Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-22
Imagga
created on 2021-12-14
face | 39.8 | |
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portrait | 38.2 | |
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black | 27.9 | |
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man | 27.6 | |
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male | 26.6 | |
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person | 25.3 | |
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car mirror | 24.1 | |
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attractive | 23.8 | |
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mirror | 23.3 | |
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adult | 23.3 | |
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head | 21 | |
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eye | 19.7 | |
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seat belt | 19.6 | |
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people | 19.5 | |
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looking | 19.2 | |
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restraint | 18.6 | |
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eyes | 18.1 | |
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hair | 17.4 | |
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close | 17.1 | |
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expression | 17.1 | |
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look | 16.6 | |
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sexy | 16.1 | |
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safety belt | 15.7 | |
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one | 14.9 | |
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reflector | 14.4 | |
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serious | 14.3 | |
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model | 14 | |
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smile | 13.5 | |
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closeup | 13.5 | |
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handsome | 13.4 | |
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guy | 13.2 | |
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device | 13.1 | |
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pretty | 12.6 | |
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cute | 12.2 | |
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negative | 12.1 | |
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fashion | 12.1 | |
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happy | 11.9 | |
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blond | 11.7 | |
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child | 11.5 | |
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human | 11.3 | |
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beard | 11 | |
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skin | 10.7 | |
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lips | 10.2 | |
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sad | 9.6 | |
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dark | 9.2 | |
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youth | 8.5 | |
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alone | 8.2 | |
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call | 8.2 | |
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lady | 8.1 | |
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film | 8.1 | |
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boy | 7.8 | |
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angry | 7.8 | |
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thoughtful | 7.8 | |
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driver | 7.8 | |
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men | 7.7 | |
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facial | 7.7 | |
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thinking | 7.6 | |
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drive | 7.6 | |
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car | 7.6 | |
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gag | 7.5 | |
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mouth | 7.5 | |
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business | 7.3 | |
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smiling | 7.2 | |
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lifestyle | 7.2 | |
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body | 7.2 | |
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love | 7.1 | |
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dog | 7.1 | |
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Google
created on 2021-12-14
Nose | 98.4 | |
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Photograph | 94.1 | |
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Jaw | 87.9 | |
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Ear | 87.4 | |
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Organism | 85.5 | |
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Adaptation | 79.3 | |
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Art | 78.5 | |
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Eyelash | 75.2 | |
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Snapshot | 74.3 | |
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Monochrome photography | 73.6 | |
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Happy | 71.6 | |
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Wrinkle | 69.7 | |
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Photo caption | 69.4 | |
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Monochrome | 68.5 | |
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Stock photography | 65.5 | |
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Self-portrait | 65 | |
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Visual arts | 63.4 | |
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Font | 62.2 | |
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Moustache | 61.7 | |
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Eyewear | 57.7 | |
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Microsoft
created on 2021-12-14
human face | 95.1 | |
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person | 95.1 | |
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man | 93.2 | |
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indoor | 90.1 | |
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looking | 89.6 | |
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eyes | 86.3 | |
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face | 85.6 | |
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text | 85.4 | |
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black and white | 80.6 | |
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portrait | 78.4 | |
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staring | 67 | |
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close | 28.5 | |
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spectacles | 21.6 | |
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blur | 12.2 | |
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goggles | 9.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 27-43 |
Gender | Male, 88.5% |
Confused | 85.4% |
Sad | 8.2% |
Calm | 2.9% |
Surprised | 1.9% |
Fear | 0.7% |
Angry | 0.4% |
Disgusted | 0.4% |
Happy | 0.1% |