Machine Generated Data
Tags
Amazon
created on 2019-03-22
Clarifai
created on 2019-03-22
Imagga
created on 2019-03-22
portrait | 27.8 | |
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person | 27.4 | |
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man | 26.2 | |
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people | 25.6 | |
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adult | 25.4 | |
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fashion | 24.9 | |
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male | 24.1 | |
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black | 24 | |
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face | 22.7 | |
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sexy | 20.1 | |
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make | 18.1 | |
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attractive | 16.8 | |
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mask | 15.9 | |
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style | 15.6 | |
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model | 15.5 | |
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hair | 15 | |
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happy | 15 | |
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couple | 14.8 | |
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love | 14.2 | |
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smiling | 13.7 | |
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dress | 13.5 | |
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fun | 13.5 | |
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lady | 13 | |
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men | 12.9 | |
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smile | 12.8 | |
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sensual | 12.7 | |
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women | 12.6 | |
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elegance | 12.6 | |
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party | 12 | |
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expression | 11.9 | |
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pretty | 11.9 | |
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sensuality | 11.8 | |
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waiter | 11.7 | |
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posing | 11.5 | |
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device | 11.5 | |
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bow tie | 11.5 | |
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studio | 11.4 | |
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musician | 11.3 | |
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bartender | 11.3 | |
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body | 11.2 | |
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eyes | 11.2 | |
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necktie | 11.1 | |
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entertainment | 11 | |
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music | 11 | |
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salon | 10.7 | |
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clothing | 10.5 | |
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brunette | 10.4 | |
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looking | 10.4 | |
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celebration | 10.4 | |
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makeup | 10.1 | |
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holding | 9.9 | |
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performer | 9.9 | |
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human | 9.7 | |
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together | 9.6 | |
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dining-room attendant | 9.4 | |
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lifestyle | 9.4 | |
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hat | 9.2 | |
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gorgeous | 9.1 | |
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romantic | 8.9 | |
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urban | 8.7 | |
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youth | 8.5 | |
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casual | 8.5 | |
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camera | 8.3 | |
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retro | 8.2 | |
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handsome | 8 | |
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musical instrument | 7.9 | |
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happiness | 7.8 | |
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modern | 7.7 | |
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bride | 7.7 | |
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singer | 7.6 | |
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hand | 7.6 | |
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dark | 7.5 | |
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friends | 7.5 | |
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art | 7.5 | |
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guy | 7.5 | |
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barroom | 7.5 | |
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emotion | 7.4 | |
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group | 7.2 | |
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blond | 7.2 | |
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cute | 7.2 | |
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garment | 7.1 | |
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costume | 7.1 | |
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day | 7.1 | |
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Google
created on 2019-03-22
Photograph | 95.9 | |
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Snapshot | 82.5 | |
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Vintage clothing | 67.2 | |
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Photography | 62.4 | |
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Gentleman | 61.7 | |
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Classic | 56.7 | |
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Black-and-white | 56.4 | |
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Family | 51 | |
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Microsoft
created on 2019-03-22
person | 99.5 | |
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outdoor | 96.4 | |
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man | 90.4 | |
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people | 80.2 | |
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black and white | 18.4 | |
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music | 17.3 | |
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live music | 10.1 | |
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street | 9.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 49-69 |
Gender | Male, 97.7% |
Angry | 3% |
Happy | 1.2% |
Surprised | 8.5% |
Confused | 10.9% |
Calm | 6.2% |
Disgusted | 69.2% |
Sad | 1% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 92.8% |
Surprised | 0.8% |
Happy | 0.3% |
Confused | 3.2% |
Calm | 82.3% |
Disgusted | 1% |
Sad | 8.4% |
Angry | 4% |
Feature analysis
Amazon
Person | 99.7% | |
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