Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
room | 64.3 | |
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restaurant | 57.2 | |
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interior | 56.6 | |
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table | 46.1 | |
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cafeteria | 43 | |
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chair | 40.4 | |
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classroom | 34.1 | |
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furniture | 32.9 | |
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building | 31.2 | |
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modern | 26.6 | |
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hall | 26 | |
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decor | 23.9 | |
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design | 22.5 | |
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dinner | 22.4 | |
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structure | 22.3 | |
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floor | 22.3 | |
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dining | 21.9 | |
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empty | 20.6 | |
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inside | 20.2 | |
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glass | 20.2 | |
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indoors | 19.3 | |
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house | 19.2 | |
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home | 19.1 | |
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luxury | 18 | |
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architecture | 17.2 | |
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banquet | 16.7 | |
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wood | 16.7 | |
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tables | 15.7 | |
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chairs | 15.7 | |
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seat | 15.4 | |
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light | 15.4 | |
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window | 14.8 | |
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style | 14.8 | |
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indoor | 14.6 | |
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decoration | 14.6 | |
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hotel | 14.3 | |
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elegance | 14.3 | |
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urban | 14 | |
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food | 13.6 | |
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comfortable | 13.4 | |
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lamp | 13.3 | |
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contemporary | 13.2 | |
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shop | 13.1 | |
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eat | 11.7 | |
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nobody | 11.7 | |
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business | 11.5 | |
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elegant | 11.1 | |
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meal | 10.9 | |
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city | 10.8 | |
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party | 10.3 | |
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lunch | 10.3 | |
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place | 10.2 | |
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bar | 10.2 | |
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people | 10 | |
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drink | 10 | |
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office | 9.8 | |
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life | 9.7 | |
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relax | 9.3 | |
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service | 9.3 | |
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wine | 9.2 | |
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wedding | 9.2 | |
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kitchen | 9 | |
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stool | 8.9 | |
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scene | 8.6 | |
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work | 8.6 | |
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residential | 8.6 | |
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salon | 8.6 | |
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wall | 8.5 | |
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living | 8.5 | |
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desk | 8.5 | |
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wooden | 7.9 | |
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center | 7.8 | |
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catering | 7.8 | |
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dine | 7.8 | |
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setting | 7.7 | |
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decorate | 7.6 | |
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relaxation | 7.5 | |
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reflection | 7.3 | |
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day | 7.1 | |
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travel | 7 | |
|
Google
created on 2019-06-05
Photograph | 95.6 | |
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Snapshot | 84.1 | |
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Room | 80.1 | |
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Stock photography | 62.1 | |
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History | 54.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.1% |
Calm | 49.7% |
Sad | 49.7% |
Angry | 49.7% |
Surprised | 49.6% |
Disgusted | 49.7% |
Confused | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Calm | 49.6% |
Sad | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 50.3% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.3% |
Angry | 49.7% |
Sad | 50.2% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Confused | 49.6% |
Surprised | 49.6% |
Sad | 49.6% |
Calm | 49.9% |
Happy | 49.6% |
Angry | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.6% |
Disgusted | 49.5% |
Sad | 50.2% |
Calm | 49.6% |
Happy | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 2-5 |
Gender | Female, 53.4% |
Happy | 45.8% |
Sad | 51.7% |
Surprised | 45.7% |
Angry | 45.3% |
Calm | 45.7% |
Disgusted | 45.3% |
Confused | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Sad | 49.6% |
Calm | 49.7% |
Surprised | 49.7% |
Angry | 49.5% |
Happy | 49.7% |
Confused | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Sad | 49.7% |
Angry | 49.9% |
Disgusted | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.7% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Calm | 49.7% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 50.1% |
Confused | 49.6% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 52.5% |
Confused | 45.8% |
Sad | 48.5% |
Disgusted | 45.8% |
Angry | 47.4% |
Happy | 45.7% |
Calm | 46.2% |
Surprised | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Happy | 49.8% |
Disgusted | 49.6% |
Sad | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |
Calm | 49.7% |
Angry | 49.7% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.5% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 49.6% |
Happy | 50% |
Surprised | 49.6% |
Sad | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 49-69 |
Gender | Male, 50.2% |
Surprised | 45.1% |
Angry | 45.2% |
Sad | 54.1% |
Happy | 45% |
Disgusted | 45% |
Calm | 45.5% |
Confused | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 50.1% |
Angry | 49.6% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Disgusted | 49.8% |
Confused | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Happy | 49.5% |
Sad | 49.7% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
interior objects | 99.9% | |
|
Captions
Microsoft
created on 2019-06-05
an old photo of a group of people in a room | 89.2% | |
| ||
an old photo of a group of people standing in a room | 85% | |
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a group of people posing for a photo | 74% | |
|
Text analysis

SK

SK