Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
person | 43.1 | |
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portrait | 40.2 | |
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man | 33 | |
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people | 32.4 | |
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adult | 31.2 | |
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face | 28.4 | |
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male | 26.3 | |
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senior | 26.3 | |
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hair | 24.6 | |
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mature | 24.2 | |
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attractive | 23.1 | |
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adolescent | 22.3 | |
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happy | 22 | |
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model | 21 | |
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old | 20.2 | |
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grandma | 20 | |
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human | 18.8 | |
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elderly | 18.2 | |
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juvenile | 18.1 | |
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handsome | 17.8 | |
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sexy | 17.7 | |
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beard | 16.5 | |
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one | 16.4 | |
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smile | 16.4 | |
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eyes | 16.4 | |
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expression | 16.2 | |
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looking | 16 | |
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black | 15.6 | |
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lady | 15.4 | |
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retirement | 14.4 | |
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age | 14.3 | |
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pretty | 14 | |
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lifestyle | 13.8 | |
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close | 13.7 | |
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older | 13.6 | |
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love | 13.4 | |
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couple | 13.1 | |
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grandmother | 12.7 | |
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aged | 12.7 | |
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gray | 12.6 | |
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retired | 12.6 | |
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head | 12.6 | |
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serious | 12.4 | |
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smiling | 12.3 | |
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casual | 11.9 | |
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happiness | 11.8 | |
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world | 11.5 | |
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life | 11.3 | |
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glasses | 11.1 | |
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mother | 11 | |
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married | 10.6 | |
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health | 10.4 | |
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men | 10.3 | |
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youth | 10.2 | |
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healthy | 10.1 | |
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fashion | 9.8 | |
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body | 9.6 | |
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skin | 9.6 | |
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nose | 9.5 | |
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women | 9.5 | |
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pensioner | 9.1 | |
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husband | 9.1 | |
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cheerful | 9 | |
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sculpture | 8.9 | |
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lovely | 8.9 | |
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pension | 8.9 | |
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affection | 8.7 | |
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aging | 8.6 | |
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hand | 8.4 | |
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dark | 8.4 | |
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guy | 8.3 | |
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lips | 8.3 | |
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closeup | 8.1 | |
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blond | 8 | |
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cute | 7.9 | |
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look | 7.9 | |
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shirt | 7.6 | |
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studio | 7.6 | |
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wife | 7.6 | |
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bust | 7.3 | |
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alone | 7.3 | |
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romance | 7.2 | |
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together | 7 | |
|
Google
created on 2022-01-22
Chin | 96.7 | |
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Eyebrow | 93.9 | |
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Eye | 93.6 | |
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Jaw | 88.2 | |
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Vintage clothing | 76.2 | |
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Art | 75.4 | |
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Rectangle | 65.5 | |
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History | 64.8 | |
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Room | 64.8 | |
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Stock photography | 63 | |
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Self-portrait | 62.4 | |
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Fur | 61.6 | |
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Painting | 61.5 | |
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Portrait | 60.9 | |
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Photo caption | 58.2 | |
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Retro style | 57.9 | |
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Monochrome | 56 | |
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Wrinkle | 54 | |
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Portrait photography | 53.3 | |
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Visual arts | 52.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 29-39 |
Gender | Female, 72.1% |
Confused | 97.2% |
Calm | 1.1% |
Angry | 0.8% |
Sad | 0.6% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0% |
Happy | 0% |
Microsoft Cognitive Services
Age | 30 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 95% | |
|
Text analysis
Amazon
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