Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 98.8 | |
| ||
Human | 98.8 | |
| ||
Person | 98.6 | |
| ||
Person | 98 | |
| ||
Person | 97.5 | |
| ||
Person | 97.1 | |
| ||
Person | 94.9 | |
| ||
Person | 94.6 | |
| ||
Text | 94.3 | |
| ||
Person | 94.2 | |
| ||
Person | 94.2 | |
| ||
Person | 90.2 | |
| ||
Person | 87.8 | |
| ||
Animal | 87.6 | |
| ||
Mammal | 87.6 | |
| ||
Horse | 87.6 | |
| ||
Person | 87.5 | |
| ||
Person | 86.2 | |
| ||
Person | 84.5 | |
| ||
Person | 84 | |
| ||
People | 80.7 | |
| ||
Person | 79.4 | |
| ||
Person | 78.8 | |
| ||
Person | 78.3 | |
| ||
Person | 75.8 | |
| ||
Person | 75.7 | |
| ||
Person | 73.8 | |
| ||
Person | 70.3 | |
| ||
Crowd | 62.7 | |
| ||
Person | 60.7 | |
| ||
Person | 56.8 | |
| ||
Person | 49.1 | |
| ||
Person | 48.8 | |
| ||
Person | 45 | |
|
Clarifai
created on 2019-06-04
people | 98.9 | |
| ||
group | 98.2 | |
| ||
many | 98 | |
| ||
97.7 | ||
| ||
vehicle | 95.3 | |
| ||
lithograph | 93.7 | |
| ||
illustration | 92.6 | |
| ||
transportation system | 92.5 | |
| ||
cavalry | 92.3 | |
| ||
military | 92 | |
| ||
man | 90.7 | |
| ||
crowd | 90.4 | |
| ||
war | 90.2 | |
| ||
adult | 89.4 | |
| ||
industry | 87.7 | |
| ||
group together | 85.8 | |
| ||
no person | 84.1 | |
| ||
calamity | 82.9 | |
| ||
soldier | 82.1 | |
| ||
skirmish | 81.5 | |
|
Imagga
created on 2019-06-04
sketch | 100 | |
| ||
drawing | 76.3 | |
| ||
representation | 58.9 | |
| ||
sky | 24.2 | |
| ||
structure | 22.5 | |
| ||
house | 15.9 | |
| ||
architecture | 15.6 | |
| ||
landscape | 15.6 | |
| ||
city | 15 | |
| ||
sea | 14.9 | |
| ||
construction | 14.6 | |
| ||
grunge | 14.5 | |
| ||
urban | 14 | |
| ||
scene | 13.9 | |
| ||
beach | 13.7 | |
| ||
water | 12.7 | |
| ||
old | 12.5 | |
| ||
sand | 12.2 | |
| ||
building | 12 | |
| ||
design | 11.8 | |
| ||
billboard | 11.8 | |
| ||
ocean | 11.1 | |
| ||
coast | 10.8 | |
| ||
tree | 10.8 | |
| ||
vintage | 10.8 | |
| ||
retro | 10.7 | |
| ||
travel | 10.6 | |
| ||
bridge | 10.5 | |
| ||
summer | 10.3 | |
| ||
river | 10.2 | |
| ||
winter | 10.2 | |
| ||
facility | 10.1 | |
| ||
vacation | 9.8 | |
| ||
sewage system | 9.8 | |
| ||
trees | 9.8 | |
| ||
coastline | 9.4 | |
| ||
outdoor | 9.2 | |
| ||
black | 9 | |
| ||
empty | 8.6 | |
| ||
industry | 8.5 | |
| ||
field | 8.4 | |
| ||
texture | 8.3 | |
| ||
tourism | 8.3 | |
| ||
outdoors | 8.2 | |
| ||
sunset | 8.1 | |
| ||
tower | 8.1 | |
| ||
signboard | 8 | |
| ||
rural | 7.9 | |
| ||
scenic | 7.9 | |
| ||
antique | 7.9 | |
| ||
wagon | 7.8 | |
| ||
seascape | 7.7 | |
| ||
resort | 7.6 | |
| ||
snow | 7.6 | |
| ||
town | 7.4 | |
| ||
wheeled vehicle | 7.4 | |
| ||
street | 7.4 | |
| ||
backgrounds | 7.3 | |
| ||
business | 7.3 | |
| ||
road | 7.2 | |
| ||
history | 7.2 | |
| ||
grass | 7.1 | |
| ||
paper | 7.1 | |
|
Google
created on 2019-06-04
Text | 92.2 | |
| ||
Adaptation | 67 | |
| ||
History | 62.6 | |
| ||
Art | 62.5 | |
| ||
Photography | 62.4 | |
| ||
Collection | 60.8 | |
| ||
Visual arts | 55 | |
| ||
Illustration | 54.5 | |
| ||
Paper product | 50.3 | |
|
Microsoft
created on 2019-06-04
person | 90 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.5% |
Confused | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 50.3% |
Surprised | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Angry | 49.8% |
Sad | 49.9% |
Surprised | 49.5% |
Happy | 49.6% |
Calm | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Sad | 50.2% |
Surprised | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 49.9% |
Surprised | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Calm | 49.8% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.4% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 50.5% |
Confused | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 50.1% |
Calm | 49.5% |
Disgusted | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.3% |
Calm | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.2% |
Sad | 49.6% |
Angry | 49.9% |
Calm | 49.5% |
Confused | 49.6% |
Happy | 49.7% |
Surprised | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 49.7% |
Disgusted | 49.8% |
Calm | 49.7% |
Angry | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50% |
Angry | 49.7% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 50.1% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 49.6% |
Calm | 49.9% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.7% |
Angry | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Sad | 49.8% |
Confused | 49.7% |
Angry | 49.8% |
Surprised | 49.6% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.6% |
Feature analysis
Amazon
Person
Horse

