Machine Generated Data
Tags
Amazon
created on 2019-11-06
Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
mug shot | 61 | |
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photograph | 47.4 | |
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representation | 37.5 | |
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creation | 31.1 | |
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money | 29.8 | |
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currency | 26.9 | |
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cash | 26.5 | |
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dollar | 22.3 | |
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man | 22.2 | |
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paper | 22.1 | |
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bill | 21.9 | |
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bank | 20.8 | |
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portrait | 20.7 | |
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business | 20.7 | |
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banking | 20.2 | |
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male | 20 | |
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finance | 19.4 | |
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close | 18.8 | |
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financial | 16.9 | |
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wealth | 16.2 | |
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old | 16 | |
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dollars | 15.5 | |
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person | 15.1 | |
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people | 15.1 | |
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face | 14.2 | |
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one | 14.2 | |
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exchange | 13.4 | |
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serious | 13.3 | |
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black | 12.8 | |
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human | 12.7 | |
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vintage | 12.4 | |
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closeup | 12.1 | |
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savings | 12.1 | |
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ancient | 12.1 | |
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economy | 12.1 | |
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adult | 11.7 | |
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banknote | 11.6 | |
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us | 11.6 | |
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rich | 11.2 | |
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franklin | 10.8 | |
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office | 10.8 | |
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banknotes | 10.8 | |
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bills | 10.7 | |
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pay | 10.5 | |
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loan | 10.5 | |
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investment | 10.1 | |
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hundred | 9.7 | |
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success | 9.7 | |
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finances | 9.6 | |
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sculpture | 9.5 | |
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jacket | 9.5 | |
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expression | 9.4 | |
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head | 9.2 | |
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attractive | 9.1 | |
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newspaper | 9 | |
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religion | 9 | |
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states | 8.7 | |
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product | 8.7 | |
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model | 8.6 | |
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book jacket | 8.3 | |
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market | 8 | |
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world | 8 | |
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envelope | 7.9 | |
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circa | 7.9 | |
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art | 7.9 | |
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antique | 7.8 | |
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economic | 7.8 | |
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stamp | 7.7 | |
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payment | 7.7 | |
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notes | 7.7 | |
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7.7 | ||
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profit | 7.7 | |
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united | 7.6 | |
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statue | 7.6 | |
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studio | 7.6 | |
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capital | 7.6 | |
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stock | 7.5 | |
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commerce | 7.5 | |
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retro | 7.4 | |
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letter | 7.3 | |
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museum | 7.3 | |
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aged | 7.2 | |
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hair | 7.1 | |
|
Google
created on 2019-11-06
Photograph | 96.3 | |
| ||
Portrait | 84 | |
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Picture frame | 74.9 | |
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Vintage clothing | 53.5 | |
| ||
Art | 50.2 | |
|
Microsoft
created on 2019-11-06
human face | 99 | |
| ||
person | 97.5 | |
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text | 97.3 | |
| ||
clothing | 96.6 | |
| ||
portrait | 77.4 | |
| ||
man | 72.7 | |
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old | 66.3 | |
| ||
gallery | 56.5 | |
| ||
drawing | 55.4 | |
| ||
photograph | 53.1 | |
| ||
picture frame | 34.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-40 |
Gender | Male, 99.5% |
Angry | 1.7% |
Happy | 2.7% |
Disgusted | 0.9% |
Sad | 1.9% |
Confused | 1.4% |
Calm | 90.9% |
Surprised | 0.6% |
Fear | 0.1% |
Microsoft Cognitive Services
Age | 37 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 98.7% | |
|
Text analysis
Amazon
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