Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Schools. Public School No.32 Brooklyn.
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, 3.2002.1461

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Schools. Public School No.32 Brooklyn.

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, 3.2002.1461

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99
Person 99
Person 98.4
Person 98.2
Person 97
Person 96.6
Person 95.7
Person 94.6
Person 94.2
Person 93.2
Person 90.6
Person 89.4
Clinic 89.3
Person 86.8
Room 78.1
Indoors 78.1
Person 76.4
Person 72.7
Horse 71.4
Mammal 71.4
Animal 71.4
People 66.1
Crowd 63.2
Advertisement 61.7
Hospital 60.7
Person 60.2
Jury 58.1
Furniture 58
Person 53.2
Person 46.7
Person 45.5

Clarifai
created on 2019-06-04

people 99.9
group 99.2
many 98.7
adult 97.5
furniture 97.5
room 97
man 96.2
print 96.2
group together 92
woman 91.6
military 91.3
chair 91.3
indoors 89.4
administration 87.8
leader 87.5
child 87.4
education 86.4
several 86.2
wear 85
war 82.6

Imagga
created on 2019-06-04

shop 46.9
barbershop 41.4
mercantile establishment 33.6
old 26.4
place of business 22.4
vintage 21.5
newspaper 21.4
grunge 21.3
web site 20.8
building 18.2
product 17.7
architecture 17.2
antique 15.7
retro 15.6
structure 15.3
house 15
ancient 14.7
history 14.3
creation 14.1
daily 13.6
window 13
wall 12.8
decoration 12.8
aged 12.7
paper 12.5
city 12.5
travel 12
paint 11.8
design 11.2
establishment 11.1
texture 11.1
business 10.9
dirty 10.8
art 10.4
home 10.4
door 10
bakery 9.9
black 9.6
empty 9.4
construction 9.4
space 9.3
street 9.2
frame 9.1
tourism 9.1
bank 9
pattern 8.9
interior 8.8
scene 8.6
obsolete 8.6
exterior 8.3
cash 8.2
brown 8.1
light 8
drawing 8
urban 7.9
salon 7.8
money 7.7
bill 7.6
old fashioned 7.6
finance 7.6
grungy 7.6
blackboard 7.5
style 7.4
letter 7.3
historic 7.3
rough 7.3
material 7.1

Google
created on 2019-06-04

Photograph 96.5
Text 92.2
Snapshot 87.9
Room 81.5
Adaptation 77.3
History 60.4
Art 58.1
Family 52.5
Child 52

Microsoft
created on 2019-06-04

person 95.3
indoor 89.9
furniture 87.3
table 84.7
chair 69.7
clothing 64.5
old 55.9
store 32.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Happy 49.6%
Sad 50.1%
Disgusted 49.5%
Surprised 49.5%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Calm 49.6%
Sad 49.8%
Surprised 49.5%
Confused 49.6%
Angry 49.9%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.7%
Happy 49.5%
Calm 49.7%
Disgusted 49.6%
Angry 49.6%
Surprised 49.7%
Confused 49.7%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.9%
Happy 49.5%
Calm 49.6%
Sad 49.8%
Confused 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.6%
Happy 49.6%
Angry 49.7%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Surprised 49.6%
Angry 49.7%
Calm 49.9%
Confused 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Confused 49.7%
Sad 50.1%
Disgusted 49.5%
Surprised 49.6%
Angry 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.7%
Sad 50.2%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 99%
Horse 71.4%

Text analysis

Amazon

Examples
Needs
New
York
Adaptation
City
the
Public
of
Schools
Examples the Adaptation of Edueation to Special City Needs
to
Special
Toble
Brooklyn
School
New York City Public Schools 3361234.57
Serving
Edueation
Public School N9 32 Brooklyn
Work.
Vacat
Kitchen Work.
Kitchen
Vacat Schools Serving at Toble
N9 32
3361234.57
at

Google

New York City Public Schools Examples of the Adaptation of Education to Special City Needs s-31 pn Kitchen Work Vacation Schools Serving af Table Public School Ne 32 Brooklyn
New
York
City
Public
Schools
Examples
of
the
Adaptation
Education
to
Special
Needs
s-31
pn
Kitchen
Work
Vacation
Serving
af
Table
School
Ne
32
Brooklyn