Machine Generated Data
Tags
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 | 90.8 | |
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money | 40 | |
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currency | 39.5 | |
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dollar | 34.4 | |
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paper | 31.4 | |
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cash | 31.2 | |
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finance | 27.9 | |
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bank | 27.8 | |
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banking | 26.7 | |
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wealth | 26.1 | |
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bill | 23.8 | |
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financial | 22.3 | |
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dollars | 22.2 | |
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savings | 21.5 | |
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business | 20.7 | |
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hundred | 19.4 | |
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loan | 19.2 | |
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vintage | 18.2 | |
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exchange | 18.2 | |
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us | 17.4 | |
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rich | 16.8 | |
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economy | 16.7 | |
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close | 16.6 | |
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bills | 16.5 | |
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investment | 16.5 | |
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retro | 16.4 | |
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finances | 15.4 | |
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one | 14.9 | |
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old | 14.6 | |
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banknote | 14.6 | |
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art | 13.5 | |
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pay | 13.4 | |
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sign | 12 | |
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stamp | 11.9 | |
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postmark | 11.8 | |
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franklin | 11.8 | |
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debt | 11.6 | |
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market | 11.6 | |
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11.5 | ||
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closeup | 11.5 | |
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success | 11.3 | |
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letter | 11 | |
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pattern | 11 | |
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postage | 10.8 | |
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design | 10.8 | |
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banknotes | 10.8 | |
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paying | 10.7 | |
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capital | 10.6 | |
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number | 10.3 | |
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symbol | 10.1 | |
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postal | 9.8 | |
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ancient | 9.5 | |
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note | 9.2 | |
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concepts | 8.9 | |
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man | 8.8 | |
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wages | 8.8 | |
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economic | 8.7 | |
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face | 8.5 | |
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grunge | 8.5 | |
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texture | 8.3 | |
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antique | 8.1 | |
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religion | 8.1 | |
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envelope | 7.9 | |
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philately | 7.9 | |
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funds | 7.8 | |
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rate | 7.8 | |
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payment | 7.7 | |
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decorative | 7.5 | |
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stock | 7.5 | |
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commerce | 7.5 | |
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backgrounds | 7.3 | |
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aged | 7.2 | |
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collection | 7.2 | |
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history | 7.2 | |
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Google
created on 2019-05-31
Drawing | 96.4 | |
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Sketch | 95.7 | |
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Head | 88.4 | |
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Line art | 86.8 | |
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Figure drawing | 79.1 | |
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Illustration | 78.7 | |
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Artwork | 75.2 | |
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Art | 74 | |
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Child art | 60.2 | |
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Portrait | 56.7 | |
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Microsoft
created on 2019-05-31
sketch | 99.7 | |
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drawing | 99.4 | |
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art | 93.3 | |
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text | 88.9 | |
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illustration | 88.1 | |
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human face | 84.8 | |
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child art | 83.7 | |
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cartoon | 52.6 | |
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linedrawing | 22.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 72.2% |
Sad | 54.2% |
Angry | 1.7% |
Disgusted | 0.8% |
Surprised | 1.3% |
Happy | 3.6% |
Calm | 36.3% |
Confused | 2% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 79.1% |
Disgusted | 7.3% |
Calm | 8.9% |
Angry | 8.7% |
Sad | 25% |
Surprised | 32.7% |
Happy | 6.8% |
Confused | 10.6% |
Feature analysis
Amazon
Person | 89.2% | |
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