Machine Generated Data
Tags
Amazon
created on 2023-10-24
Clarifai
created on 2019-02-19
Imagga
created on 2019-02-19
newspaper | 63.5 | |
| ||
product | 48.4 | |
| ||
creation | 40.9 | |
| ||
art | 24.5 | |
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ancient | 23.3 | |
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old | 21.6 | |
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vintage | 21.2 | |
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sculpture | 21.2 | |
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daily | 20.8 | |
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book jacket | 19.5 | |
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currency | 18.8 | |
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religion | 18.8 | |
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money | 18.7 | |
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history | 17.9 | |
| ||
statue | 17.5 | |
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architecture | 16.4 | |
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paper | 15.7 | |
| ||
cash | 15.6 | |
| ||
jacket | 15.2 | |
| ||
antique | 15.1 | |
| ||
dollar | 14.8 | |
| ||
culture | 14.5 | |
| ||
travel | 14.1 | |
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monument | 14 | |
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stone | 13.8 | |
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historical | 13.2 | |
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retro | 13.1 | |
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famous | 13 | |
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business | 12.7 | |
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exchange | 12.4 | |
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tourism | 12.4 | |
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bill | 12.4 | |
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church | 12 | |
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banking | 11.9 | |
| ||
historic | 11.9 | |
| ||
temple | 11.8 | |
| ||
bank | 11.7 | |
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wrapping | 11.5 | |
| ||
finance | 10.1 | |
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aged | 10 | |
| ||
stamp | 9.7 | |
| ||
dollars | 9.7 | |
| ||
spirituality | 9.6 | |
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decoration | 9.4 | |
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religious | 9.4 | |
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economy | 9.3 | |
| ||
letter | 9.2 | |
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city | 9.1 | |
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marble | 9 | |
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one | 9 | |
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postmark | 8.9 | |
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building | 8.8 | |
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banknotes | 8.8 | |
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symbol | 8.7 | |
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8.6 | ||
| ||
united | 8.6 | |
| ||
close | 8.6 | |
| ||
portrait | 8.4 | |
| ||
savings | 8.4 | |
| ||
man | 8.3 | |
| ||
closeup | 8.1 | |
| ||
carving | 8.1 | |
| ||
financial | 8 | |
| ||
market | 8 | |
| ||
covering | 8 | |
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face | 7.8 | |
| ||
bills | 7.8 | |
| ||
states | 7.7 | |
| ||
notes | 7.7 | |
| ||
god | 7.6 | |
| ||
texture | 7.6 | |
| ||
capital | 7.6 | |
| ||
design | 7.3 | |
| ||
global | 7.3 | |
| ||
people | 7.2 | |
| ||
landmark | 7.2 | |
| ||
wealth | 7.2 | |
| ||
column | 7.2 | |
| ||
card | 7.1 | |
|
Google
created on 2019-02-19
Text | 85.2 | |
| ||
Paper | 68.6 | |
| ||
Art | 65.5 | |
| ||
Paper product | 64.3 | |
| ||
Illustration | 60.2 | |
|
Microsoft
created on 2019-02-19
text | 99.7 | |
| ||
museum | 99.7 | |
| ||
old | 57.7 | |
| ||
engraving | 17.8 | |
| ||
needlework | 15.8 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Calm | 98.7% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 1% |
Disgusted | 0.1% |
Confused | 0% |
Angry | 0% |
Feature analysis
Text analysis
Amazon
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