Machine Generated Data
Tags
Amazon
created on 2021-12-15
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-15
comic book | 100 | |
| ||
print media | 45.9 | |
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map | 29.8 | |
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money | 26.4 | |
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old | 21.6 | |
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vintage | 20.7 | |
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currency | 20.7 | |
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paper | 20.5 | |
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cash | 19.2 | |
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finance | 18.6 | |
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geography | 18.3 | |
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world | 17.7 | |
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antique | 16.5 | |
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atlas | 15.8 | |
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banking | 15.6 | |
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retro | 15.6 | |
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bank | 15.2 | |
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wallpaper | 14.6 | |
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pattern | 14.4 | |
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design | 14.3 | |
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globe | 13.9 | |
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envelope | 13.8 | |
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note | 13.8 | |
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continent | 13.6 | |
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country | 13.4 | |
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financial | 13.4 | |
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business | 13.4 | |
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plan | 13.2 | |
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gold | 13.2 | |
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card | 12.8 | |
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travel | 12.7 | |
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discovery | 12.7 | |
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art | 12.7 | |
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notes | 12.5 | |
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capital | 12.3 | |
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nation | 12.3 | |
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planet | 12.3 | |
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symbol | 12.1 | |
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dollar | 12.1 | |
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route | 11.7 | |
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stamp | 11.7 | |
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city | 11.6 | |
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states | 11.6 | |
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navigation | 11.6 | |
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decoration | 11.5 | |
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journey | 11.3 | |
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road | 10.8 | |
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navigate | 10.8 | |
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wealth | 10.8 | |
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location | 10.8 | |
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banknote | 10.7 | |
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exchange | 10.5 | |
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grunge | 10.2 | |
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tourism | 9.9 | |
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geographic | 9.9 | |
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expedition | 9.9 | |
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boundary | 9.9 | |
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find | 9.8 | |
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guide | 9.8 | |
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position | 9.8 | |
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sepia | 9.7 | |
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trade | 9.6 | |
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direction | 9.5 | |
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traditional | 9.2 | |
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explore | 8.8 | |
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banknotes | 8.8 | |
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dutch | 8.8 | |
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tour | 8.7 | |
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black | 8.4 | |
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economy | 8.4 | |
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investment | 8.3 | |
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tile | 8 | |
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holiday | 7.9 | |
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casino | 7.8 | |
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scrapbook | 7.8 | |
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play | 7.8 | |
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7.7 | ||
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floral | 7.7 | |
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texture | 7.6 | |
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fun | 7.5 | |
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savings | 7.5 | |
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heart | 7.4 | |
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global | 7.3 | |
|
Google
created on 2021-12-15
Shimada | 92.2 | |
| ||
Sakko | 83.2 | |
| ||
Art | 82.5 | |
| ||
Pattern | 75.7 | |
| ||
Illustration | 73.1 | |
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Painting | 73.1 | |
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Vintage clothing | 66.4 | |
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Drawing | 65.8 | |
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Paper | 65.5 | |
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Costume design | 64.8 | |
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Font | 61.7 | |
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Carmine | 60.6 | |
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Paper product | 60.5 | |
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Creative arts | 59.3 | |
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Sleeve | 55.9 | |
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Vintage advertisement | 54.2 | |
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Retro style | 53.7 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-38 |
Gender | Female, 94.9% |
Calm | 54.4% |
Happy | 36.8% |
Angry | 3.3% |
Sad | 2.4% |
Surprised | 1.6% |
Disgusted | 0.8% |
Confused | 0.4% |
Fear | 0.3% |
AWS Rekognition
Age | 37-55 |
Gender | Female, 54.1% |
Surprised | 61.4% |
Angry | 12.6% |
Fear | 11.9% |
Calm | 8.7% |
Happy | 2% |
Confused | 1.6% |
Disgusted | 1.3% |
Sad | 0.5% |
Feature analysis
Amazon
Person | 63.5% | |
|
Text analysis
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