Machine Generated Data
Tags
Amazon
created on 2019-11-09
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
knocker | 70.1 | |
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device | 52.4 | |
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money | 28.9 | |
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cash | 25.6 | |
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currency | 24.2 | |
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shield | 22.5 | |
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dollar | 22.3 | |
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old | 21.6 | |
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finance | 21.1 | |
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paper | 20.4 | |
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vintage | 19.8 | |
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financial | 19.6 | |
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business | 19.4 | |
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bank | 17.9 | |
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banking | 17.5 | |
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armor | 17.3 | |
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antique | 17.3 | |
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stucco | 15.6 | |
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detail | 15.3 | |
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wealth | 15.3 | |
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one | 14.9 | |
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close | 14.8 | |
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retro | 14.7 | |
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ancient | 14.7 | |
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dollars | 14.5 | |
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pay | 14.4 | |
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bill | 14.3 | |
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protective covering | 13.8 | |
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finances | 13.5 | |
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exchange | 13.4 | |
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metal | 12.9 | |
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closeup | 12.8 | |
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art | 12.8 | |
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design | 12.4 | |
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door | 12.4 | |
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savings | 12.1 | |
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economy | 12 | |
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texture | 11.8 | |
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architecture | 11.7 | |
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frame | 11.6 | |
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banknote | 11.6 | |
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hundred | 11.6 | |
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rich | 11.2 | |
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symbol | 10.8 | |
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face | 10.7 | |
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covering | 10.6 | |
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us | 10.6 | |
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commerce | 10.3 | |
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entrance | 9.7 | |
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black | 9.6 | |
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push button | 9.6 | |
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price | 9.6 | |
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grunge | 9.4 | |
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reflection | 9.2 | |
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gold | 9 | |
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world | 8.9 | |
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banknotes | 8.8 | |
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decoration | 8.7 | |
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bills | 8.7 | |
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stamp | 8.7 | |
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post | 8.6 | |
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framework | 8.6 | |
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card | 8.5 | |
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window | 8.5 | |
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head | 8.4 | |
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wood | 8.3 | |
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pattern | 8.2 | |
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global | 8.2 | |
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concepts | 8 | |
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wooden | 7.9 | |
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wall | 7.7 | |
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payment | 7.7 | |
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loan | 7.7 | |
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7.7 | ||
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style | 7.4 | |
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investment | 7.3 | |
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success | 7.2 | |
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silver | 7.1 | |
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washer | 7 | |
|
Google
created on 2019-11-09
Photograph | 96.1 | |
| ||
Art | 78.1 | |
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Picture frame | 77.1 | |
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Stock photography | 76.8 | |
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Illustration | 70.1 | |
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History | 67.6 | |
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Facial hair | 64.8 | |
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Painting | 57.1 | |
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Collection | 57.1 | |
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Portrait | 55.1 | |
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Antique | 53 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 77-91 |
Gender | Male, 71.9% |
Angry | 0.1% |
Sad | 0.2% |
Disgusted | 0% |
Fear | 0% |
Happy | 97% |
Calm | 2.2% |
Surprised | 0.3% |
Confused | 0.1% |
Microsoft Cognitive Services
Age | 71 |
Gender | Female |
Feature analysis
Amazon
Person | 96.9% | |
|
Text analysis
Amazon
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