Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. 66th Street and Avenue A Vacation Playground: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playground - 66th Street and Avenue A.
Date

c. 1903
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, 3.2002.2527

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. 66th Street and Avenue A Vacation Playground: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playground - 66th Street and Avenue A.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2527

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Acrobatic 99.5
Human 99.5
Advertisement 98.6
Poster 98.6
Person 98.4
Person 92.7
Person 90.2
Person 85.7
Person 84.4
Person 83.1
Person 82.8
Person 75.3
Dog 72.5
Canine 72.5
Animal 72.5
Pet 72.5
Mammal 72.5
Person 61.6
Person 59.4
Pole Vault 59.1
Sports 59.1
Sport 59.1
Person 43.2

Clarifai
created on 2019-06-04

people 99.6
adult 97.5
group together 97.4
group 96
many 96
man 95.7
one 93.6
watercraft 91.9
vehicle 90.1
print 89.9
wear 88.1
transportation system 84.3
military 84.3
war 82.7
two 81.3
crowd 80.3
skirmish 80
action 79.2
administration 78
competition 77.2

Imagga
created on 2019-06-04

sketch 72.3
drawing 55.8
representation 44.2
architecture 25.8
structure 25.7
sky 24.2
city 20
travel 19
old 18.8
building 18.6
landmark 16.2
tower 16.2
tourism 14.8
ship 14.4
water 14
construction 13.7
grunge 13.6
flag 13.5
history 13.4
vintage 13.2
high 13
billboard 12.6
bridge 12.3
urban 12.2
paper 11.8
sunset 11.7
house 11
sea 10.9
emblem 10.8
symbol 10.8
retro 10.6
antique 10.5
electricity 10.4
ancient 10.4
industry 10.2
clouds 10.1
power 10.1
silhouette 9.9
scenery 9.9
river 9.8
landscape 9.7
old fashioned 9.5
buildings 9.5
bay 9.4
light 9.4
boat 9.3
energy 9.2
aged 9
signboard 9
historical 8.5
texture 8.3
vessel 8
business 7.9
wall 7.9
sailboat 7.8
downtown 7.7
winter 7.7
dusk 7.6
skyline 7.6
cityscape 7.6
town 7.4
street 7.4
historic 7.3
industrial 7.3
metal 7.2
summer 7.1

Google
created on 2019-06-04

Text 85.2
Snapshot 82.5
Adaptation 67
History 57.6

Microsoft
created on 2019-06-04

person 68.9
old 66.7
sky 64

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 49.8%
Surprised 49.6%
Disgusted 49.5%
Calm 49.6%
Happy 49.7%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 50%
Happy 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Disgusted 49.6%
Sad 50.2%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 49.8%
Calm 49.7%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.8%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.8%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.8%
Calm 49.7%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Confused 49.5%
Angry 49.9%
Surprised 49.5%
Sad 49.9%
Disgusted 49.6%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Sad 49.6%
Surprised 49.6%
Disgusted 49.6%
Angry 50.1%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Sad 50.2%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 54.3%
Disgusted 47.1%
Sad 47.5%
Surprised 45.3%
Calm 49.1%
Angry 45.4%
Happy 45.4%
Confused 45.2%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.6%
Angry 49.6%
Sad 50.1%
Happy 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.7%
Disgusted 49.6%
Calm 49.6%
Happy 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.5%
Sad 50%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 49.5%
Disgusted 49.6%
Surprised 49.5%
Angry 49.5%
Happy 49.6%
Calm 50.2%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.6%
Happy 49.8%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%
Sad 49.9%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Confused 49.6%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Sad 49.6%
Happy 49.8%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Confused 49.6%
Angry 49.5%
Calm 50.1%
Disgusted 49.5%
Sad 49.6%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.5%
Disgusted 49.8%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Happy 49.5%
Angry 49.7%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 50%
Confused 49.6%
Angry 49.7%
Happy 49.6%
Calm 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Confused 49.6%
Disgusted 50.1%
Happy 49.5%
Calm 49.6%
Surprised 49.6%
Sad 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Calm 49.7%
Disgusted 49.6%
Surprised 49.5%
Sad 50%
Happy 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Male, 50.1%
Sad 50%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Confused 49.7%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Surprised 49.6%
Calm 49.7%
Happy 49.5%
Disgusted 49.6%
Confused 49.7%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.7%
Surprised 49.5%
Disgusted 50%
Happy 49.5%
Calm 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Calm 50%
Happy 49.6%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Calm 49.6%
Surprised 49.5%
Angry 50%
Sad 49.6%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Confused 49.6%
Disgusted 49.6%
Sad 49.7%
Surprised 49.6%
Calm 49.8%
Happy 49.7%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.5%
Confused 49.6%
Happy 49.6%
Calm 50%
Surprised 49.6%
Sad 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.9%
Happy 49.5%
Disgusted 49.6%
Calm 49.8%
Angry 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Angry 49.5%
Calm 49.5%
Disgusted 50.5%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Sad 49.8%
Confused 49.5%
Calm 50%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Confused 49.6%
Sad 49.9%
Disgusted 49.6%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%
Sad 49.7%
Angry 49.9%
Surprised 49.6%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Confused 49.8%
Calm 49.5%
Happy 49.5%
Surprised 49.7%
Sad 49.8%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 49.6%
Happy 49.9%
Surprised 49.6%
Disgusted 49.6%
Angry 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 50%
Surprised 49.6%
Disgusted 49.5%
Confused 49.7%
Happy 49.6%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50%
Calm 49.6%
Sad 49.9%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Angry 49.6%
Surprised 49.7%
Disgusted 49.5%
Happy 49.5%
Calm 49.9%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 49.7%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 49.7%
Calm 49.7%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.9%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Calm 50%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Happy 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 50.4%
Angry 49.5%
Confused 49.5%
Surprised 49.5%

Feature analysis

Amazon

Poster 98.6%
Person 98.4%
Dog 72.5%

Categories

Imagga

interior objects 99.9%

Captions

Microsoft
created on 2019-06-04

an old photo of a person 42.9%
old photo of a person 40%
an old photo of a person 36.6%

Text analysis

Amazon

Examples
York
Adaptation
Needs
Public
City
New York City Public Schools
New
Schools
Special
Education
of
Examples of the Adaptation of Education to Special City Needs
the
to
Street
Avenue
ond
Vacation
Vacation Playground-6 66 Street ond Avenue A.
Playground-6
66
A.

Google

Examples
of
the
Adaptation
Education
to
Special
City
Needs
Play
g
Vacation
PI
66
and
Avenue
A.
New York City Public Schools Examples of the Adaptation of Education to Special City Needs Play g Vacation PI round- 66 Street and Avenue A.
New
York
Public
Schools
round-
Street