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: Public School No.172 Manhattan. Evening Playcentre.
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, 3.2002.1478

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: Public School No.172 Manhattan. Evening Playcentre.

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, 3.2002.1478

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 94.5
People 88.3
Person 80.5
Crowd 80
Person 75.5
Person 75
Person 73.8
Person 65.8
Person 64.2
Person 63
Indoors 63
Person 62.3
Room 62.1
Person 61.7
Poster 59.5
Advertisement 59.5
Text 56.9
Military 56.5
Military Uniform 56.5
Classroom 55.8
School 55.8
Person 53.5
Person 45.4

Clarifai
created on 2019-06-04

people 99.3
group 96.7
adult 96.6
many 94.9
man 92.8
wear 90.3
print 89.7
group together 88.6
woman 84.1
military 84.1
one 82.2
crowd 81.5
cavalry 81.2
art 80
vehicle 77.9
illustration 77.6
lithograph 77.4
home 77.1
vintage 74.6
chair 74.5

Imagga
created on 2019-06-04

freight car 29.7
room 29.4
table 23.4
chair 23.3
car 23.1
wheeled vehicle 21.4
hall 20
interior 19.4
shop 18.8
shoe shop 18
classroom 17.2
travel 16.2
furniture 16
business 15.2
empty 14.6
building 14.5
seat 14.1
restaurant 13.7
vehicle 13.4
city 13.3
architecture 13.3
mercantile establishment 12.4
urban 12.2
glass 12
chairs 11.7
tourism 11.5
group 11.3
structure 11.1
dinner 10.9
coat hanger 10.9
water 10.7
window 10.2
house 10
wood 10
modern 9.8
landscape 9.7
dining 9.5
light 9.3
nobody 9.3
place 9.3
floor 9.3
design 9
people 8.9
tables 8.9
metal 8.8
hanger 8.7
place of business 8.7
crowd 8.6
horizontal 8.4
lake 8.2
center 8.2
decor 8
day 7.8
station 7.8
wall 7.8
luxury 7.7
industry 7.7
old 7.7
hotel 7.6
eat 7.5
outdoors 7.5
row 7.4
event 7.4
equipment 7.4
vacation 7.4
tourist 7.2
support 7.2
transportation 7.2
steel 7.1
work 7.1
sea 7
sky 7

Google
created on 2019-06-04

Photograph 96.1
Text 94.4
Snapshot 86.1
Room 76.5
Photography 62.4
History 54.1
Art 50.2

Microsoft
created on 2019-06-04

indoor 93.9
person 87.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.8%
Sad 49.7%
Calm 49.7%
Angry 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 50.3%
Sad 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Sad 49.6%
Confused 49.6%
Disgusted 49.8%
Happy 49.7%
Angry 49.7%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 49.9%
Confused 49.5%
Angry 49.7%
Happy 49.5%
Calm 49.6%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.9%
Confused 49.5%
Sad 50%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Calm 50%
Confused 49.6%
Sad 49.7%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.1%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Sad 49.5%
Happy 49.8%
Angry 49.6%
Calm 49.9%
Surprised 49.6%
Confused 49.5%
Disgusted 49.6%

Feature analysis

Amazon

Person 80.5%
Poster 59.5%

Categories

Imagga

interior objects 70.7%
pets animals 21.3%
paintings art 3.8%
text visuals 1.5%

Text analysis

Amazon

York
Examples
City
Adaptation
New
Needs
the
Education
New York City Public Schools
Examples of the Adaptation of Education to Special City
of
to
Schools
Special
Evening
Public
Evening Ploycentre
Ploycentre
Monhattan
School
C161
Puble
Puble School N: 172 Monhattan
Ed17.13.6.9
N: 172

Google

New York City Publie Schools Examples of the Adaptation of Education to Special City Needs L8 ELL735 AYC Publie Schoel Ne 172 Monhatfan Evening Ploycentre
New
York
City
Schools
of
Needs
AYC
Publie
172
Ploycentre
Examples
the
Adaptation
Education
to
Special
L8
ELL735
Schoel
Ne
Monhatfan
Evening