Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
people | 99.4 | |
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group | 97.1 | |
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exhibition | 96.9 | |
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wear | 94.9 | |
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many | 94.6 | |
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adult | 94.5 | |
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woman | 92.3 | |
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museum | 92.1 | |
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man | 90.1 | |
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commerce | 90 | |
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art | 89.4 | |
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performance | 88.7 | |
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music | 87.4 | |
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collection | 85 | |
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religion | 83.7 | |
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group together | 83.6 | |
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outfit | 83.5 | |
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stock | 83.3 | |
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ceremony | 83.3 | |
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sculpture | 81.4 | |
|
Imagga
created on 2019-06-05
sculpture | 26.7 | |
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art | 23.5 | |
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old | 21.6 | |
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architecture | 21.1 | |
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statue | 19.4 | |
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building | 19.3 | |
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ancient | 19 | |
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case | 18.9 | |
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history | 17 | |
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monument | 16.8 | |
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religion | 16.1 | |
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famous | 15.8 | |
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historic | 15.6 | |
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antique | 14.7 | |
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vintage | 14 | |
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landmark | 13.5 | |
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god | 13.4 | |
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city | 13.3 | |
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window | 13.3 | |
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marble | 12.5 | |
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tourism | 12.4 | |
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historical | 12.2 | |
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detail | 11.3 | |
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religious | 11.2 | |
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culture | 11.1 | |
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church | 11.1 | |
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interior | 10.6 | |
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travel | 10.6 | |
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structure | 10.4 | |
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decoration | 10.4 | |
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shop | 10.1 | |
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design | 10.1 | |
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catholic | 9.7 | |
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black | 9.6 | |
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symbol | 9.4 | |
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room | 9.3 | |
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dress | 9 | |
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facade | 8.9 | |
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night | 8.9 | |
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light | 8.7 | |
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museum | 8.7 | |
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holiday | 8.6 | |
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luxury | 8.6 | |
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stone | 8.4 | |
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column | 8.4 | |
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urban | 7.9 | |
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baroque | 7.8 | |
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people | 7.8 | |
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man | 7.8 | |
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memorial | 7.5 | |
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decorative | 7.5 | |
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wood | 7.5 | |
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destination | 7.5 | |
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traditional | 7.5 | |
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classic | 7.4 | |
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style | 7.4 | |
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retro | 7.4 | |
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exterior | 7.4 | |
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boutique | 7.3 | |
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ornate | 7.3 | |
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tourist | 7.2 | |
|
Google
created on 2019-06-05
Photograph | 96.2 | |
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Picture frame | 88.5 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Interior design | 53.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.3% |
Happy | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 50.2% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Sad | 50.2% |
Calm | 49.6% |
Happy | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Happy | 49.5% |
Sad | 49.8% |
Disgusted | 49.5% |
Calm | 50% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Confused | 49.5% |
Sad | 49.6% |
Disgusted | 49.6% |
Angry | 49.8% |
Happy | 49.5% |
Calm | 49.9% |
Surprised | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50% |
Surprised | 49.5% |
Calm | 50.4% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 38-57 |
Gender | Male, 50.1% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 50% |
Angry | 49.9% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Calm | 50.2% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 49.6% |
Angry | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.7% |
Surprised | 49.5% |
Sad | 50.1% |
Confused | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 50.2% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 50.5% |
Happy | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.3% |
Calm | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 50.1% |
Angry | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Confused | 49.5% |
Calm | 49.6% |
Disgusted | 49.6% |
Sad | 50.1% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.2% |
Angry | 49.6% |
Surprised | 49.5% |
Disgusted | 50% |
Calm | 49.6% |
Sad | 49.7% |
Happy | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Angry | 49.7% |
Calm | 49.5% |
Disgusted | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.1% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Sad | 50% |
Disgusted | 49.6% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.3% |
Disgusted | 49.6% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 50.2% |
Surprised | 49.5% |
Calm | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 51.7% |
Confused | 46.7% |
Happy | 47.7% |
Sad | 45.9% |
Disgusted | 45.8% |
Angry | 46.6% |
Calm | 46.2% |
Surprised | 46.1% |
Feature analysis
Categories
Imagga
interior objects | 54.4% | |
| ||
events parties | 37.5% | |
| ||
food drinks | 4.7% | |
| ||
streetview architecture | 1.3% | |
| ||
text visuals | 1.2% | |
|
Captions
Microsoft
created on 2019-06-05
an old photo of a person | 43.4% | |
| ||
old photo of a person | 40.5% | |
| ||
an old television | 34.5% | |
|
Text analysis
Amazon

year

Fiis year Fauagiig.

Fiis

Fauagiig.

int

taugg

int year taugg

year