Machine Generated Data
Tags
Amazon
created on 2019-10-29
Clarifai
created on 2019-10-29
Imagga
created on 2019-10-29
sketch | 100 | |
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drawing | 100 | |
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representation | 84.6 | |
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money | 42.6 | |
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currency | 40.4 | |
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cash | 35.7 | |
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dollar | 32.5 | |
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paper | 29.8 | |
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finance | 29.6 | |
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bank | 28.7 | |
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banking | 28.5 | |
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financial | 26.8 | |
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bill | 26.7 | |
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wealth | 25.2 | |
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dollars | 24.2 | |
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business | 21.3 | |
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savings | 20.5 | |
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close | 19.4 | |
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us | 18.3 | |
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one | 17.9 | |
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economy | 17.6 | |
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exchange | 17.2 | |
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vintage | 16.6 | |
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bills | 16.5 | |
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art | 16 | |
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rich | 15.8 | |
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banknotes | 15.7 | |
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banknote | 15.6 | |
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hundred | 15.5 | |
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pay | 15.4 | |
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graffito | 14.8 | |
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finances | 14.5 | |
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loan | 14.4 | |
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old | 14 | |
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note | 13.8 | |
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investment | 13.8 | |
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closeup | 13.5 | |
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antique | 13 | |
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franklin | 12.8 | |
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decoration | 12.8 | |
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ancient | 12.1 | |
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stamp | 12 | |
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retro | 11.5 | |
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postmark | 10.9 | |
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market | 10.7 | |
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payment | 10.6 | |
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notes | 10.6 | |
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10.5 | ||
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profit | 10.5 | |
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envelope | 10.2 | |
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twenty | 9.9 | |
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postage | 9.8 | |
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postal | 9.8 | |
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funds | 9.8 | |
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economic | 9.7 | |
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capital | 9.5 | |
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culture | 9.4 | |
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commerce | 9.3 | |
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church | 9.3 | |
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letter | 9.2 | |
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religion | 9 | |
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printed | 8.9 | |
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invest | 8.7 | |
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pound | 8.7 | |
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painter | 8.4 | |
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book jacket | 8.3 | |
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global | 8.2 | |
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man | 8.1 | |
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history | 8.1 | |
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success | 8.1 | |
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mosaic | 8 | |
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masterpiece | 7.9 | |
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shows | 7.9 | |
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architecture | 7.8 | |
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design | 7.8 | |
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museum | 7.8 | |
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states | 7.7 | |
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debt | 7.7 | |
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grunge | 7.7 | |
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post | 7.6 | |
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symbol | 7.4 | |
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black | 7.2 | |
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icon | 7.1 | |
|
Google
created on 2019-10-29
Facial hair | 90.2 | |
| ||
Text | 89 | |
| ||
Illustration | 78.4 | |
| ||
Art | 73.1 | |
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Beard | 63.6 | |
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Drawing | 59.3 | |
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Paper | 57 | |
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Moustache | 56 | |
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History | 54.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 44-62 |
Gender | Male, 92% |
Happy | 0.2% |
Angry | 2.2% |
Disgusted | 2.4% |
Surprised | 0.6% |
Sad | 8.6% |
Calm | 82.4% |
Confused | 0.9% |
Fear | 2.7% |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Feature analysis
Amazon
Person | 93.3% | |
|
Text analysis
Amazon
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