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.: Class in Economics.
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, 3.2002.464.2

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.: Class in Economics.

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, 3.2002.464.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Room 99.7
Indoors 99.7
Classroom 99.7
School 99.7
Chair 99.3
Furniture 99.3
Human 98.9
Person 98.9
Chair 98.6
Person 98.4
Chair 98.3
Person 98
Person 97.5
Person 96
Person 95.7
Person 94.5
Person 92.8
Person 92.1
Person 91.3
Person 86.3
Chair 84.4

Clarifai
created on 2019-06-05

people 99.7
group 97.5
many 97
adult 96.1
man 94.6
chair 94.5
administration 94.2
furniture 94.2
room 91.9
group together 90.4
woman 88.9
military 87.9
several 87.1
education 86.9
war 86.5
leader 83.4
indoors 81.3
sit 80.7
wear 77.1
teacher 73.9

Imagga
created on 2019-06-05

room 100
classroom 100
chair 45
table 38.3
interior 33.6
furniture 22.9
chairs 19.6
house 19.2
floor 18.6
wood 17.5
inside 17.5
seat 17.4
restaurant 17.1
modern 16.1
empty 15.5
home 15.1
glass 14
people 13.4
dining 13.3
indoors 13.2
urban 13.1
design 12.9
sitting 12.9
male 12.8
building 12.7
decor 12.4
architecture 11.7
cafeteria 11.6
kitchen 11.6
teacher 11.3
day 11
indoor 10.9
city 10.8
plant 10.4
school 10.4
musical instrument 10.3
man 10.1
light 10
tables 9.8
outdoors 9.7
summer 9.6
style 9.6
outdoor 9.2
window 9.2
stool 8.9
sun 8.9
scene 8.7
percussion instrument 8.5
business 8.5
food 8.5
travel 8.4
dinner 8.4
relax 8.4
relaxation 8.4
drink 8.4
person 8
boy 7.8
students 7.8
education 7.8
class 7.7
residential 7.7
structure 7.6
learning 7.5
student 7.4
hall 7.3
group 7.3
office 7.2
lifestyle 7.2
work 7.2
sunlight 7.1

Google
created on 2019-06-05

Snapshot 83.6
Room 76.5
Adaptation 74.1
History 62.6
Classroom 61.9
Art 58.1

Microsoft
created on 2019-06-05

furniture 99.1
table 98.6
person 97.8
chair 96.3
clothing 96.2
man 83.2
old 72.4
group 55.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Sad 50.3%
Angry 49.6%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.8%
Surprised 45.6%
Angry 45.7%
Sad 46.7%
Happy 46.7%
Disgusted 45.5%
Calm 49.3%
Confused 45.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.5%
Sad 50.2%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Surprised 49.6%
Sad 49.9%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%
Calm 49.8%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Confused 49.6%
Sad 49.7%
Disgusted 49.7%
Angry 49.6%
Happy 49.8%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.6%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Sad 49.8%
Happy 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.9%
Angry 49.6%
Sad 49.6%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Calm 50.2%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Sad 49.6%
Calm 49.7%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 50%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Calm 50.3%
Angry 49.5%
Sad 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Chair 99.3%
Person 98.9%

Text analysis

Amazon

in
Economics.
Closs in Economics.
18
Closs

Google

20utetiedc Class in Economics.
20utetiedc
Class
in
Economics.