Machine Generated Data
Tags
Clarifai
created on 2023-10-26
people | 99.8 | |
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portrait | 99.5 | |
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art | 99.4 | |
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adult | 99.2 | |
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one | 99.1 | |
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man | 98.5 | |
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chalk out | 97.9 | |
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97.1 | ||
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illustration | 96.3 | |
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painting | 96.2 | |
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wear | 94.7 | |
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two | 94 | |
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girl | 93.5 | |
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woman | 93.1 | |
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sepia pigment | 93 | |
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veil | 91.6 | |
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music | 91.2 | |
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vintage | 91 | |
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monochrome | 89.3 | |
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facial expression | 88.4 | |
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Imagga
created on 2022-01-15
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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art | 21.5 | |
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style | 18.6 | |
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money | 17 | |
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black | 16.2 | |
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vintage | 14.1 | |
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close | 13.7 | |
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currency | 13.5 | |
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paper | 13.3 | |
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ancient | 13 | |
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portrait | 13 | |
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design | 13 | |
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detail | 12.9 | |
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cash | 12.8 | |
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dollar | 12.1 | |
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body | 12 | |
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banking | 12 | |
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shape | 11.9 | |
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old | 11.9 | |
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person | 11.8 | |
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retro | 11.5 | |
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fashion | 11.3 | |
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attractive | 11.2 | |
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pattern | 10.9 | |
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model | 10.9 | |
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symbol | 10.8 | |
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face | 10.7 | |
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people | 10.6 | |
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artistic | 10.4 | |
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antique | 10.4 | |
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elegant | 10.3 | |
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closeup | 10.1 | |
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man | 10.1 | |
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elegance | 10.1 | |
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artwork | 10.1 | |
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bank | 9.9 | |
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sexy | 9.6 | |
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curve | 9.6 | |
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hair | 9.5 | |
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graphic | 9.5 | |
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grunge | 9.4 | |
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silhouette | 9.1 | |
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religion | 9 | |
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financial | 8.9 | |
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dollars | 8.7 | |
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exchange | 8.6 | |
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motion | 8.6 | |
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business | 8.5 | |
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modern | 8.4 | |
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savings | 8.4 | |
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elements | 8.4 | |
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sign | 8.3 | |
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one | 8.2 | |
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figure | 8.2 | |
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wealth | 8.1 | |
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light | 8 | |
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banknotes | 7.8 | |
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color | 7.8 | |
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adult | 7.8 | |
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line | 7.7 | |
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pretty | 7.7 | |
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payment | 7.7 | |
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bill | 7.6 | |
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finance | 7.6 | |
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power | 7.6 | |
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decorative | 7.5 | |
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religious | 7.5 | |
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smoke | 7.4 | |
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economy | 7.4 | |
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backgrounds | 7.3 | |
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sensual | 7.3 | |
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Google
created on 2022-01-15
Jaw | 87.6 | |
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Art | 84.2 | |
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Painting | 80.5 | |
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Drawing | 72.9 | |
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Illustration | 71.2 | |
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Self-portrait | 66.6 | |
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Visual arts | 66.5 | |
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Sketch | 63.9 | |
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Figure drawing | 63.2 | |
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Sitting | 62.8 | |
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Artwork | 59.9 | |
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Line art | 59.2 | |
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Monochrome | 55.9 | |
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Fur | 55.9 | |
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Portrait | 53.6 | |
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Vintage clothing | 51 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 16-24 |
Gender | Female, 93.9% |
Calm | 93.8% |
Fear | 1.5% |
Happy | 1.4% |
Sad | 0.9% |
Surprised | 0.9% |
Angry | 0.8% |
Disgusted | 0.4% |
Confused | 0.3% |
Microsoft Cognitive Services
Age | 26 |
Gender | Female |
Feature analysis
Text analysis
Amazon
Marter
180g
sayrent Marter 180g
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