Machine Generated Data
Tags
Amazon
created on 2019-10-29
Rug | 97.2 | |
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Text | 81.7 | |
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Archaeology | 71.2 | |
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Label | 59.4 | |
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Clarifai
created on 2019-10-29
Imagga
created on 2019-10-29
vintage | 36.4 | |
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paper | 33 | |
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arabesque | 30.2 | |
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old | 29.3 | |
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ancient | 27.7 | |
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stamp | 27.5 | |
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art | 27 | |
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retro | 26.2 | |
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antique | 23.8 | |
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money | 22.1 | |
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22.1 | ||
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grunge | 21.3 | |
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postmark | 20.7 | |
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earthenware | 20.4 | |
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letter | 20.2 | |
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currency | 19.8 | |
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cash | 19.2 | |
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postage | 18.7 | |
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delft | 18.5 | |
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finance | 17.8 | |
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postal | 17.7 | |
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design | 17.1 | |
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ceramic ware | 17 | |
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dollar | 16.7 | |
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bank | 16.1 | |
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history | 16.1 | |
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texture | 16 | |
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pattern | 15.7 | |
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decoration | 15.5 | |
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collection | 15.3 | |
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post | 15.3 | |
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religion | 15.3 | |
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envelope | 14.3 | |
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banking | 13.8 | |
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culture | 13.7 | |
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tile | 13.5 | |
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one | 13.5 | |
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financial | 13.4 | |
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note | 12.9 | |
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philately | 12.9 | |
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banknote | 12.6 | |
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dollars | 12.6 | |
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card | 12.3 | |
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frame | 11.8 | |
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symbol | 11.5 | |
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utensil | 11.1 | |
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global | 11 | |
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aged | 10.9 | |
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printed | 10.8 | |
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binding | 10.6 | |
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close | 10.3 | |
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closeup | 10.1 | |
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stamps | 9.9 | |
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shows | 9.9 | |
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business | 9.7 | |
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us | 9.7 | |
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drawing | 9.2 | |
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traditional | 9.2 | |
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mosaic | 8.8 | |
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used | 8.6 | |
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bill | 8.6 | |
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rich | 8.4 | |
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historic | 8.3 | |
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border | 8.1 | |
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circa | 7.9 | |
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black | 7.8 | |
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bills | 7.8 | |
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parchment | 7.7 | |
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map | 7.7 | |
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pay | 7.7 | |
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obsolete | 7.7 | |
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god | 7.7 | |
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temple | 7.6 | |
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grungy | 7.6 | |
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sketch | 7.5 | |
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savings | 7.5 | |
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style | 7.4 | |
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church | 7.4 | |
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ornate | 7.3 | |
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wealth | 7.2 | |
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representation | 7.1 | |
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Microsoft
created on 2019-10-29
drawing | 99.8 | |
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sketch | 99 | |
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text | 96.9 | |
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book | 96.4 | |
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cartoon | 92.5 | |
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illustration | 82.2 | |
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handwriting | 67.4 | |
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child art | 64.1 | |
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woodcut | 63.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 46-64 |
Gender | Female, 72.2% |
Happy | 1.3% |
Angry | 12.2% |
Surprised | 3.4% |
Sad | 1.3% |
Disgusted | 0.2% |
Confused | 0.2% |
Fear | 1.2% |
Calm | 80.2% |
Microsoft Cognitive Services
Age | 44 |
Gender | Female |
Feature analysis
Amazon
Rug | 97.2% | |
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Text analysis
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