Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-15
people | 99.3 | |
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man | 96.8 | |
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monochrome | 94 | |
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two | 93.7 | |
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child | 92.8 | |
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adult | 90.6 | |
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one | 85.8 | |
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wear | 84.6 | |
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group together | 81.2 | |
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young | 78.6 | |
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indoors | 78.1 | |
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boy | 77.4 | |
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woman | 77 | |
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three | 76.6 | |
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competition | 75.9 | |
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fun | 75.9 | |
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group | 72.7 | |
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uniform | 72.2 | |
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action energy | 71.9 | |
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couple | 70.9 | |
|
Imagga
created on 2021-12-14
newspaper | 37.6 | |
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person | 30.4 | |
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product | 29.1 | |
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people | 27.9 | |
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adult | 26.2 | |
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man | 25.5 | |
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creation | 23 | |
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male | 19.9 | |
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professional | 14.6 | |
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fashion | 14.3 | |
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smile | 14.2 | |
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portrait | 14.2 | |
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attractive | 14 | |
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happy | 13.8 | |
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casual | 13.5 | |
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human | 13.5 | |
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business | 13.4 | |
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pretty | 13.3 | |
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lifestyle | 13 | |
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men | 12 | |
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women | 11.1 | |
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model | 10.9 | |
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sport | 10.8 | |
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clothing | 10.6 | |
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negative | 10.6 | |
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modern | 10.5 | |
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one | 10.4 | |
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sexy | 10.4 | |
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life | 10.4 | |
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style | 10.4 | |
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holding | 9.9 | |
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businessman | 9.7 | |
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look | 9.6 | |
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film | 9.6 | |
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home | 9.6 | |
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smiling | 9.4 | |
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guy | 9.2 | |
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health | 9 | |
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cheerful | 8.9 | |
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handsome | 8.9 | |
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work | 8.8 | |
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day | 8.6 | |
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corporate | 8.6 | |
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bright | 8.6 | |
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motion | 8.6 | |
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face | 8.5 | |
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black | 8.4 | |
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action | 8.3 | |
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fun | 8.2 | |
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playing | 8.2 | |
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technology | 8.2 | |
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stylish | 8.1 | |
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lady | 8.1 | |
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art | 8 | |
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interior | 8 | |
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room | 7.6 | |
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leisure | 7.5 | |
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exercise | 7.3 | |
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group | 7.3 | |
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dress | 7.2 | |
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suit | 7.2 | |
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body | 7.2 | |
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worker | 7.1 | |
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happiness | 7 | |
|
Google
created on 2021-12-14
Shorts | 85.5 | |
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Black-and-white | 82.8 | |
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Art | 76.4 | |
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Monochrome | 73.3 | |
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Monochrome photography | 73 | |
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Toddler | 71.5 | |
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Hat | 71.4 | |
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Vintage clothing | 67.9 | |
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Room | 67.7 | |
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Knee | 66.7 | |
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Boot | 65.1 | |
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Visual arts | 64.8 | |
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Font | 61.8 | |
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Photographic paper | 59.5 | |
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Illustration | 56 | |
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Machine | 54 | |
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Sitting | 53 | |
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Paper product | 52.2 | |
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Child | 51.8 | |
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Homemaker | 51 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 32-48 |
Gender | Female, 63.5% |
Sad | 41.6% |
Calm | 36.5% |
Happy | 13.6% |
Angry | 3.5% |
Fear | 3.2% |
Confused | 0.7% |
Surprised | 0.7% |
Disgusted | 0.2% |
Feature analysis
Text analysis
Amazon
11
4
MAZDA
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MAZ
MAZ