Machine Generated Data
Tags
Clarifai
created on 2023-10-13
Imagga
created on 2022-10-20
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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money | 30.7 | |
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mug shot | 28.7 | |
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currency | 27.9 | |
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cash | 27.5 | |
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dollar | 25.1 | |
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bill | 24.8 | |
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portrait | 23.3 | |
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photograph | 22.3 | |
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face | 22 | |
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close | 20.6 | |
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banking | 20.2 | |
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bank | 19.7 | |
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finance | 19.5 | |
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paper | 18.8 | |
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man | 18.8 | |
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hundred | 16.5 | |
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statue | 16.4 | |
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wealth | 16.2 | |
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financial | 16.1 | |
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one | 15.7 | |
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old | 15.3 | |
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business | 15.2 | |
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ancient | 14.7 | |
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sculpture | 14.6 | |
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us | 14.5 | |
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banknotes | 13.7 | |
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dollars | 13.5 | |
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male | 13.5 | |
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closeup | 13.5 | |
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art | 13.1 | |
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franklin | 12.8 | |
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head | 12.6 | |
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pay | 12.5 | |
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exchange | 12.4 | |
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creation | 12.4 | |
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savings | 12.1 | |
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banknote | 11.7 | |
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adult | 11 | |
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stone | 11 | |
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person | 10.6 | |
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finances | 10.6 | |
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payment | 10.6 | |
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loan | 10.6 | |
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detail | 10.5 | |
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rich | 10.2 | |
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economic | 9.7 | |
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figure | 9.6 | |
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vintage | 9.1 | |
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human | 9 | |
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religion | 9 | |
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hair | 8.7 | |
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antique | 8.7 | |
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god | 8.6 | |
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eyes | 8.6 | |
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architecture | 8.6 | |
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culture | 8.6 | |
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expression | 8.5 | |
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commerce | 8.4 | |
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people | 8.4 | |
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economy | 8.4 | |
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bust | 8.3 | |
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bills | 7.8 | |
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notes | 7.7 | |
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monument | 7.5 | |
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famous | 7.5 | |
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church | 7.4 | |
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investment | 7.3 | |
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mask | 7.1 | |
|
Google
created on 2022-10-20
Nose | 98.4 | |
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Eyebrow | 93.8 | |
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Jaw | 88.1 | |
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Art | 82.6 | |
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Beard | 77.1 | |
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Painting | 73.1 | |
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Drawing | 71.9 | |
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Figure drawing | 71.8 | |
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Font | 70.8 | |
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Self-portrait | 70 | |
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Illustration | 67.6 | |
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Visual arts | 67 | |
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Monochrome | 64.3 | |
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Facial hair | 63.7 | |
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Line art | 63.2 | |
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Artwork | 61.3 | |
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Sketch | 60.7 | |
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Portrait | 58.5 | |
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No expression | 58.3 | |
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Ink | 57.7 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-33 |
Gender | Female, 99.5% |
Sad | 99.9% |
Calm | 13.5% |
Fear | 7.9% |
Surprised | 6.5% |
Disgusted | 3.9% |
Confused | 0.7% |
Angry | 0.6% |
Happy | 0.4% |
Microsoft Cognitive Services
Age | 28 |
Gender | Male |
Feature analysis
Amazon
Person | 97.6% | |
|
Text analysis
Amazon
gets
for
him
having
when
10/10
away
so
be
back...
miss
long...
I'll
I
hard
Its I'll long... hard be stad having I miss when him Barry him:.. away gets for so
Barry
Its
him:..
stad
10/10
glad
when
Porry
gets
It's
having
long
...
so
10/10
I'll be glad when Porry gets back...
It's hard having him
away
long... I miss him...
вот
so
Standalon
I'll
be
back
hard
him
away
I
miss
вот
Standalon