Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2019-02-18
Imagga
created on 2019-02-18
tile | 41 | |
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mosaic | 34.2 | |
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vintage | 32.3 | |
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map | 30.1 | |
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art | 28 | |
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old | 24.4 | |
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paper | 24.3 | |
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retro | 23.8 | |
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currency | 20.7 | |
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money | 20.4 | |
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representation | 20.4 | |
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ancient | 19.9 | |
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stamp | 19.7 | |
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antique | 19.2 | |
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decoration | 17.9 | |
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envelope | 17.6 | |
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pattern | 17.1 | |
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finance | 16.9 | |
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transducer | 16.8 | |
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texture | 16.7 | |
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cash | 16.5 | |
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16.3 | ||
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dollar | 15.8 | |
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postmark | 15.8 | |
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letter | 15.6 | |
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postage | 14.8 | |
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grunge | 14.5 | |
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bank | 13.5 | |
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history | 13.4 | |
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design | 13 | |
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symbol | 12.8 | |
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electrical device | 12.6 | |
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dollars | 12.6 | |
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drawing | 12.5 | |
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financial | 12.5 | |
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graffito | 12.1 | |
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banking | 12 | |
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philately | 11.9 | |
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religion | 11.7 | |
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geography | 11.6 | |
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post | 11.5 | |
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business | 10.9 | |
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collection | 10.8 | |
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postal | 10.8 | |
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comic book | 10.8 | |
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travel | 10.6 | |
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bill | 10.5 | |
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sketch | 10.4 | |
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card | 10.3 | |
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culture | 9.4 | |
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historic | 9.2 | |
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traditional | 9.2 | |
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close | 9.1 | |
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global | 9.1 | |
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aged | 9.1 | |
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border | 9.1 | |
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wealth | 9 | |
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world | 8.9 | |
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device | 8.9 | |
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notes | 8.6 | |
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economy | 8.4 | |
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church | 8.3 | |
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note | 8.3 | |
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gold | 8.2 | |
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printed | 7.9 | |
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binding | 7.9 | |
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banknote | 7.8 | |
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states | 7.7 | |
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us | 7.7 | |
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exchange | 7.6 | |
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frame | 7.6 | |
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capital | 7.6 | |
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one | 7.5 | |
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savings | 7.5 | |
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investment | 7.3 | |
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ornate | 7.3 | |
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Google
created on 2019-02-18
Painting | 86.5 | |
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Art | 86.1 | |
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History | 79.4 | |
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Miniature | 72.8 | |
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Middle ages | 60.5 | |
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Illustration | 50.4 | |
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Microsoft
created on 2019-02-18
woodcut | 24.2 | |
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art | 9.2 | |
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manuscript | 3.7 | |
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illustration | 3.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 6-14 |
Gender | Female, 99.9% |
Calm | 80.9% |
Fear | 13.4% |
Surprised | 6.5% |
Sad | 3.1% |
Angry | 0.8% |
Disgusted | 0.6% |
Happy | 0.6% |
Confused | 0.5% |
Microsoft Cognitive Services
Age | 31 |
Gender | Female |
Microsoft Cognitive Services
Age | 30 |
Gender | Female |
Feature analysis
Amazon
Person | 97.9% | |
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Text analysis
Amazon
Toraphat
rofaphat
tofaphat
1oraphat
1oraphat