Machine Generated Data
Tags
Amazon
created on 2022-01-16
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-16
portrait | 37.5 | |
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person | 25.6 | |
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black | 24.1 | |
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man | 23.5 | |
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model | 23.3 | |
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adult | 23.3 | |
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mug shot | 22.9 | |
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face | 22.7 | |
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attractive | 22.4 | |
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people | 20.6 | |
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fashion | 19.6 | |
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male | 19.4 | |
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bow tie | 18.3 | |
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photograph | 17.9 | |
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hair | 17.4 | |
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brunette | 17.4 | |
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necktie | 17 | |
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expression | 16.2 | |
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lady | 15.4 | |
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sexy | 15.3 | |
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pretty | 14.7 | |
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skin | 14.5 | |
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representation | 14.4 | |
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human | 14.3 | |
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eyes | 13.8 | |
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studio | 13.7 | |
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body | 13.6 | |
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serious | 13.4 | |
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lifestyle | 13 | |
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style | 12.6 | |
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youth | 11.9 | |
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jacket | 11.8 | |
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head | 11.8 | |
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clothing | 11.6 | |
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couple | 11.3 | |
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looking | 11.2 | |
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dress | 10.8 | |
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creation | 10.6 | |
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look | 10.5 | |
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business | 10.3 | |
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women | 10.3 | |
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world | 10 | |
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cute | 10 | |
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smile | 10 | |
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hand | 9.9 | |
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old | 9.8 | |
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love | 9.5 | |
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smiling | 9.4 | |
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guy | 9.2 | |
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garment | 9 | |
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one | 9 | |
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posing | 8.9 | |
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beard | 8.8 | |
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sitting | 8.6 | |
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culture | 8.6 | |
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thinking | 8.5 | |
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casual | 8.5 | |
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two | 8.5 | |
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dark | 8.4 | |
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suit | 8.3 | |
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emotion | 8.3 | |
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holding | 8.3 | |
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alone | 8.2 | |
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confident | 8.2 | |
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sensual | 8.2 | |
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happy | 8.1 | |
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adolescent | 8.1 | |
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handsome | 8 | |
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close | 8 | |
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boy | 7.9 | |
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men | 7.7 | |
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art | 7.5 | |
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vintage | 7.4 | |
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shirt | 7.4 | |
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child | 7.4 | |
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juvenile | 7.3 | |
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office | 7.2 | |
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color | 7.2 | |
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currency | 7.2 | |
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romantic | 7.1 | |
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happiness | 7.1 | |
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device | 7.1 | |
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modern | 7 | |
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Google
created on 2022-01-16
Face | 98.3 | |
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Eyebrow | 94.5 | |
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Jaw | 87.9 | |
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Collar | 79.6 | |
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Art | 78.1 | |
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Tints and shades | 77.1 | |
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Vintage clothing | 72.8 | |
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Monochrome | 67.5 | |
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Visual arts | 67.4 | |
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Monochrome photography | 65.8 | |
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History | 63.9 | |
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Self-portrait | 63.6 | |
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Portrait | 63.1 | |
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Room | 62 | |
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Painting | 61.2 | |
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Illustration | 58.3 | |
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Moustache | 56.7 | |
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Retro style | 53.5 | |
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Photographic paper | 52.3 | |
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Paper | 51.6 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 30-40 |
Gender | Male, 99.9% |
Calm | 96.1% |
Fear | 1.3% |
Sad | 1.2% |
Surprised | 0.5% |
Angry | 0.3% |
Confused | 0.2% |
Disgusted | 0.2% |
Happy | 0.2% |
Microsoft Cognitive Services
Age | 33 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 98.5% | |
|
Text analysis
Amazon
First
adidas
Seques adidas
Nakoleon RA First Consult
Grand
Nakoleon
RA
Consult
Seques
Nahelen as Fret Cneal.
Nahelen
as
Fret
Cneal.