Machine Generated Data
Tags
Amazon
created on 2019-10-30
Clarifai
created on 2019-10-30
Imagga
created on 2019-10-30
sketch | 100 | |
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drawing | 100 | |
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representation | 94.1 | |
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vintage | 27.3 | |
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old | 25.1 | |
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art | 24.7 | |
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retro | 22.1 | |
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stamp | 21.5 | |
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paper | 21.2 | |
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ancient | 20.8 | |
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money | 18.7 | |
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18.2 | ||
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cash | 17.4 | |
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currency | 17.1 | |
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history | 17 | |
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postmark | 15.8 | |
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antique | 15.6 | |
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grunge | 15.3 | |
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postage | 14.8 | |
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postal | 14.7 | |
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banking | 14.7 | |
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letter | 13.8 | |
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financial | 13.4 | |
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post | 13.4 | |
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decoration | 13.3 | |
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design | 13.1 | |
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dollar | 13 | |
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symbol | 12.8 | |
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finance | 12.7 | |
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wealth | 12.6 | |
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bank | 12.5 | |
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detail | 12.1 | |
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envelope | 11.7 | |
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close | 11.4 | |
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savings | 11.2 | |
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rich | 11.2 | |
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texture | 11.1 | |
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culture | 11.1 | |
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book jacket | 11 | |
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business | 10.9 | |
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us | 10.6 | |
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one | 10.5 | |
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pattern | 10.3 | |
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black | 10.2 | |
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dollars | 9.7 | |
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exchange | 9.5 | |
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temple | 9.5 | |
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closeup | 9.4 | |
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economy | 9.3 | |
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global | 9.1 | |
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painting | 9 | |
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religion | 9 | |
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man | 8.7 | |
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loan | 8.6 | |
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jacket | 8.6 | |
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card | 8.5 | |
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sculpture | 8.5 | |
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frame | 8.3 | |
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note | 8.3 | |
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paint | 8.1 | |
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graphic | 8 | |
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philately | 7.9 | |
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printed | 7.9 | |
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funds | 7.8 | |
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architecture | 7.8 | |
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banknote | 7.8 | |
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ornament | 7.8 | |
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wall | 7.7 | |
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pay | 7.7 | |
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god | 7.7 | |
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bill | 7.6 | |
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decorative | 7.5 | |
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monument | 7.5 | |
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famous | 7.4 | |
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style | 7.4 | |
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investment | 7.3 | |
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artwork | 7.3 | |
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backgrounds | 7.3 | |
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landmark | 7.2 | |
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collection | 7.2 | |
|
Google
created on 2019-10-30
Painting | 82 | |
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Art | 81.3 | |
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Illustration | 78.4 | |
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Fictional character | 64.2 | |
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Printmaking | 59 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 19-31 |
Gender | Female, 50.8% |
Calm | 54% |
Happy | 45% |
Disgusted | 45.1% |
Sad | 45.5% |
Confused | 45% |
Angry | 45.2% |
Fear | 45% |
Surprised | 45% |
Feature analysis
Text analysis
Amazon
VECELLIVS
TITIANVS
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TrITIANVS VECELLINS CAD INVENT&NIT
TrITIANVS
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INVENT&NIT