Machine Generated Data
Tags
Amazon
created on 2019-05-28
Clarifai
created on 2019-05-28
Imagga
created on 2019-05-28
megaphone | 100 | |
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acoustic device | 80 | |
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device | 64.3 | |
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person | 30 | |
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adult | 27.2 | |
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portrait | 24 | |
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people | 23.4 | |
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man | 22.9 | |
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attractive | 20.3 | |
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face | 19.2 | |
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pretty | 18.9 | |
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male | 18.5 | |
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health | 17.4 | |
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drinking | 16.3 | |
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holding | 15.7 | |
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professional | 15.2 | |
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drink | 15 | |
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mask | 14.8 | |
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bottle | 14.4 | |
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smile | 14.3 | |
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lifestyle | 13 | |
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cute | 12.9 | |
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looking | 12.8 | |
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human | 12.8 | |
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handsome | 12.5 | |
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cheerful | 12.2 | |
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hand | 12.2 | |
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sexy | 12.1 | |
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microphone | 11.8 | |
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model | 11.7 | |
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black | 11.4 | |
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brunette | 11.3 | |
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happy | 11.3 | |
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one | 11.2 | |
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equipment | 11.1 | |
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cup | 10.8 | |
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studio | 10.6 | |
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child | 10.6 | |
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medical | 10.6 | |
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gym | 10.5 | |
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women | 10.3 | |
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happiness | 10.2 | |
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training | 10.2 | |
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exercise | 10 | |
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sport | 10 | |
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leisure | 10 | |
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fitness | 9.9 | |
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workout | 9.6 | |
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hair | 9.5 | |
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doctor | 9.4 | |
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glass | 9.4 | |
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fit | 9.2 | |
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kid | 8.9 | |
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container | 8.8 | |
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medicine | 8.8 | |
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lens | 8.7 | |
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boy | 8.7 | |
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smiling | 8.7 | |
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coffee | 8.7 | |
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work | 8.6 | |
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muscular | 8.6 | |
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expression | 8.5 | |
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business | 8.5 | |
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water bottle | 8.4 | |
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care | 8.2 | |
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protective covering | 8.1 | |
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lady | 8.1 | |
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working | 8 | |
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businessman | 7.9 | |
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sitting | 7.7 | |
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illness | 7.6 | |
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telephone | 7.6 | |
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camera | 7.6 | |
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athlete | 7.6 | |
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communication | 7.6 | |
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beverage | 7.5 | |
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hospital | 7.5 | |
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close | 7.4 | |
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blond | 7.2 | |
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active | 7.2 | |
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job | 7.1 | |
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little | 7.1 | |
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indoors | 7 | |
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Google
created on 2019-05-28
Photograph | 96.1 | |
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Snapshot | 83.3 | |
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Black-and-white | 80.7 | |
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Photography | 76.4 | |
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Monochrome | 75.8 | |
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Stock photography | 69.8 | |
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Monochrome photography | 57.8 | |
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Style | 53.5 | |
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Drinking | 52.5 | |
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Microsoft
created on 2019-05-28
person | 98.6 | |
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human face | 94.1 | |
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face | 89.3 | |
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black and white | 87.3 | |
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portrait | 86.2 | |
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bottle | 72.2 | |
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soft drink | 69.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 66.7% |
Angry | 3.1% |
Disgusted | 1.8% |
Sad | 27.6% |
Surprised | 3% |
Calm | 55.8% |
Happy | 6.1% |
Confused | 2.6% |
Feature analysis
Amazon
Person | 99.1% | |
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