Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Brooklyn, Vacation Playground, Public School No. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 45 Brooklyn. Vacation Playgrounds.
Date

1902
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2515

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Brooklyn, Vacation Playground, Public School No. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 45 Brooklyn. Vacation Playgrounds.

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2515

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
print 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

Google

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