Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
room | 38.4 | |
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interior | 30.9 | |
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building | 23.7 | |
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table | 22.2 | |
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house | 21.7 | |
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structure | 20.5 | |
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architecture | 20.3 | |
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wall | 19.8 | |
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decoration | 19.4 | |
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furniture | 18.4 | |
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home | 18.3 | |
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old | 18.1 | |
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window | 18.1 | |
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floor | 17.7 | |
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design | 17.4 | |
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chair | 16.1 | |
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wood | 15 | |
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grunge | 14.5 | |
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decor | 14.1 | |
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classroom | 13.7 | |
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empty | 12.9 | |
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indoor | 12.8 | |
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light | 12.7 | |
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modern | 12.6 | |
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inside | 12 | |
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indoors | 11.4 | |
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living | 11.4 | |
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restaurant | 11.2 | |
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style | 11.1 | |
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shop | 10.8 | |
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seat | 10.7 | |
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antique | 10.6 | |
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art | 10.5 | |
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luxury | 10.3 | |
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elegant | 10.3 | |
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day | 10.2 | |
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dinner | 10.1 | |
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space | 10.1 | |
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glass | 9.9 | |
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chairs | 9.8 | |
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sofa | 9.8 | |
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lamp | 9.5 | |
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flower | 9.2 | |
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travel | 9.1 | |
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city | 9.1 | |
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sketch | 9.1 | |
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plant | 8.9 | |
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hall | 8.7 | |
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ancient | 8.6 | |
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residential | 8.6 | |
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hotel | 8.6 | |
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estate | 8.5 | |
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real | 8.5 | |
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barbershop | 8.4 | |
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frame | 8.3 | |
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drawing | 8.3 | |
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food | 8.2 | |
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balcony | 8 | |
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scene | 7.8 | |
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3d | 7.7 | |
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comfortable | 7.6 | |
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relax | 7.6 | |
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dark | 7.5 | |
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decorative | 7.5 | |
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place | 7.4 | |
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aged | 7.2 | |
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material | 7.1 | |
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school | 7.1 | |
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Google
created on 2019-06-06
Photograph | 97.2 | |
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Snapshot | 89.7 | |
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Room | 85.4 | |
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Text | 85.2 | |
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Stock photography | 74.4 | |
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Adaptation | 74.1 | |
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Photography | 72.5 | |
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History | 57.6 | |
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Picture frame | 53.4 | |
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Photographic paper | 52.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Disgusted | 49.7% |
Happy | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Sad | 49.6% |
Confused | 49.6% |
Calm | 49.9% |

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

AWS Rekognition
Age | 4-9 |
Gender | Female, 54.9% |
Confused | 45.1% |
Surprised | 45% |
Angry | 45.3% |
Happy | 45.1% |
Sad | 54.3% |
Calm | 45% |
Disgusted | 45.1% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 54.4% |
Calm | 45.4% |
Sad | 50.5% |
Surprised | 45.3% |
Angry | 47.8% |
Happy | 45.6% |
Confused | 45.2% |
Disgusted | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.9% |
Calm | 45.1% |
Happy | 46.3% |
Sad | 50.9% |
Angry | 45.9% |
Disgusted | 46.1% |
Confused | 45.2% |
Surprised | 45.4% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.4% |
Angry | 49.7% |
Calm | 49.7% |
Disgusted | 49.7% |
Surprised | 49.7% |
Sad | 49.6% |
Happy | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.1% |
Happy | 49.5% |
Sad | 50.1% |
Confused | 49.6% |
Calm | 49.7% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.5% |
Calm | 52% |
Sad | 45.3% |
Surprised | 45.4% |
Angry | 45.3% |
Happy | 46.5% |
Confused | 45.1% |
Disgusted | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 50.3% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Calm | 50% |
Sad | 49.7% |
Happy | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Surprised | 49.6% |
Calm | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Sad | 50% |
Disgusted | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.4% |
Angry | 49.5% |
Disgusted | 50% |
Surprised | 49.5% |
Calm | 49.5% |
Sad | 49.9% |
Happy | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.4% |
Calm | 49.7% |
Surprised | 49.6% |
Happy | 49.5% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 49.8% |
Confused | 49.8% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.4% |
Confused | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.8% |
Calm | 49.6% |
Disgusted | 49.8% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Sad | 50% |
Disgusted | 49.6% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 50.2% |
Disgusted | 49.5% |
Sad | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.9% |
Angry | 45.2% |
Happy | 45.3% |
Confused | 45.8% |
Surprised | 45.7% |
Sad | 45.3% |
Disgusted | 45.2% |
Calm | 52.6% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.1% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Feature analysis
Categories
Imagga
interior objects | 97.4% | |
| ||
food drinks | 1.4% | |
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Captions
Microsoft
created on 2019-06-06
a vintage photo of a group of people in a room | 91.8% | |
| ||
a vintage photo of some people in a room | 91.7% | |
| ||
a vintage photo of some people | 77.8% | |
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Text analysis
Amazon

Room.

Redding Room.

Redding

Reading Room

Reading

Room