Machine Generated Data
Tags
Clarifai
created on 2020-04-26
Imagga
created on 2020-04-26
sketch | 97.3 | |
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drawing | 74.2 | |
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representation | 62.7 | |
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book jacket | 49.5 | |
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jacket | 38.6 | |
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wrapping | 29.3 | |
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vintage | 25.6 | |
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paper | 21.4 | |
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money | 21.3 | |
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covering | 20.6 | |
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old | 20.2 | |
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envelope | 20.1 | |
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art | 19.8 | |
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currency | 19.8 | |
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antique | 18.2 | |
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cash | 16.5 | |
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stamp | 16.5 | |
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ancient | 16.4 | |
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grunge | 16.2 | |
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postmark | 15.8 | |
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retro | 15.6 | |
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15.3 | ||
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dollar | 14.9 | |
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postage | 14.7 | |
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postal | 14.7 | |
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bill | 14.3 | |
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banking | 13.8 | |
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letter | 13.8 | |
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close | 13.7 | |
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symbol | 13.5 | |
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religion | 13.4 | |
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one | 12.7 | |
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finance | 12.7 | |
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aged | 12.7 | |
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bank | 12.5 | |
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texture | 12.5 | |
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financial | 12.5 | |
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portrait | 12.3 | |
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face | 12.1 | |
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economy | 12.1 | |
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post | 11.4 | |
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man | 11.4 | |
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card | 11.4 | |
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page | 11.1 | |
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culture | 11.1 | |
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business | 10.9 | |
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closeup | 10.8 | |
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design | 10.5 | |
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savings | 10.3 | |
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church | 10.2 | |
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note | 10.1 | |
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wealth | 9.9 | |
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philately | 9.9 | |
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artwork | 9.2 | |
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black | 9 | |
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masterpiece | 8.9 | |
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banknote | 8.7 | |
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icon | 8.7 | |
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god | 8.6 | |
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exchange | 8.6 | |
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male | 8.5 | |
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floral | 8.5 | |
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religious | 8.4 | |
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head | 8.4 | |
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investment | 8.3 | |
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pattern | 8.2 | |
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office | 8 | |
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museum | 8 | |
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circa | 7.9 | |
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shows | 7.9 | |
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printed | 7.9 | |
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twenty | 7.9 | |
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golden | 7.7 | |
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dollars | 7.7 | |
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parchment | 7.7 | |
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notes | 7.7 | |
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worn | 7.6 | |
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sign | 7.5 | |
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frame | 7.5 | |
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message | 7.3 | |
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global | 7.3 | |
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detail | 7.2 | |
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market | 7.1 | |
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textured | 7 | |
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Google
created on 2020-04-26
Photograph | 96.2 | |
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Drawing | 87.7 | |
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Picture frame | 79.4 | |
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Sketch | 73.2 | |
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Portrait | 66.6 | |
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Art | 65.5 | |
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Illustration | 60.2 | |
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Artwork | 60.1 | |
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Paper product | 50.3 | |
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Microsoft
created on 2020-04-26
sketch | 99.8 | |
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drawing | 99.8 | |
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human face | 93.1 | |
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text | 92.9 | |
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child art | 92.3 | |
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painting | 92.2 | |
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art | 88.2 | |
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person | 66.5 | |
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sign | 60.9 | |
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picture frame | 6.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 22-34 |
Gender | Male, 99.5% |
Fear | 0.6% |
Sad | 16% |
Surprised | 0.5% |
Disgusted | 0.8% |
Calm | 77.2% |
Happy | 0.9% |
Angry | 2.5% |
Confused | 1.4% |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Feature analysis
Amazon
Person | 97.1% | |
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