Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Room | 74.4 | |
| ||
Furniture | 66 | |
| ||
Machine | 59.5 | |
| ||
Toolroom | 53.6 | |
| ||
Vintage clothing | 52.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 15-25 |
Gender | Male, 54.2% |
Calm | 52.1% |
Confused | 45% |
Sad | 47.6% |
Angry | 45.1% |
Happy | 45.1% |
Disgusted | 45% |
Surprised | 45% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.6% |
Calm | 46.3% |
Happy | 48% |
Disgusted | 45.3% |
Confused | 45.4% |
Surprised | 45.5% |
Sad | 49.2% |
Angry | 45.4% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 51% |
Sad | 49.3% |
Confused | 45.3% |
Disgusted | 45.2% |
Happy | 47% |
Angry | 45.3% |
Calm | 47.7% |
Surprised | 45.4% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 50.1% |
Confused | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.1% |
Calm | 45.2% |
Disgusted | 45.1% |
Angry | 45.6% |
Sad | 53.9% |
Happy | 45.1% |
Confused | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Calm | 49.7% |
Happy | 49.5% |
Sad | 50.2% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Confused | 49.5% |

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

AWS Rekognition
Age | 14-25 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Sad | 49.8% |
Calm | 49.9% |
Happy | 49.6% |
Confused | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.5% |
Happy | 49.7% |
Sad | 49.7% |
Angry | 49.6% |
Calm | 49.7% |
Confused | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.3% |
Confused | 49.6% |
Disgusted | 49.5% |
Sad | 50% |
Angry | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Calm | 49.8% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.5% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Sad | 50.1% |
Confused | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.2% |
Surprised | 49.6% |
Angry | 49.7% |
Happy | 49.7% |
Sad | 49.8% |
Calm | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.2% |
Calm | 49.6% |
Disgusted | 49.6% |
Surprised | 49.6% |
Sad | 49.8% |
Happy | 49.6% |
Angry | 49.8% |
Confused | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 52.7% |
Surprised | 45.7% |
Confused | 45.9% |
Angry | 45.5% |
Disgusted | 45.5% |
Sad | 47.7% |
Happy | 46.2% |
Calm | 48.4% |

Microsoft Cognitive Services
Age | 22 |
Gender | Female |
Feature analysis
Categories
Imagga
paintings art | 68.6% | |
| ||
interior objects | 14.5% | |
| ||
streetview architecture | 11.5% | |
| ||
people portraits | 3.1% | |
|
Captions
Microsoft
created on 2019-06-04
a vintage photo of a group of people in a room | 86.8% | |
| ||
an old photo of a group of people in a room | 86.7% | |
| ||
a group of people in a room | 86.6% | |
|
Text analysis
Amazon

S.4MANHATTAN.

c g

P.S.141MANHATTAN.

P.S.141MANHATTAN.