Person | 98.8% | |
|

Person | 98.6% | |
|

Person | 98% | |
|

Person | 97.5% | |
|

Person | 97.1% | |
|

Person | 94.9% | |
|

Person | 94.6% | |
|

Person | 94.2% | |
|

Person | 94.2% | |
|

Person | 90.2% | |
|

Person | 87.8% | |
|

Person | 87.5% | |
|

Person | 86.2% | |
|

Person | 84.5% | |
|

Person | 84% | |
|

Person | 79.4% | |
|

Person | 78.8% | |
|

Person | 78.3% | |
|

Person | 75.8% | |
|

Person | 75.7% | |
|

Person | 73.8% | |
|

Person | 70.3% | |
|

Person | 60.7% | |
|

Person | 56.8% | |
|

Person | 49.1% | |
|

Person | 48.8% | |
|

Person | 45% | |
|

Horse | 87.6% | |
|
Categories
Imagga
paintings art | 87.4% | |
| ||
text visuals | 9.6% | |
| ||
streetview architecture | 2.2% | |
|
Captions
Microsoft
created on 2019-06-04
a close up of a horse drawn carriage | 30.4% | |
| ||
an old photo of a horse | 30.3% | |
| ||
a close up of a horse drawn wagon | 30.2% | |
|
Text analysis
Amazon

Needs

the

New

Adaptation

City

Examples

Edueation

of

Examples of the Adaptation of Edueation to Special City Needs

Schools

Public

to

New York City Public Schools 11-01..40

York

Public School

Special

Vocotion

School

11-01..40

New

York

Examples

of

the

Special

City

Needs

1S

hule

ol

New York City Public Schools
Examples of the Adaptation of Education to Special City Needs
1S
hule 15d
Public Scho ol Ne 45 Brooklyn
Vacotion Playgrounds

Public

Schools

Adaptation

Education

to

15d

Scho

Ne

45

Brooklyn

Vacotion

Playgrounds