Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
person | 31.3 | |
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kin | 31.1 | |
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people | 30.1 | |
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man | 28.9 | |
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male | 26 | |
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adult | 24 | |
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dark | 20.9 | |
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portrait | 20.7 | |
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black | 19.9 | |
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couple | 19.2 | |
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love | 18.9 | |
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one | 18.7 | |
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attractive | 18.2 | |
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passion | 16.9 | |
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sexy | 16.1 | |
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happiness | 15.7 | |
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happy | 15 | |
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body | 14.4 | |
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fashion | 14.3 | |
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posing | 14.2 | |
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model | 14 | |
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lady | 13.8 | |
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sensuality | 13.6 | |
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human | 13.5 | |
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world | 13.1 | |
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lifestyle | 13 | |
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elevator | 12.9 | |
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sensual | 12.7 | |
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style | 12.6 | |
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pretty | 12.6 | |
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erotic | 12.3 | |
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looking | 12 | |
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romance | 11.6 | |
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family | 11.6 | |
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room | 11.4 | |
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silhouette | 10.8 | |
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romantic | 10.7 | |
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lifting device | 10.3 | |
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sitting | 10.3 | |
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men | 10.3 | |
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hair | 10.3 | |
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two | 10.2 | |
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dress | 9.9 | |
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passionate | 9.8 | |
| ||
night | 9.8 | |
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together | 9.6 | |
| ||
seductive | 9.6 | |
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relationship | 9.4 | |
| ||
youth | 9.4 | |
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smile | 9.3 | |
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studio | 9.1 | |
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suit | 9 | |
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device | 8.9 | |
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performer | 8.9 | |
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clothing | 8.7 | |
| ||
boy | 8.7 | |
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water | 8.7 | |
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business | 8.5 | |
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togetherness | 8.5 | |
| ||
modern | 8.4 | |
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old | 8.4 | |
| ||
vintage | 8.3 | |
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wet | 8 | |
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light | 8 | |
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home | 8 | |
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dancer | 7.9 | |
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spectator | 7.7 | |
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girlfriend | 7.7 | |
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expression | 7.7 | |
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dance | 7.6 | |
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wife | 7.6 | |
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fun | 7.5 | |
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leisure | 7.5 | |
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group | 7.3 | |
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pose | 7.2 | |
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handsome | 7.1 | |
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cool | 7.1 | |
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face | 7.1 | |
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interior | 7.1 | |
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businessman | 7.1 | |
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golfer | 7 | |
|
Google
created on 2019-11-16
Photograph | 96.4 | |
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Black | 95.7 | |
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Black-and-white | 85.4 | |
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Snapshot | 84.5 | |
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Photography | 79.7 | |
| ||
Monochrome | 78.3 | |
| ||
Room | 71.4 | |
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Stock photography | 59.4 | |
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Portrait | 58 | |
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Monochrome photography | 57.8 | |
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Family | 55.3 | |
| ||
Picture frame | 53.4 | |
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Gentleman | 51.3 | |
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Style | 51 | |
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Film noir | 50.7 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 22-34 |
Gender | Female, 99.1% |
Confused | 0.8% |
Surprised | 0.5% |
Sad | 2.6% |
Calm | 1.8% |
Disgusted | 1.1% |
Happy | 91.4% |
Fear | 1% |
Angry | 0.7% |

AWS Rekognition
Age | 5-15 |
Gender | Male, 90.3% |
Angry | 0% |
Happy | 97.2% |
Disgusted | 0% |
Sad | 0.1% |
Calm | 2.5% |
Surprised | 0.1% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 39-57 |
Gender | Female, 98% |
Angry | 10.1% |
Sad | 2.4% |
Confused | 4.7% |
Disgusted | 6.1% |
Surprised | 2.3% |
Happy | 23.8% |
Fear | 1.7% |
Calm | 48.8% |

AWS Rekognition
Age | 41-59 |
Gender | Male, 99% |
Disgusted | 0.1% |
Happy | 0% |
Angry | 0.1% |
Fear | 0% |
Sad | 4.9% |
Surprised | 0.1% |
Confused | 0.3% |
Calm | 94.5% |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 58 |
Gender | Female |

Microsoft Cognitive Services
Age | 61 |
Gender | Male |

Microsoft Cognitive Services
Age | 9 |
Gender | Female |

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 | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 93.5% | |
| ||
paintings art | 4.1% | |
| ||
events parties | 1.6% | |
|
Captions
Microsoft
created on 2019-11-16
a group of people posing for a photo | 95.3% | |
| ||
a group of people posing for the camera | 95.2% | |
| ||
a group of people posing for a picture | 95.1% | |
|
Text analysis
Amazon

TX0 664

TXD 6 6 4

TXD

4

6