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.: Serving at Table.

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, 3.2002.1461.2

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.: Serving at Table.

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, 3.2002.1461.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 98.9
Person 98.9
Chair 98.8
Furniture 98.8
Person 98.2
Chair 97.7
Person 96.6
Person 96.5
Person 94.9
Chair 93.9
Person 92.7
Tablecloth 90.7
Dining Table 87.1
Table 87.1
Restaurant 85.6
Person 78.1
Food 77.2
Food Court 77.2
Person 75.3
Clinic 72.1
Person 70.7
Person 68.8
Room 59.1
Indoors 59.1
Reception 57.3
Waiting Room 56.1
Reception Room 56.1
Person 42.9
Person 42.8

Clarifai
created on 2019-06-04

people 100
group 99.3
group together 98.6
many 98.2
adult 97.8
woman 96.2
administration 95.4
wear 94.9
several 94.2
furniture 93.4
leader 93
man 93
military 88.4
room 87.4
five 86.6
education 86.3
chair 84
medical practitioner 82.5
child 79.7
four 79.5

Imagga
created on 2019-06-04

brass 65.7
musical instrument 53.3
wind instrument 52.8
chair 37.7
room 36.3
interior 36.2
table 29.4
restaurant 23.5
classroom 21.3
indoors 19.3
floor 17.6
modern 16.8
home 16.7
house 16.7
chairs 16.6
furniture 16.5
people 16.2
wood 15.8
inside 15.6
glass 14.8
man 14.8
percussion instrument 14.6
style 13.3
design 12.9
male 12.8
drink 12.5
urban 12.2
seat 12.2
sitting 12
tables 11.8
cafeteria 11.8
dinner 11.8
building 11.7
city 11.6
lifestyle 11.6
decor 11.5
food 11.5
dining 11.4
women 11.1
stringed instrument 11
window 11
indoor 10.9
architecture 10.9
hall 10.9
coffee 10.2
decoration 10.1
cornet 9.9
stool 9.9
group 9.7
adult 9.7
office 9.6
couple 9.6
teacher 9.5
empty 9.4
lunch 9.4
trombone 9.3
person 9.2
communication 9.2
business 9.1
bowed stringed instrument 8.9
marimba 8.8
comfortable 8.6
men 8.6
wall 8.5
contemporary 8.5
eat 8.4
life 8.2
kitchen 8.1
family 8
boy 7.8
culture 7.7
old 7.7
relax 7.6
elegance 7.5
plant 7.5
light 7.3
book 7.3
meal 7.3
device 7.2
counter 7
student 7

Google
created on 2019-06-04

Microsoft
created on 2019-06-04

furniture 95.5
table 94.9
chair 94.4
clothing 94.1
white 88.3
person 87.9
woman 85.2
black 84.8
old 73.9
group 69
room 52.5
vintage 37.5
clothes 16.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Sad 45.5%
Disgusted 45.2%
Surprised 45.2%
Angry 45.4%
Happy 45.1%
Calm 53.3%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Male, 53.7%
Angry 48.1%
Sad 45.9%
Happy 45%
Confused 45.2%
Calm 50.6%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Female, 53.6%
Happy 45%
Angry 46.1%
Calm 45.3%
Disgusted 45.1%
Sad 53.1%
Confused 45.3%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Sad 45.8%
Confused 45.4%
Angry 50.7%
Surprised 45.2%
Disgusted 45.3%
Happy 45.1%
Calm 47.4%

AWS Rekognition

Age 14-25
Gender Male, 53.7%
Calm 52.2%
Happy 45.7%
Sad 46.2%
Surprised 45.2%
Disgusted 45.1%
Angry 45.5%
Confused 45.2%

AWS Rekognition

Age 6-13
Gender Male, 51.1%
Happy 46.5%
Surprised 45.5%
Calm 46.5%
Confused 46%
Disgusted 46.8%
Angry 47.1%
Sad 46.8%

AWS Rekognition

Age 17-27
Gender Female, 50.9%
Disgusted 45.3%
Calm 50.8%
Happy 45.7%
Angry 45.5%
Sad 47.3%
Confused 45.3%
Surprised 45.2%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Sad 54.7%
Happy 45%
Calm 45.1%
Surprised 45%
Angry 45.2%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Happy 47.6%
Angry 46.9%
Sad 46.9%
Disgusted 47.2%
Confused 45.6%
Calm 45.5%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 50%
Happy 49.6%
Disgusted 50.2%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Angry 49.6%
Calm 49.5%

Feature analysis

Amazon

Person 98.9%
Chair 98.8%

Categories

Text analysis

Amazon

ACATION
.BROOKLYN
Audust
P.S.32 R.S .BROOKLYN
P.S.32
R.S
7

Google

C 37 P.S.3%.BROOKLYN NACATION-SCHOOLS. 042 Audust 13) 190
C
37
P.S.3%.BROOKLYN
NACATION-SCHOOLS.
042
Audust
13)
190