Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
Google
created on 2019-06-05
Photograph | 96.1 | |
| ||
Text | 85.2 | |
| ||
Snapshot | 82 | |
| ||
Crowd | 76.4 | |
| ||
Adaptation | 67 | |
| ||
Room | 65.7 | |
| ||
Photography | 62.4 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.9% |
Sad | 45.4% |
Disgusted | 45.1% |
Surprised | 45.1% |
Happy | 53.6% |
Confused | 45.1% |
Calm | 45.1% |
Angry | 45.5% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 52.9% |
Sad | 48.8% |
Disgusted | 45.2% |
Angry | 46.1% |
Surprised | 45.5% |
Calm | 48.8% |
Confused | 45.5% |
Happy | 45.1% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 54% |
Sad | 54.6% |
Disgusted | 45.1% |
Happy | 45% |
Surprised | 45.1% |
Angry | 45.2% |
Calm | 45.1% |
Confused | 45% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50.4% |
Disgusted | 49.6% |
Surprised | 49.6% |
Sad | 49.6% |
Angry | 49.7% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.6% |
Calm | 49.9% |
Disgusted | 49.7% |
Happy | 49.6% |
Surprised | 49.6% |
Sad | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50% |
Surprised | 49.6% |
Happy | 49.7% |
Disgusted | 49.6% |
Calm | 49.9% |
Sad | 49.6% |
Angry | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.4% |
Sad | 49.8% |
Disgusted | 49.5% |
Calm | 49.6% |
Confused | 49.6% |
Angry | 49.9% |
Surprised | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Calm | 49.8% |
Sad | 49.7% |
Surprised | 49.5% |
Disgusted | 49.6% |
Happy | 49.5% |
Angry | 49.8% |
Confused | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.5% |
Sad | 50.2% |
Happy | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 52.5% |
Calm | 45% |
Sad | 54.6% |
Angry | 45.1% |
Confused | 45% |
Happy | 45.3% |
Disgusted | 45% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.4% |
Angry | 45.5% |
Sad | 53.5% |
Disgusted | 45.1% |
Happy | 45.4% |
Confused | 45.1% |
Calm | 45.4% |
Surprised | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.2% |
Calm | 50% |
Surprised | 49.6% |
Disgusted | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Sad | 49.7% |
Confused | 49.5% |

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

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.5% |
Surprised | 49.6% |
Confused | 49.7% |
Happy | 49.5% |
Calm | 49.6% |
Disgusted | 49.6% |
Sad | 50% |
Angry | 49.6% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 50.2% |
Disgusted | 49.5% |
Sad | 49.7% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Angry | 49.5% |
Calm | 50.1% |
Disgusted | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Sad | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.8% |
Sad | 50% |
Surprised | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Disgusted | 49.7% |
Confused | 49.6% |
Calm | 49.6% |
Angry | 49.7% |
Happy | 49.6% |
Sad | 49.8% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Confused | 49.5% |
Sad | 50.2% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.4% |
Calm | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.7% |
Sad | 50.2% |

AWS Rekognition
Age | 6-13 |
Gender | Male, 50.4% |
Calm | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 50% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 50% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.6% |
Confused | 45.2% |
Disgusted | 45.3% |
Sad | 46.4% |
Surprised | 45.3% |
Calm | 51.8% |
Angry | 45.7% |
Happy | 45.2% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 54.7% |
Disgusted | 45.6% |
Surprised | 45.7% |
Happy | 49.9% |
Calm | 45.5% |
Angry | 45.8% |
Confused | 45.8% |
Sad | 46.8% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.4% |
Calm | 49.9% |
Surprised | 49.6% |
Happy | 49.6% |
Disgusted | 49.5% |
Angry | 49.7% |
Sad | 49.7% |
Confused | 49.6% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 50.1% |
Sad | 49.6% |
Confused | 49.7% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.3% |
Happy | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Surprised | 49.5% |
Sad | 49.8% |
Angry | 49.6% |
Calm | 49.8% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 50.2% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 50% |
Confused | 49.5% |
Sad | 49.7% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50% |
Confused | 49.6% |
Disgusted | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Angry | 49.8% |
Happy | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.5% |
Happy | 49.6% |
Sad | 50.3% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.3% |
Angry | 49.5% |
Disgusted | 49.5% |
Sad | 50.2% |
Happy | 49.5% |
Confused | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.5% |
Happy | 49.5% |
Surprised | 49.7% |
Angry | 49.6% |
Calm | 49.8% |
Sad | 49.7% |
Disgusted | 49.5% |
Confused | 49.8% |
Feature analysis
Categories
Imagga
streetview architecture | 58.7% | |
| ||
text visuals | 23.3% | |
| ||
paintings art | 10.3% | |
| ||
pets animals | 2.6% | |
| ||
nature landscape | 2.5% | |
| ||
events parties | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a sign in front of a crowd | 73.8% | |
| ||
a sign posing for the camera | 64.1% | |
| ||
a black sign with white text on screen | 42.3% | |
|
Text analysis
Amazon

York

Needs

the

City

of

Examples

Edueation

Public

Examples of the Adaptation of Edueation to Special City Needs

to

Now

Evening

Now York City Public Sehools

Adaptation

Special

Pubtie

Sehools

Ploycenter-

Playgreuns

Roaf

Evening Ploycenter- Coreert dm Roaf Playgreuns

Monhettam

Coreert

Pubtie ehasl NP/47 Monhettam

NP/47

6EE

ehasl

dm

Now York City Public Sehools
Examples of the Adaptation of Education to Special City Needs
Evening Playcenter - Concert en Roof Piaygreuna
Publie dehoai Ne/47 Manhatfan

Now

York

City

Public

Sehools

Examples

of

the

Adaptation

Education

to

Special

Needs

Evening

Playcenter

-

Concert

en

Roof

Piaygreuna

Publie

dehoai

Ne/47

Manhatfan