Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
newspaper | 64.2 | |
| ||
product | 49.8 | |
| ||
creation | 38.9 | |
| ||
old | 27.2 | |
| ||
vintage | 26.5 | |
| ||
grunge | 25.5 | |
| ||
treasury | 19.8 | |
| ||
retro | 18.8 | |
| ||
antique | 17.3 | |
| ||
snow | 16.3 | |
| ||
aged | 16.3 | |
| ||
depository | 15.9 | |
| ||
art | 15.2 | |
| ||
daily | 14.5 | |
| ||
drawing | 14.1 | |
| ||
history | 13.4 | |
| ||
sky | 13.4 | |
| ||
structure | 13.3 | |
| ||
facility | 13.3 | |
| ||
landscape | 12.6 | |
| ||
black | 12.6 | |
| ||
texture | 12.5 | |
| ||
frame | 12.5 | |
| ||
city | 12.5 | |
| ||
building | 12.4 | |
| ||
ancient | 12.1 | |
| ||
paper | 11.8 | |
| ||
architecture | 11.7 | |
| ||
web site | 11.6 | |
| ||
beach | 11.3 | |
| ||
graphic | 10.9 | |
| ||
grungy | 10.4 | |
| ||
space | 10.1 | |
| ||
letter | 10.1 | |
| ||
travel | 9.9 | |
| ||
postmark | 9.8 | |
| ||
envelope | 9.7 | |
| ||
stamp | 9.7 | |
| ||
style | 9.6 | |
| ||
9.6 | ||
| ||
design | 9.6 | |
| ||
winter | 9.4 | |
| ||
house | 9.2 | |
| ||
silhouette | 9.1 | |
| ||
paint | 9.1 | |
| ||
postage | 8.8 | |
| ||
postal | 8.8 | |
| ||
artistic | 8.7 | |
| ||
scene | 8.7 | |
| ||
old fashioned | 8.6 | |
| ||
culture | 8.5 | |
| ||
tree | 8.5 | |
| ||
wallpaper | 8.4 | |
| ||
summer | 8.4 | |
| ||
grain | 8.3 | |
| ||
street | 8.3 | |
| ||
pattern | 8.2 | |
| ||
rough | 8.2 | |
| ||
vacation | 8.2 | |
| ||
border | 8.1 | |
| ||
dirty | 8.1 | |
| ||
weather | 8.1 | |
| ||
sand | 8.1 | |
| ||
circa | 7.9 | |
| ||
urban | 7.9 | |
| ||
forest | 7.8 | |
| ||
color | 7.8 | |
| ||
card | 7.7 | |
| ||
blank | 7.7 | |
| ||
billboard | 7.4 | |
| ||
tourism | 7.4 | |
| ||
brown | 7.4 | |
| ||
landmark | 7.2 | |
| ||
scenery | 7.2 | |
| ||
male | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 96.4 | |
| ||
Text | 85.2 | |
| ||
Snapshot | 84.9 | |
| ||
Stock photography | 70.9 | |
| ||
Photography | 67.8 | |
| ||
Adaptation | 67 | |
| ||
History | 66.1 | |
| ||
Room | 65.7 | |
| ||
Picture frame | 54.4 | |
|
Microsoft
created on 2019-06-05
person | 92.5 | |
| ||
scene | 80.5 | |
| ||
gallery | 76.8 | |
| ||
room | 71.2 | |
| ||
picture frame | 8.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.5% |
Happy | 49.6% |
Disgusted | 49.5% |
Angry | 49.6% |
Confused | 49.6% |
Calm | 49.8% |
Surprised | 49.5% |
Sad | 49.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 49.8% |
Angry | 49.9% |
Surprised | 49.5% |

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

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.2% |
Angry | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.4% |
Happy | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.5% |
Surprised | 49.5% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.6% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 50.1% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |
Confused | 49.5% |
Calm | 49.8% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.2% |
Happy | 49.5% |
Sad | 50.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.3% |
Disgusted | 49.7% |
Calm | 49.5% |
Confused | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 50% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 50.1% |
Angry | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 49.8% |
Surprised | 49.5% |
Sad | 49.8% |
Happy | 49.6% |
Confused | 49.6% |

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

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.1% |
Calm | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Confused | 49.5% |
Sad | 50.3% |
Disgusted | 49.5% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.4% |
Sad | 50.5% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 50.5% |
Angry | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Calm | 50.1% |
Surprised | 49.5% |
Happy | 49.7% |
Disgusted | 49.5% |
Angry | 49.5% |
Sad | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Confused | 49.6% |
Calm | 49.7% |
Surprised | 49.5% |
Sad | 50.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Calm | 49.7% |
Surprised | 49.5% |
Happy | 49.6% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 50% |
Confused | 49.6% |

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

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50% |
Angry | 49.7% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.5% |
Angry | 49.6% |
Happy | 49.6% |
Calm | 49.6% |
Confused | 49.5% |
Sad | 50.1% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Disgusted | 49.7% |
Confused | 49.5% |
Happy | 49.9% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 49.7% |
Angry | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 50.2% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Disgusted | 49.7% |
Angry | 49.6% |
Sad | 50% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Confused | 49.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Calm | 49.7% |
Happy | 49.7% |
Surprised | 49.6% |
Sad | 49.9% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.2% |
Confused | 49.5% |
Sad | 49.9% |
Disgusted | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.9% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Confused | 49.5% |
Sad | 49.5% |
Disgusted | 49.8% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.9% |
Surprised | 49.6% |
Feature analysis
Categories
Imagga
paintings art | 95% | |
| ||
text visuals | 2.9% | |
| ||
streetview architecture | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people in front of a sign | 31% | |
| ||
a group of people standing in front of a sign | 30.3% | |
| ||
a group of people posing for a photo | 27.5% | |
|
Text analysis
Amazon

Examples

Needs

Special

Public

Sehools

of

City

Examples of the Adaptation of Edueation to Special City Needs

the

Adaptation

to

Edueation

New York City Public Sehools

New

Ployground

treet

York

cits

OpenA

Vocotio

401.73.610

660

Vocotio Ployground OpenA Ar)

660 treet -Ave Monhattan

Monhattan

-Ave

Ar)

New York City Public Schools
Examples of the Adaptation of Education to Special City Needs
Open Air)
66t Streetve A. Monhattan
Va

New

York

City

Public

Schools

Examples

of

the

Adaptation

Education

to

Special

Needs

Open

Air)

66t

Streetve

A.

Monhattan

Va