Machine Generated Data
Tags
Amazon
created on 2022-03-12
Clarifai
created on 2025-01-10
Imagga
created on 2022-03-12
sexy | 31.3 | |
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chair | 29.4 | |
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salon | 26.3 | |
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interior | 25.6 | |
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attractive | 22.4 | |
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adult | 21.4 | |
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person | 20.8 | |
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lady | 20.3 | |
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room | 20.1 | |
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sitting | 18.9 | |
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home | 18.3 | |
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furniture | 18.2 | |
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erotic | 18.2 | |
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fashion | 18.1 | |
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body | 17.6 | |
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people | 17.3 | |
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musical instrument | 17.2 | |
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hairdresser | 17 | |
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style | 16.3 | |
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pretty | 16.1 | |
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black | 15.6 | |
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model | 15.6 | |
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device | 15.4 | |
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indoors | 14.1 | |
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sensual | 13.6 | |
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stringed instrument | 13.6 | |
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hair | 13.5 | |
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man | 13.4 | |
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skin | 12.7 | |
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bedroom | 12.5 | |
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house | 12.5 | |
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portrait | 12.3 | |
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lingerie | 12.2 | |
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gorgeous | 11.8 | |
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elegance | 11.8 | |
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seat | 11.6 | |
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bed | 11.4 | |
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legs | 11.3 | |
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indoor | 11 | |
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stylish | 10.9 | |
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lifestyle | 10.8 | |
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seductive | 10.5 | |
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one | 10.5 | |
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vintage | 9.9 | |
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rocking chair | 9.9 | |
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posing | 9.8 | |
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couch | 9.7 | |
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desire | 9.6 | |
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brunette | 9.6 | |
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luxury | 9.4 | |
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passion | 9.4 | |
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light | 9.4 | |
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face | 9.2 | |
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dark | 9.2 | |
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table | 9.1 | |
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make | 9.1 | |
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dress | 9 | |
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looking | 8.8 | |
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sexual | 8.7 | |
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male | 8.6 | |
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modern | 8.4 | |
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inside | 8.3 | |
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human | 8.2 | |
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retro | 8.2 | |
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smiling | 8 | |
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women | 7.9 | |
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love | 7.9 | |
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elegant | 7.7 | |
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blond | 7.7 | |
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hotel | 7.6 | |
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happy | 7.5 | |
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wine | 7.4 | |
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work | 7.3 | |
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window | 7.3 | |
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guitar | 7.3 | |
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office | 7.2 | |
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bowed stringed instrument | 7.2 | |
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smile | 7.1 | |
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sofa | 7 | |
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glass | 7 | |
|
Google
created on 2022-03-12
Flash photography | 88.4 | |
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Fashion | 88.1 | |
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Black-and-white | 85.3 | |
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Style | 84 | |
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Eyewear | 82.9 | |
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Chair | 82.8 | |
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Thigh | 79 | |
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Black hair | 78.3 | |
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Monochrome | 77 | |
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Hat | 76.3 | |
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Monochrome photography | 76 | |
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Vintage clothing | 73.2 | |
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Plant | 73.1 | |
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Human leg | 72.7 | |
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Knee | 69.7 | |
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Fashion design | 68.7 | |
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Sitting | 66.9 | |
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Room | 66.8 | |
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Fashion accessory | 63.2 | |
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Foot | 62.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-38 |
Gender | Female, 100% |
Calm | 42.5% |
Fear | 37.7% |
Happy | 9.8% |
Confused | 2.7% |
Surprised | 2.3% |
Sad | 2.3% |
Angry | 1.4% |
Disgusted | 1.3% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 100% |
Calm | 69% |
Happy | 23.2% |
Confused | 2.6% |
Sad | 2% |
Disgusted | 1.9% |
Surprised | 0.6% |
Angry | 0.5% |
Fear | 0.2% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 66.3% | |
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paintings art | 18.8% | |
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streetview architecture | 12.2% | |
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events parties | 1.3% | |
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Captions
Microsoft
created on 2022-03-12
a person sitting in a room | 90.2% | |
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a person sitting in a chair | 87.3% | |
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a person sitting on a bench | 66.8% | |
|
Text analysis
Amazon

13860

13860.

60.

N

T-T-

MAMTSAS

13860.
13860.

13860.