Machine Generated Data
Tags
Clarifai
created on 2023-10-25
Imagga
created on 2021-12-14
person | 29.5 | |
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sexy | 28.1 | |
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people | 24.5 | |
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adult | 22.7 | |
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black | 22.6 | |
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dark | 20.9 | |
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fashion | 19.6 | |
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model | 19.4 | |
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portrait | 19.4 | |
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body | 18.4 | |
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male | 17.7 | |
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attractive | 17.5 | |
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man | 16.3 | |
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pretty | 16.1 | |
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posing | 16 | |
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face | 14.2 | |
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musical instrument | 14.2 | |
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sensual | 13.6 | |
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human | 13.5 | |
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women | 13.4 | |
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style | 13.3 | |
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music | 13 | |
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brass | 13 | |
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microphone | 12.7 | |
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device | 12.3 | |
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looking | 12 | |
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lifestyle | 11.6 | |
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wind instrument | 11.2 | |
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elegant | 11.1 | |
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hair | 11.1 | |
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stage | 11 | |
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makeup | 11 | |
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lady | 10.5 | |
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singer | 10.4 | |
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hands | 10.4 | |
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performer | 10.2 | |
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skin | 10.1 | |
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sensuality | 10 | |
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party | 9.5 | |
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men | 9.4 | |
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sport | 9.3 | |
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hand | 9.1 | |
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make | 9.1 | |
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pose | 9.1 | |
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dress | 9 | |
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one | 8.9 | |
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group | 8.9 | |
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musician | 8.7 | |
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erotic | 8.6 | |
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grunge | 8.5 | |
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clothes | 8.4 | |
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clothing | 8.4 | |
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studio | 8.4 | |
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slim | 8.3 | |
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silhouette | 8.3 | |
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guitar | 8.2 | |
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fitness | 8.1 | |
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couple | 7.8 | |
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concert | 7.8 | |
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wall | 7.7 | |
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crowd | 7.7 | |
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performance | 7.7 | |
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power | 7.5 | |
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elegance | 7.5 | |
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training | 7.4 | |
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fit | 7.4 | |
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blond | 7.3 | |
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danger | 7.3 | |
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handsome | 7.1 | |
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happiness | 7 | |
|
Google
created on 2021-12-14
Black-and-white | 84.7 | |
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Shorts | 84.7 | |
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Style | 83.8 | |
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Font | 81.6 | |
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Art | 76.9 | |
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Monochrome photography | 71 | |
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Monochrome | 70.5 | |
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Vintage clothing | 68.1 | |
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Pattern | 65.8 | |
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Room | 64.9 | |
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Metal | 64 | |
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Rectangle | 63.4 | |
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Stock photography | 63.2 | |
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Visual arts | 61.4 | |
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Team | 52.3 | |
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History | 50.4 | |
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Photographic paper | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 17-29 |
Gender | Female, 55.4% |
Calm | 96.1% |
Sad | 2.5% |
Angry | 1% |
Confused | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 21-33 |
Gender | Female, 90.6% |
Calm | 66.9% |
Fear | 13% |
Surprised | 5.7% |
Disgusted | 4.8% |
Sad | 4.6% |
Angry | 3.1% |
Confused | 1.5% |
Happy | 0.5% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 64.8% |
Calm | 93.5% |
Angry | 2.9% |
Happy | 1.1% |
Sad | 0.9% |
Disgusted | 0.7% |
Surprised | 0.5% |
Confused | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 58.3% |
Calm | 48.4% |
Angry | 44.2% |
Surprised | 4.4% |
Disgusted | 1.9% |
Sad | 0.5% |
Fear | 0.3% |
Confused | 0.3% |
Happy | 0% |

AWS Rekognition
Age | 18-30 |
Gender | Female, 73.7% |
Calm | 61.6% |
Sad | 35.4% |
Angry | 1.6% |
Happy | 0.5% |
Fear | 0.3% |
Surprised | 0.2% |
Confused | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 32-48 |
Gender | Male, 71.3% |
Calm | 59.5% |
Sad | 24.7% |
Happy | 10.7% |
Angry | 1.8% |
Fear | 1.5% |
Confused | 1.1% |
Surprised | 0.5% |
Disgusted | 0.2% |

Microsoft Cognitive Services
Age | 22 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |
Feature analysis
Categories
Imagga
interior objects | 99.8% | |
|
Captions
Microsoft
created on 2021-12-14
a group of people posing for a photo | 96.4% | |
| ||
a group of people posing for a photo in front of a fence | 96.2% | |
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a group of people standing in front of a fence | 95.5% | |
|
Text analysis
Amazon

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