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: Fret Sawing.
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, 3.2002.1457.2

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: Fret Sawing.

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, 3.2002.1457.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Classroom 99.6
Indoors 99.6
Room 99.6
School 99.6
Human 99.6
Person 99.6
Person 99.4
Person 99.3
Person 99.2
Person 99.2
Person 99.2
Person 99
Person 96.5
Person 96
Person 93.5
Person 93.1
Person 93.1
Person 87.7
Person 80.6
Building 74.6
Person 71.2
Person 64.2

Clarifai
created on 2019-06-04

people 99.9
group 99.8
many 99.3
group together 98.7
child 97.3
woman 96.4
adult 96.3
education 96.3
man 95.2
administration 94.2
school 93.6
indoors 93.5
room 91.9
wear 89.2
several 88.8
war 87.6
music 86.9
leader 86.7
sit 84.6
boy 83

Imagga
created on 2019-06-04

musical instrument 50.5
stringed instrument 45.8
brass 27.3
room 24.4
wind instrument 22.6
people 21.7
classroom 21.5
old 19.5
man 18.1
device 17.7
male 15.6
men 15.4
person 15.4
couple 14.8
statue 13.3
historic 12.8
history 12.5
family 12.4
monument 12.1
home 11.9
banjo 11.9
religion 11.6
building 11.4
art 11.2
architecture 10.9
indoors 10.5
new 10.5
women 10.3
culture 10.2
city 10
dress 9.9
sculpture 9.9
adult 9.9
chair 9.8
interior 9.7
decoration 9.4
happiness 9.4
happy 9.4
teacher 9.4
nurse 8.8
love 8.7
god 8.6
historical 8.5
tradition 8.3
fashion 8.3
inside 8.3
vintage 8.3
student 8.3
cornet 8.2
trombone 8.1
group 8
worker 8
antique 7.9
scene 7.8
ancient 7.8
travel 7.7
sitting 7.7
bride 7.7
elegance 7.5
senior 7.5
religious 7.5
tourism 7.4
holiday 7.2
portrait 7.1

Google
created on 2019-06-04

Photograph 95.1
Snapshot 83.9
Room 65.7

Microsoft
created on 2019-06-04

indoor 93
clothing 92.9
person 90.7
posing 81.5
standing 80.3
old 80.3
group 73.2
clothes 20.5

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Confused 45.2%
Angry 45.6%
Calm 47.5%
Disgusted 46%
Sad 50%
Happy 45.4%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Male, 52.9%
Confused 45.1%
Angry 51.6%
Happy 45%
Sad 48%
Disgusted 45.1%
Surprised 45%
Calm 45.2%

AWS Rekognition

Age 14-25
Gender Male, 54.2%
Angry 47.3%
Calm 49.3%
Confused 46%
Disgusted 45.2%
Happy 45.1%
Sad 46.9%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Surprised 45.1%
Confused 45.2%
Happy 45.1%
Angry 45.3%
Disgusted 45.3%
Sad 53.1%
Calm 45.9%

AWS Rekognition

Age 20-38
Gender Female, 52.9%
Confused 45.1%
Surprised 45%
Happy 45.1%
Disgusted 45.1%
Calm 45.2%
Sad 54.4%
Angry 45.1%

AWS Rekognition

Age 19-36
Gender Female, 54.2%
Surprised 45.2%
Disgusted 45.2%
Angry 45.4%
Calm 46.4%
Sad 52.5%
Happy 45.1%
Confused 45.2%

AWS Rekognition

Age 15-25
Gender Female, 51.6%
Happy 45.2%
Disgusted 45%
Surprised 45%
Sad 54.5%
Confused 45%
Angry 45.1%
Calm 45.2%

AWS Rekognition

Age 23-38
Gender Female, 53.4%
Angry 45.5%
Surprised 45.2%
Disgusted 45.4%
Happy 45.6%
Sad 51.3%
Confused 45.2%
Calm 46.7%

AWS Rekognition

Age 14-25
Gender Male, 52.3%
Surprised 45.2%
Angry 45.6%
Happy 45.3%
Sad 52.8%
Calm 45.8%
Confused 45.2%
Disgusted 45.1%

AWS Rekognition

Age 16-27
Gender Female, 51.7%
Calm 46.5%
Confused 45.1%
Happy 45.5%
Sad 52.6%
Surprised 45.1%
Disgusted 45.1%
Angry 45.2%

AWS Rekognition

Age 4-9
Gender Male, 52.6%
Disgusted 45.6%
Surprised 45.3%
Confused 45.4%
Sad 51.2%
Calm 45.9%
Angry 46.3%
Happy 45.4%

AWS Rekognition

Age 10-15
Gender Male, 50.5%
Sad 48.3%
Confused 45.7%
Angry 48.6%
Happy 45.1%
Calm 46.7%
Surprised 45.5%
Disgusted 45.2%

AWS Rekognition

Age 29-45
Gender Male, 54%
Angry 45.3%
Surprised 45.4%
Calm 51%
Sad 47.4%
Happy 45.4%
Disgusted 45.4%
Confused 45.2%

AWS Rekognition

Age 9-14
Gender Male, 53.6%
Disgusted 46.4%
Happy 45.5%
Calm 47.5%
Angry 45.8%
Confused 45.4%
Sad 49.1%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 51.2%
Angry 48.1%
Calm 47.6%
Confused 45.2%
Disgusted 45.5%
Happy 45.1%
Sad 48.1%
Surprised 45.3%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Happy 49.6%
Angry 49.8%
Confused 49.6%
Disgusted 49.5%
Sad 50%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Surprised 49.6%
Confused 49.5%
Disgusted 49.8%
Sad 49.8%
Happy 49.6%
Calm 49.7%
Angry 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.3%
Confused 49.5%
Disgusted 49.5%
Sad 49.8%
Surprised 49.5%
Calm 49.9%
Happy 49.5%
Angry 49.7%

Microsoft Cognitive Services

Age 23
Gender Male

Microsoft Cognitive Services

Age 19
Gender Female

Feature analysis

Amazon

Person 99.6%

Text analysis

Amazon

Auust
P.S
C8
2945.
BROOKLYN.
P.S .32 BROOKLYN.
Auust 13T2 1903. 2945.
.32
1903.
-SCHooLs
13T2

Google

C8 2945 AugusT 13 1002
C8
2945
AugusT
13
1002