Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Elementary Carpentry and Cabinet Making.
Date

1899-1900
People

Artist: Frances Benjamin Johnston, American 1864 - 1952
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2442.2

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Elementary Carpentry and Cabinet Making.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2442.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 98.9
Person 98.9
Person 98.9
Person 98.7
Person 98.3
Person 98
Person 97.5
Person 97
Person 96.9
Person 93.7
Building 90
Restaurant 87.5
Cafeteria 80.3
Person 76.3
Factory 72.9
Person 66.9
Person 61.6
Person 61.4
Housing 58
Workshop 57.7
Assembly Line 56.1
Worker 55.6
Lab 55.4

Clarifai
created on 2019-06-04

people 100
group 99.6
group together 99.4
many 99.1
adult 98.7
man 96.7
furniture 96.5
several 95.9
woman 93.9
administration 92.4
child 90.8
wear 89.8
education 88.5
four 87.7
leader 87.5
five 86.3
employee 82.3
two 81.2
room 80.7
military 79.2

Imagga
created on 2019-06-04

marimba 100
percussion instrument 100
musical instrument 100
man 24.8
people 20.1
male 18.4
room 18.3
vibraphone 17.8
interior 17.7
table 15.6
old 15.3
sitting 14.6
classroom 13.9
person 12.5
adult 12.5
chair 12.3
smiling 12.3
indoors 12.3
men 12
family 11.6
cheerful 11.4
education 11.2
restaurant 11.2
women 11.1
lifestyle 10.8
school 10.8
device 10.7
business 10.3
holding 9.9
kitchen 9.8
couple 9.6
home 9.6
ancient 9.5
glass 9.3
vintage 9.1
group 8.9
teacher 8.6
happiness 8.6
enjoyment 8.4
house 8.4
tradition 8.3
student 8.3
happy 8.1
boy 7.8
decoration 7.2
black 7.2
day 7.1
architecture 7

Google
created on 2019-06-04

History 54.1
Factory 51.2

Microsoft
created on 2019-06-04

table 96.1
clothing 91.8
furniture 91.7
person 89.8
black 78.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.7%
Angry 45.4%
Happy 45.3%
Sad 46.5%
Disgusted 46.3%
Surprised 45.3%
Calm 50.5%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Surprised 45%
Calm 45.5%
Happy 45%
Sad 47.5%
Angry 51.2%
Confused 45.2%
Disgusted 45.5%

AWS Rekognition

Age 26-43
Gender Male, 51.2%
Surprised 45.4%
Sad 47.7%
Happy 46%
Disgusted 46%
Confused 45.5%
Calm 47.9%
Angry 46.4%

AWS Rekognition

Age 16-27
Gender Female, 51.6%
Calm 48.8%
Happy 45.1%
Surprised 45.2%
Sad 49.3%
Angry 45.5%
Disgusted 45.9%
Confused 45.3%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Disgusted 45.1%
Happy 45%
Sad 53.3%
Angry 45.1%
Calm 46.2%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 14-25
Gender Female, 54.4%
Sad 49.6%
Disgusted 46.1%
Surprised 45.6%
Happy 45.5%
Confused 45.2%
Angry 46.7%
Calm 46.3%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.3%
Angry 49.5%
Calm 49.7%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Angry 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Calm 49.8%
Sad 50%
Confused 49.6%

Feature analysis

Amazon

Person 98.9%

Text analysis

Amazon

rrnanranntunnne

Google

11 12
11
12