8 | |
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dollars | 7.7 | |
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bill | 7.6 | |
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head | 7.6 | |
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one | 7.5 | |
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man | 7.4 | |
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tourist | 7.3 | |
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body | 7.2 | |
|
Google
created on 2019-11-10
Painting | 83.9 | |
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Illustration | 83.3 | |
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Art | 82.9 | |
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Drawing | 78.7 | |
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Stock photography | 62.1 | |
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Mythology | 61.3 | |
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Visual arts | 59.3 | |
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Artwork | 58 | |
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Sketch | 55.2 | |
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Fictional character | 52.8 | |
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Figure drawing | 50.1 | |
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Face analysis
Amazon

AWS Rekognition
Age | 23-35 |
Gender | Female, 70.2% |
Fear | 0% |
Happy | 0.4% |
Angry | 0.6% |
Surprised | 0% |
Sad | 0.8% |
Disgusted | 0.1% |
Confused | 0% |
Calm | 97.9% |
Feature analysis
Captions
Microsoft
a close up of a person holding a book | 40.9% | |
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a person holding a book | 40.8% | |
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a close up of a book | 40.7% | |
|
Text analysis
Amazon

BENIAMIN

fempore

uera

Sum

minimus

prada

enixu

in

Me

Beniaminus

Cananea

Lupu

natu

nafu

In

umere

uocaf

Me Seriplura Lupu nafu con umere prada In matufino fempore uera uocaf

Mafer

Sum natu minimus Beniaminus exc Cananea Mafer in enixu eft morfe perempfa mea

matufino

morfe

perempfa

con

exc

eft

Seriplura

mea

Beniaminus

Cananea

in

enicu

mea

Lupi

mafufino

nafu

eft

ΒΕΝIAΜIN
Sum nafu minimus Beniaminus exc Cananea Mafer in enicu eft morfe perempfa mea
Me fariphura Lupi nafi confumere prada In mafufino fempore uera uocat

minimus

nafi

confumere

In

uera

ΒΕΝIAΜIN

Sum

Mafer

morfe

perempfa

Me

fariphura

prada

uocat

exc

fempore