Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: The boys and girls do all the cooking in their cottages.
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, 3.2002.667.2

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: The boys and girls do all the cooking in their cottages.

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, 3.2002.667.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Human 99.7
Person 99.7
Person 99.6
Person 99.4
Person 98.7
Person 98.4
Person 97.7
Person 97.5
Person 97.3
Bowl 93.8
Person 90.6
Clinic 76.2
Room 68.3
Indoors 68.3
Person 63.4
Meal 60.3
Food 60.3
Restaurant 59.6
Cafeteria 59.6
People 56.5

Clarifai
created on 2019-06-07

people 99.9
group 99.6
group together 99.2
adult 98.8
many 98.7
several 96.5
man 96.2
education 95.9
woman 95.4
furniture 94.5
administration 94
leader 94
five 93.3
room 92.1
desk 90.4
teacher 89.1
school 88.1
chair 87.3
war 86
indoors 85.7

Imagga
created on 2019-06-07

teacher 52
educator 39.5
room 36
professional 35.6
man 32.9
people 32.9
adult 32.4
person 32.2
male 27.2
home 23.1
indoors 21.1
table 20.5
business 20.1
happy 18.2
meeting 17.9
interior 17.7
classroom 17.6
businessman 16.8
lifestyle 16.6
couple 16.6
happiness 16.5
chair 16.2
smiling 15.9
women 15.8
mature 15.8
indoor 15.5
20s 14.7
sitting 14.6
businesswoman 14.5
restaurant 14.4
businesspeople 14.2
cheerful 13
together 12.3
senior 12.2
men 12
two 11.9
drink 11.7
nurse 11.7
team 11.7
hospital 11.6
holding 11.6
working 11.5
desk 11.4
talking 11.4
smile 11.4
modern 11.2
portrait 11
office 11
colleagues 10.7
family 10.7
30s 10.6
work 10.5
standing 10.4
service 10.2
color 10
40s 9.7
two people 9.7
student 9.4
enjoyment 9.4
clinic 9.2
worker 9.2
life 9.1
domestic 9.1
boardroom 8.9
25 29 years 8.9
group 8.9
love 8.7
glass 8.7
four 8.6
food 8.6
adults 8.5
kitchen 8.5
new 8.1
child 8
clothing 8
medical 7.9
discussing 7.9
dinner 7.8
discussion 7.8
having 7.8
casual 7.6
furniture 7.6
enjoying 7.6
eating 7.6
eat 7.6
horizontal 7.5
house 7.5
joy 7.5
alcohol 7.4
emotion 7.4
friendly 7.3
cup 7.2
employee 7.2
shop 7.2
celebration 7.2
holiday 7.2
pretty 7

Google
created on 2019-06-07

Room 80.8
Table 58.6
Class 51.8

Microsoft
created on 2019-06-07

person 99.9
table 99.4
indoor 98.2
clothing 98
group 95.5
man 93.7
food 89.9
people 86
fast food 79.8
human face 53.5
restaurant 16.2
dining table 11.9
dining room 6.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 6-13
Gender Male, 86.7%
Confused 7.6%
Calm 12.6%
Happy 1.3%
Disgusted 2.8%
Sad 71%
Angry 3.2%
Surprised 1.4%

AWS Rekognition

Age 45-63
Gender Male, 51.9%
Angry 45.7%
Calm 46.9%
Sad 50.7%
Confused 45.3%
Disgusted 45.7%
Surprised 45.3%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Male, 51.3%
Surprised 45.3%
Angry 45.3%
Confused 45.2%
Sad 45.7%
Calm 52.5%
Disgusted 45.3%
Happy 45.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 50%
Calm 48%
Angry 46%
Disgusted 45.4%
Confused 45.2%
Surprised 45.3%
Happy 45.2%

AWS Rekognition

Age 26-44
Gender Female, 52.3%
Confused 45.1%
Sad 53.1%
Happy 45.1%
Disgusted 45.2%
Surprised 45.2%
Angry 45.5%
Calm 45.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 45.7%
Calm 50.6%
Disgusted 46.6%
Confused 45.3%
Surprised 45.5%
Happy 46%
Angry 45.3%

AWS Rekognition

Age 16-27
Gender Female, 53.4%
Happy 45.2%
Disgusted 45.3%
Sad 47.6%
Angry 45.4%
Confused 45.4%
Calm 50.6%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Male, 52.3%
Disgusted 47.6%
Confused 46.2%
Surprised 45.9%
Calm 46.7%
Happy 45.3%
Angry 46.2%
Sad 47.1%

Feature analysis

Amazon

Person 99.7%

Categories

Imagga

interior objects 99.9%