Machine Generated Data
Tags
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-09
money | 48.5 | |
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currency | 44 | |
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cash | 43.1 | |
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finance | 40.6 | |
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dollar | 36.2 | |
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bank | 35.3 | |
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financial | 33 | |
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wealth | 31.5 | |
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banking | 30.4 | |
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business | 25.5 | |
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paper | 25.2 | |
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coin | 24.8 | |
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dollars | 24.2 | |
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exchange | 23.9 | |
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bill | 23.8 | |
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pay | 22.1 | |
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old | 20.2 | |
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one | 19.4 | |
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ingot | 18.9 | |
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close | 18.9 | |
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rich | 18.6 | |
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vintage | 18.2 | |
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retro | 18 | |
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hundred | 17.5 | |
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us | 17.4 | |
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art | 17.3 | |
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economy | 15.8 | |
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block | 15.8 | |
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savings | 14.9 | |
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franklin | 14.8 | |
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coins | 14.5 | |
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finances | 13.5 | |
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change | 13.5 | |
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design | 13.2 | |
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antique | 13.1 | |
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investment | 12.8 | |
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closeup | 12.8 | |
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grunge | 12.8 | |
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banknotes | 12.7 | |
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banknote | 12.6 | |
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drawing | 12.4 | |
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silver | 12.4 | |
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commerce | 12.2 | |
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bills | 11.7 | |
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frame | 11.7 | |
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states | 11.6 | |
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card | 11.3 | |
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object | 11 | |
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gold | 10.7 | |
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value | 10.7 | |
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pattern | 10.3 | |
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president | 9.8 | |
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sign | 9.8 | |
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world | 9.8 | |
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metal | 9.7 | |
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style | 9.7 | |
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payment | 9.6 | |
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united | 9.5 | |
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symbol | 9.4 | |
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buy | 9.4 | |
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floral | 9.4 | |
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number | 9.3 | |
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note | 9.2 | |
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concepts | 8.9 | |
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market | 8.9 | |
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funds | 8.8 | |
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brass | 8.7 | |
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representation | 8.7 | |
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loan | 8.6 | |
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capital | 8.5 | |
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stock | 8.4 | |
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decoration | 8.4 | |
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texture | 8.3 | |
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envelope | 8.3 | |
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silhouette | 8.3 | |
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backgrounds | 8.1 | |
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graphic | 8 | |
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sketch | 7.9 | |
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face | 7.8 | |
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pound | 7.7 | |
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price | 7.7 | |
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notes | 7.7 | |
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profit | 7.7 | |
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success | 7.2 | |
|
Google
created on 2022-01-09
Art | 84.7 | |
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Font | 80.4 | |
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Painting | 77.4 | |
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Pattern | 71.5 | |
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Vintage clothing | 70.2 | |
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Drawing | 70.1 | |
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Visual arts | 70.1 | |
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Victorian fashion | 70 | |
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Rectangle | 67.8 | |
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Circle | 67 | |
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Paper | 65.7 | |
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Sleeve | 65.7 | |
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Illustration | 65.2 | |
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History | 63.6 | |
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Paper product | 63.4 | |
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Costume design | 62.4 | |
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Mythology | 57.5 | |
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Recreation | 57.2 | |
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Retro style | 53.9 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-34 |
Gender | Female, 97.1% |
Calm | 57.1% |
Confused | 26.1% |
Fear | 13.3% |
Sad | 1.2% |
Angry | 0.8% |
Surprised | 0.7% |
Disgusted | 0.6% |
Happy | 0.4% |
AWS Rekognition
Age | 16-22 |
Gender | Female, 99.8% |
Calm | 69.7% |
Sad | 20.7% |
Confused | 2.4% |
Disgusted | 2.3% |
Fear | 1.9% |
Angry | 1.4% |
Surprised | 0.9% |
Happy | 0.6% |
Feature analysis
Text analysis
Amazon
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