Human Generated Data

Title

Social Settlements: United States. Virginia. Hampton. Locust Street Settlement: Agencies Promoting Assimilation of the Negro. Training Negro Girls in Domestic Science. Locust Street Settlement, Hampton, Va.: Sewing Class.
Date

c. 1903
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, 3.2002.422.2

Human Generated Data

Title

Social Settlements: United States. Virginia. Hampton. Locust Street Settlement: Agencies Promoting Assimilation of the Negro. Training Negro Girls in Domestic Science. Locust Street Settlement, Hampton, Va.: Sewing Class.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.422.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.6
Person 98.6
Person 98.5
Person 97.3
Person 96.8
Person 94
Person 93.8
Person 93.4
Person 92.9
Person 92.7
Person 90.4
Person 88.2
People 81.1
Building 79.1
Housing 79.1
Person 73.8
Porch 73.4
Person 71
School 65.3
Room 64.8
Indoors 64.8
Person 62.9
House 57.7
Villa 57.7
Clinic 57.2
Outdoors 56.8
Person 55.9

Clarifai
created on 2019-06-05

people 100
group 99.5
group together 99.3
many 98
several 97.3
furniture 97.2
adult 95.8
leader 95.4
administration 94.4
chair 91.5
room 91.2
man 90.3
woman 89.8
child 87.6
five 86.7
four 84.7
sit 84.6
wear 83.6
uniform 82
outfit 81.5

Imagga
created on 2019-06-05

kin 36.4
man 30.2
couple 27
male 26.2
people 24
person 23
adult 20.7
sitting 18.9
smiling 18.1
happy 17.5
women 15.8
room 15.8
happiness 15.7
indoors 14.9
portrait 14.9
men 14.6
two 14.4
home 14.3
teacher 14.3
businessman 14.1
grandfather 13.7
love 13.4
business 13.4
musical instrument 13
scholar 12.8
bride 12.5
family 12.4
lifestyle 12.3
together 12.3
smile 11.4
life 11.3
computer 11.2
attractive 11.2
wedding 11
day 11
handsome 10.7
married 10.5
senior 10.3
intellectual 10.3
classroom 10.1
barbershop 9.9
modern 9.8
cheerful 9.7
old 9.7
mother 9.7
professional 9.2
holding 9.1
groom 9
father 9
group 8.9
casual clothing 8.8
education 8.6
shop 8.6
youth 8.5
casual 8.5
outdoor 8.4
communication 8.4
mature 8.4
park 8.2
playing 8.2
girls 8.2
laptop 8.2
office 8.1
chair 8.1
romantic 8
to 8
educator 7.8
living room 7.8
black 7.8
30s 7.7
child 7.7
elderly 7.7
husband 7.6
bouquet 7.5
fashion 7.5
school 7.5
stringed instrument 7.5
camera 7.4
lady 7.3
children 7.3
new 7.3
interior 7.1
working 7.1
wind instrument 7.1

Google
created on 2019-06-05

Photograph 96.9
Snapshot 87.6
Room 78
Photography 62.4
Family 60.5
History 60.4
Table 58.6
Classic 56.7

Microsoft
created on 2019-06-05

building 99.3
person 95.8
outdoor 85.7
clothing 78.3
people 67.1
photograph 62.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Sad 50.1%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.8%
Calm 49.5%
Sad 50.1%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 50.1%
Surprised 49.5%
Confused 49.5%
Sad 49.7%
Angry 49.6%
Disgusted 49.5%
Happy 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Surprised 49.5%
Happy 49.8%
Calm 49.9%
Disgusted 49.6%
Confused 49.5%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 50.2%
Happy 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Sad 50.4%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Sad 50.3%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.5%
Sad 50%
Angry 49.7%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Surprised 49.5%
Happy 49.6%
Sad 49.6%
Angry 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 50.1%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 9-14
Gender Male, 50.1%
Angry 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.6%
Calm 50.3%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Happy 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 50.1%
Calm 49.5%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 23-38
Gender Female, 54.2%
Disgusted 45.2%
Confused 45.6%
Happy 50.3%
Sad 47.4%
Surprised 45.5%
Calm 45.6%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.6%
Happy 49.5%
Calm 49.8%
Surprised 49.5%
Sad 49.9%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 49.7%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.9%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Confused 49.7%
Angry 49.5%
Disgusted 49.5%
Calm 49.6%
Happy 49.8%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Happy 49.5%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Calm 49.8%
Angry 49.5%
Sad 49.9%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Surprised 49.7%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.8%
Disgusted 49.6%
Confused 49.6%

Feature analysis

Amazon

Person 98.6%

Text analysis

Amazon

sas
Cless.
3WING Cless.
3WING

Google

Sewing Class.
Sewing
Class.