Machine Generated Data
Tags
Amazon
created on 2019-11-06
Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
mug shot | 41.3 | |
| ||
creation | 34.8 | |
| ||
photograph | 32.2 | |
| ||
representation | 29.9 | |
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money | 29.8 | |
| ||
currency | 26 | |
| ||
portrait | 23.3 | |
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dollar | 21.3 | |
| ||
person | 20.1 | |
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cash | 19.2 | |
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business | 18.8 | |
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face | 18.5 | |
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magazine | 18.4 | |
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bill | 18.1 | |
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product | 18 | |
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people | 17.8 | |
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close | 17.1 | |
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vintage | 16.5 | |
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stamp | 16.4 | |
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bank | 16.3 | |
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16.3 | ||
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paper | 15.7 | |
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banking | 15.6 | |
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finance | 15.2 | |
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man | 15 | |
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model | 14.8 | |
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hair | 14.3 | |
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financial | 14.3 | |
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black | 13.9 | |
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postmark | 13.8 | |
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postage | 13.8 | |
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fashion | 13.6 | |
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one | 13.4 | |
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retro | 13.1 | |
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letter | 12.8 | |
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male | 12.8 | |
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postal | 12.8 | |
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banknote | 12.6 | |
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wealth | 12.6 | |
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old | 12.5 | |
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exchange | 12.4 | |
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envelope | 12.2 | |
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cute | 12.2 | |
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philately | 11.8 | |
| ||
head | 11.8 | |
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adult | 11.6 | |
| ||
dollars | 11.6 | |
| ||
pretty | 11.2 | |
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attractive | 11.2 | |
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closeup | 10.8 | |
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hundred | 10.7 | |
| ||
us | 10.6 | |
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art | 10.6 | |
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human | 10.5 | |
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card | 10.3 | |
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savings | 10.3 | |
| ||
circa | 9.9 | |
| ||
lady | 9.7 | |
| ||
success | 9.7 | |
| ||
style | 9.6 | |
| ||
office | 9.6 | |
| ||
sexy | 9.6 | |
| ||
economy | 9.3 | |
| ||
note | 9.2 | |
| ||
market | 8.9 | |
| ||
printed | 8.9 | |
| ||
commerce | 8.4 | |
| ||
investment | 8.3 | |
| ||
makeup | 8.2 | |
| ||
happy | 8.1 | |
| ||
skin | 7.7 | |
| ||
payment | 7.7 | |
| ||
culture | 7.7 | |
| ||
notes | 7.7 | |
| ||
united | 7.6 | |
| ||
power | 7.6 | |
| ||
message | 7.3 | |
| ||
sensuality | 7.3 | |
| ||
make | 7.3 | |
| ||
aged | 7.2 | |
| ||
design | 7.2 | |
| ||
women | 7.1 | |
| ||
posing | 7.1 | |
|
Google
created on 2019-11-06
Retro style | 82.6 | |
| ||
Gentleman | 73.5 | |
| ||
Illustration | 72.5 | |
| ||
Vintage clothing | 69.9 | |
| ||
Vintage advertisement | 53.1 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 50-68 |
Gender | Male, 85.1% |
Disgusted | 0.6% |
Sad | 0.1% |
Angry | 93.6% |
Happy | 0.1% |
Confused | 0.3% |
Surprised | 2.7% |
Fear | 2.2% |
Calm | 0.3% |
AWS Rekognition
Age | 34-50 |
Gender | Male, 96.1% |
Fear | 2.8% |
Confused | 6.2% |
Happy | 0.1% |
Angry | 19.5% |
Disgusted | 0.6% |
Surprised | 1.5% |
Calm | 41.6% |
Sad | 27.7% |
Microsoft Cognitive Services
Age | 70 |
Gender | Female |
Feature analysis
Text analysis
Amazon
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