Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs
Date

c. 1900
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, 3.2002.1467

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1467

Machine Generated Data

Tags

Amazon
created on 2019-06-04

School 100
Indoors 100
Classroom 100
Room 100
Human 98.6
Person 98.6
Person 98.5
Person 98.2
Person 97.8
Person 97.5
Person 94.8
Person 93.8
Person 88.5
Person 86.4
Person 83.6
Person 72.8
Person 62.1
Person 57.4
Person 42.3

Clarifai
created on 2019-06-04

people 99.2
many 97.8
group 97.3
adult 95.4
room 94.4
man 93.6
war 91.1
group together 89.8
furniture 88
exhibition 87.7
print 87.4
administration 86.3
woman 85.6
vehicle 85.3
wear 85
indoors 84
military 82.7
crowd 82.3
monochrome 80.2
art 80

Imagga
created on 2019-06-04

drawing 28.2
sketch 26.9
grunge 19.6
architecture 19.5
building 17.7
business 17.6
city 17.4
house 16.7
old 15.3
room 14.8
representation 14.5
construction 14.5
office 14.2
interior 14.1
travel 14.1
design 14.1
vintage 14.1
urban 14
window 13.1
people 12.8
modern 12.6
structure 12.3
sky 12.1
wall 12
silhouette 10.8
retro 10.6
shop 10.4
plan 10.4
scene 10.4
paper 10.2
floor 10.2
light 10
frame 10
wheeled vehicle 10
male 9.9
antique 9.6
home 9.6
water 9.3
finance 9.3
classroom 9.3
tourist 9.1
texture 9
table 9
transportation 9
decor 8.8
life 8.7
art 8.5
black 8.4
car 8.4
tourism 8.2
paint 8.1
dirty 8.1
landmark 8.1
sunset 8.1
history 8
station 7.9
glass 7.9
empty 7.7
project 7.7
mercantile establishment 7.6
bridge 7.6
power 7.6
freight car 7.5
pattern 7.5
human 7.5
man 7.4
speed 7.3
transport 7.3
success 7.2
lines 7.2
material 7.1
chair 7

Google
created on 2019-06-04

Photograph 96
Text 90.8
Snapshot 85.2
Room 80.1
History 73.3
Collection 61.9
Paper product 57.7

Microsoft
created on 2019-06-04

indoor 96.9
person 94
furniture 88.2
table 82.5
library 79.2
clothing 60.1
cluttered 19.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 50%
Sad 49.9%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 53.6%
Disgusted 45.4%
Surprised 45.4%
Angry 46.2%
Happy 45.7%
Calm 48.5%
Sad 48%
Confused 45.8%

AWS Rekognition

Age 12-22
Gender Male, 50.2%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.6%
Sad 49.9%
Happy 49.9%
Surprised 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Confused 49.6%
Sad 49.9%
Surprised 49.6%
Happy 49.7%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Disgusted 49.5%
Sad 49.6%
Calm 49.7%
Happy 49.9%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50%
Angry 49.8%
Surprised 49.6%
Calm 49.6%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.7%

AWS Rekognition

Age 19-36
Gender Male, 50.2%
Surprised 49.6%
Confused 49.7%
Disgusted 49.5%
Sad 49.6%
Happy 49.5%
Calm 49.6%
Angry 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.8%
Sad 49.9%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Happy 49.7%
Disgusted 49.8%
Surprised 49.6%
Calm 49.6%
Confused 49.6%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Sad 49.9%
Happy 49.6%
Calm 49.6%
Disgusted 49.5%
Angry 49.9%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.7%
Calm 49.5%
Sad 50.1%
Confused 49.5%

Feature analysis

Amazon

Person 98.6%

Text analysis

Amazon

Examples
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Adaptation
Education
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Examples of the Adaptation of Education to Special City Needs
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Google

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