Machine Generated Data
Tags
Amazon
created on 2019-06-06
Interior Design | 99.5 | |
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Indoors | 99.5 | |
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Person | 99.2 | |
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Human | 99.2 | |
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Person | 98.8 | |
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Person | 98 | |
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Person | 97.1 | |
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Building | 96.1 | |
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Person | 91.8 | |
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Architecture | 91.2 | |
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Person | 89.9 | |
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Room | 89.3 | |
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Person | 88.1 | |
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Crowd | 87.2 | |
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Pillar | 80.2 | |
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Column | 80.2 | |
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Painting | 76.1 | |
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Art | 76.1 | |
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Person | 72 | |
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Audience | 69.5 | |
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Lighting | 68.2 | |
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Person | 63.3 | |
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Person | 60.7 | |
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Theater | 56.7 | |
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Person | 56.5 | |
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Text | 55.8 | |
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Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
shop | 50 | |
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barbershop | 43.8 | |
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mercantile establishment | 39.2 | |
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place of business | 26.2 | |
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building | 22 | |
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city | 21.6 | |
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architecture | 21.1 | |
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old | 20.2 | |
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window | 18.1 | |
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case | 17.5 | |
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night | 16.9 | |
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light | 16.7 | |
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black | 15.6 | |
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urban | 14.8 | |
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art | 14.3 | |
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decoration | 13.1 | |
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establishment | 13 | |
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house | 12.5 | |
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history | 12.5 | |
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design | 11.8 | |
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wall | 11.1 | |
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grunge | 11.1 | |
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vintage | 11 | |
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dirty | 10.8 | |
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retro | 10.6 | |
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historic | 10.1 | |
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people | 10 | |
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antique | 9.7 | |
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style | 9.6 | |
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scene | 9.5 | |
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ancient | 9.5 | |
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space | 9.3 | |
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street | 9.2 | |
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business | 9.1 | |
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transportation | 9 | |
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restaurant | 8.9 | |
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office | 8.5 | |
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smoke | 8.4 | |
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dark | 8.3 | |
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color | 8.3 | |
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texture | 8.3 | |
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silhouette | 8.3 | |
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pattern | 8.2 | |
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home | 8 | |
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interior | 8 | |
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toyshop | 7.9 | |
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holiday | 7.9 | |
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rock | 7.8 | |
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frame | 7.8 | |
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room | 7.6 | |
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transport | 7.3 | |
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industrial | 7.3 | |
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paint | 7.2 | |
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chair | 7.2 | |
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glass | 7.2 | |
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music | 7.2 | |
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religion | 7.2 | |
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travel | 7 | |
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sky | 7 | |
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Google
created on 2019-06-06
Photograph | 96.9 | |
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Snapshot | 88.9 | |
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Room | 78 | |
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Photographic paper | 70.9 | |
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Photography | 67.8 | |
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Art | 58.1 | |
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Black-and-white | 56.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 48-68 |
Gender | Male, 52.3% |
Sad | 48.3% |
Confused | 45.2% |
Surprised | 45.2% |
Happy | 45.3% |
Angry | 48.7% |
Disgusted | 47% |
Calm | 45.3% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 53.8% |
Calm | 45.3% |
Disgusted | 45.2% |
Surprised | 45.2% |
Angry | 48.7% |
Sad | 50.2% |
Confused | 45.3% |
Happy | 45% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 52.9% |
Sad | 49.5% |
Disgusted | 45% |
Surprised | 45% |
Happy | 45.1% |
Confused | 45% |
Calm | 45% |
Angry | 50.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54.8% |
Angry | 53.2% |
Surprised | 45.1% |
Disgusted | 45.1% |
Sad | 46.3% |
Happy | 45.2% |
Confused | 45% |
Calm | 45.1% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 50.5% |
Angry | 45.4% |
Disgusted | 45.3% |
Confused | 45.1% |
Calm | 45.1% |
Happy | 45% |
Surprised | 45.1% |
Sad | 53.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.1% |
Calm | 45.6% |
Sad | 46.1% |
Happy | 46.9% |
Confused | 45.4% |
Angry | 49.8% |
Surprised | 45.9% |
Disgusted | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Calm | 50.2% |
Happy | 45.4% |
Sad | 47.9% |
Angry | 45.4% |
Confused | 45.3% |
Disgusted | 45.4% |
Surprised | 45.4% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Sad | 50.2% |
Confused | 49.5% |
Calm | 49.6% |
Disgusted | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Happy | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Sad | 50.4% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.8% |
Sad | 46.4% |
Angry | 46% |
Happy | 45.6% |
Disgusted | 45.2% |
Calm | 49.7% |
Surprised | 46.2% |
Confused | 45.9% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.5% |
Angry | 49.6% |
Calm | 49.6% |
Confused | 49.6% |
Happy | 49.5% |
Sad | 50.1% |
Disgusted | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52% |
Calm | 45.5% |
Surprised | 45.2% |
Happy | 45.3% |
Disgusted | 52.9% |
Angry | 45.4% |
Sad | 45.6% |
Confused | 45.2% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 54.8% |
Confused | 45.3% |
Angry | 49.3% |
Disgusted | 45.3% |
Calm | 46.6% |
Happy | 45.2% |
Surprised | 45.6% |
Sad | 47.8% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.2% |
Surprised | 49.6% |
Sad | 49.7% |
Disgusted | 49.7% |
Happy | 49.5% |
Confused | 49.7% |
Calm | 49.7% |
Angry | 49.6% |

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

AWS Rekognition
Age | 10-15 |
Gender | Male, 52.3% |
Calm | 51.8% |
Sad | 46.1% |
Happy | 45.3% |
Confused | 45.4% |
Angry | 45.7% |
Surprised | 45.4% |
Disgusted | 45.3% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.4% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.6% |
Happy | 49.8% |
Confused | 49.5% |
Disgusted | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.1% |
Confused | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.9% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.9% |
Calm | 45.1% |
Confused | 45.1% |
Happy | 45.6% |
Disgusted | 45.1% |
Angry | 45.1% |
Surprised | 45.1% |
Sad | 54% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 53.2% |
Calm | 50.5% |
Happy | 46.4% |
Confused | 45.5% |
Sad | 46.2% |
Angry | 45.7% |
Surprised | 45.4% |
Disgusted | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 52.1% |
Confused | 45.2% |
Happy | 45.3% |
Surprised | 45.4% |
Calm | 49.7% |
Angry | 45.5% |
Sad | 48.1% |
Disgusted | 45.6% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.2% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 50.3% |
Disgusted | 49.6% |
Angry | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 98.8% | |
|
Captions
Microsoft
created on 2019-06-06
a group of people posing for a photo | 68.5% | |
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an old photo of a person | 68.4% | |
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a black and white photo of a person | 68.3% | |
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Text analysis
Amazon

Gomne

Gomne Rocm.

Rocm.

Saa

Game Room.

Game

Room.