Machine Generated Data
Tags
Amazon
created on 2019-05-31
Clarifai
created on 2019-05-31
Imagga
created on 2019-05-31
sketch | 100 | |
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drawing | 100 | |
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representation | 83.5 | |
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art | 30.5 | |
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money | 23 | |
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religion | 22.4 | |
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vintage | 21.5 | |
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statue | 21.1 | |
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ancient | 20.8 | |
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currency | 20.7 | |
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sculpture | 19.7 | |
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paper | 18.8 | |
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culture | 18.8 | |
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dollar | 18.6 | |
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symbol | 18.2 | |
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cash | 17.4 | |
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old | 16.7 | |
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history | 16.1 | |
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banking | 15.6 | |
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wealth | 15.3 | |
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antique | 14.4 | |
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god | 14.4 | |
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financial | 14.3 | |
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one | 14.2 | |
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church | 13.9 | |
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dollars | 13.5 | |
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finance | 13.5 | |
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bank | 13.5 | |
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religious | 13.1 | |
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savings | 13.1 | |
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bill | 12.4 | |
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business | 12.2 | |
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face | 12.1 | |
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detail | 12.1 | |
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architecture | 11.7 | |
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spirituality | 11.5 | |
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retro | 11.5 | |
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closeup | 11.5 | |
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man | 10.8 | |
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us | 10.6 | |
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loan | 10.6 | |
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exchange | 10.5 | |
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temple | 10.5 | |
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museum | 10.3 | |
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rich | 10.3 | |
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stone | 10.1 | |
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stamp | 9.9 | |
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postmark | 9.9 | |
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figure | 9.9 | |
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close | 9.7 | |
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black | 9.6 | |
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9.6 | ||
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fine | 9.5 | |
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decoration | 9.4 | |
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grunge | 9.4 | |
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economy | 9.3 | |
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decorative | 9.2 | |
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investment | 9.2 | |
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artwork | 9.2 | |
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portrait | 9.1 | |
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sign | 9 | |
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design | 9 | |
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postage | 8.9 | |
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postal | 8.8 | |
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travel | 8.5 | |
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head | 8.4 | |
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letter | 8.3 | |
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style | 8.2 | |
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envelope | 8.2 | |
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icon | 7.9 | |
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carving | 7.8 | |
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bills | 7.8 | |
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hundred | 7.8 | |
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golden | 7.7 | |
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holy | 7.7 | |
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post | 7.6 | |
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capital | 7.6 | |
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historical | 7.5 | |
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traditional | 7.5 | |
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global | 7.3 | |
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Google
created on 2019-05-31
Drawing | 86.8 | |
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Art | 84.4 | |
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Sketch | 82.7 | |
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Painting | 79.3 | |
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Illustration | 73.8 | |
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Facial hair | 73.1 | |
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Self-portrait | 71.1 | |
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Artwork | 70.1 | |
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Portrait | 61.5 | |
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Picture frame | 54.8 | |
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Gentleman | 51.3 | |
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Microsoft
created on 2019-05-31
drawing | 99.8 | |
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sketch | 99.6 | |
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text | 97.5 | |
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illustration | 95.5 | |
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cartoon | 90.7 | |
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art | 88.6 | |
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person | 82.6 | |
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human face | 70.7 | |
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child art | 57.5 | |
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man | 55.9 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-55 |
Gender | Male, 74% |
Happy | 3.9% |
Confused | 11.3% |
Disgusted | 2.7% |
Sad | 23.5% |
Calm | 44% |
Angry | 8.3% |
Surprised | 6.3% |
Microsoft Cognitive Services
Age | 56 |
Gender | Male |
Feature analysis
Amazon
Person | 91.9% | |
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Text analysis
Amazon
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