Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
no person | 97.8 | |
| ||
people | 97.8 | |
| ||
indoors | 97.4 | |
| ||
furniture | 97.1 | |
| ||
93.3 | ||
| ||
room | 93.2 | |
| ||
chair | 92.8 | |
| ||
adult | 92.2 | |
| ||
man | 90.7 | |
| ||
group | 86.5 | |
| ||
art | 86.1 | |
| ||
military | 85.8 | |
| ||
interior design | 84.7 | |
| ||
many | 84.7 | |
| ||
exhibition | 84.3 | |
| ||
painting | 82.4 | |
| ||
contemporary | 82.2 | |
| ||
architecture | 80.6 | |
| ||
home | 80.1 | |
| ||
war | 80 | |
|
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Photograph | 96 | |
| ||
Text | 94.3 | |
| ||
Snapshot | 85.5 | |
| ||
Room | 79.1 | |
| ||
History | 72.6 | |
| ||
Adaptation | 67 | |
| ||
Photography | 62.4 | |
| ||
Stock photography | 59.4 | |
| ||
Collection | 52.1 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.5% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.8% |
Confused | 49.6% |
Disgusted | 49.6% |
Happy | 49.8% |
Sad | 49.6% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.8% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50% |
Disgusted | 49.8% |
Confused | 49.6% |
Surprised | 49.6% |
Calm | 49.7% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Angry | 49.6% |
Sad | 49.9% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Happy | 49.9% |
Sad | 49.6% |
Calm | 49.5% |
Confused | 49.5% |
Angry | 49.7% |
Disgusted | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Calm | 50.2% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Surprised | 49.6% |
Angry | 49.5% |
Happy | 49.6% |
Sad | 49.7% |
Calm | 50.1% |
Confused | 49.6% |
Disgusted | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 53.5% | |
| ||
text visuals | 30.5% | |
| ||
paintings art | 9.6% | |
| ||
food drinks | 2.5% | |
| ||
streetview architecture | 2.1% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people in a room | 46.3% | |
| ||
an old photo of a person | 33% | |
|
Text analysis
Amazon

Needs

Examples

City

Special

York

New

Adaptation

Examples of the Adaptation of Education to Special City Needs

the

of

to

Wodleigh

Education

from

Manhott

Class from Wodleigh igh Scheol Manhott

Class

igh

Schools

New York City Public Schools 4811.713.519

Public

Monhattan

Aquarium Monhattan

Scheol

Aquarium

4811.713.519

C58

C60

El13. 51
New York City Public Schools
Examples of the Adaptation of Education to Special City Needs
hausmMan
Class from Wadleigh High Sehool. Manhattan
Aquarium, Monhattan.

El13.

51

New

York

City

Public

Schools

Examples

of

the

Adaptation

Education

to

Special

Needs

hausmMan

Class

from

Wadleigh

High

Sehool.

Manhattan

Aquarium,

Monhattan.