Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro: Hampton Normal and Agricultural Institute, Hampton, Va.
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, 3.2002.116

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro: Hampton Normal and Agricultural Institute, Hampton, Va.

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, 3.2002.116

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Indoors 98.5
Interior Design 98.5
Human 96.6
Person 96.6
Person 96.2
Person 92.7
Person 91.7
Restaurant 91.4
Person 88.2
Person 87.8
Room 87.1
Crowd 86.2
Person 83.5
Person 82.3
Person 78.9
Person 77.5
Person 76.8
Person 71.8
Cafeteria 71.6
Person 66.9
Cafe 66.3
Audience 63.8
Person 63
Theater 58.1
Furniture 57
Chair 57
School 56.7
Classroom 56.7
Food 56.5
Meal 56.5
Person 53.1

Clarifai
created on 2019-06-05

people 99.5
many 98.3
group 96.3
chair 96.2
furniture 95.5
indoors 95
administration 94.5
man 93
adult 92.8
room 92.6
no person 91.1
group together 90.1
leader 88.7
military 87.6
vehicle 87.4
home 87
seat 83.6
war 83.3
exhibition 79.1
desk 78.1

Imagga
created on 2019-06-05

blackboard 48.6
classroom 23.9
room 23.7
building 21.1
structure 17.4
old 16.7
architecture 15.6
balcony 14.6
interior 14.1
grunge 13.6
shop 13.4
house 13.4
business 13.4
window 13.3
design 12.9
decoration 12.3
wall 12
home 12
modern 11.9
city 10.8
vintage 10.7
travel 10.6
construction 10.3
space 10.1
people 10
light 10
retro 9.8
antique 9.5
ancient 9.5
art 9.3
dirty 9
transportation 9
paper 8.8
mercantile establishment 8.7
drawing 8.6
finance 8.4
office 8.3
snow 8.2
history 8
glass 7.9
urban 7.9
shoe shop 7.9
male 7.8
pattern 7.5
sign 7.5
frame 7.5
silhouette 7.4
tourism 7.4
street 7.4
indoor 7.3
black 7.2
bank 7.2

Google
created on 2019-06-05

Photograph 96
Text 89.7
Snapshot 84.7
Room 74.4
History 60.4
Collection 54
Illustration 50.4
Art 50.2

Microsoft
created on 2019-06-05

indoor 89.9
person 83.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Sad 49.6%
Calm 50%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.6%
Angry 49.6%
Happy 49.6%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.6%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%
Sad 49.8%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 6-13
Gender Female, 50%
Calm 49.5%
Angry 49.9%
Sad 49.7%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Happy 49.5%
Calm 49.6%
Sad 50%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Disgusted 49.7%
Sad 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.7%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 49.7%
Sad 49.6%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Calm 49.9%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Calm 49.5%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Angry 49.8%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 50%
Confused 49.6%
Calm 49.6%
Angry 49.7%
Happy 49.6%
Sad 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.6%
Sad 50.2%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 45-65
Gender Female, 50.2%
Sad 50.1%
Calm 49.7%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Calm 50.1%
Angry 49.6%
Happy 49.5%
Confused 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.5%
Confused 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Calm 49.5%
Sad 50%
Disgusted 49.7%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Surprised 49.6%
Confused 49.6%
Sad 49.8%
Disgusted 49.9%
Happy 49.7%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 4-7
Gender Male, 50.2%
Sad 49.7%
Disgusted 49.8%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Calm 49.6%
Confused 49.6%
Sad 49.7%
Surprised 49.6%
Happy 49.7%
Disgusted 49.6%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%
Sad 49.6%
Calm 50.2%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Angry 49.6%
Sad 49.8%
Calm 49.7%
Surprised 49.6%
Confused 49.5%
Disgusted 49.8%
Happy 49.6%

AWS Rekognition

Age 4-7
Gender Male, 50.5%
Calm 50.2%
Sad 49.7%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Surprised 49.5%
Sad 50.2%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.7%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Surprised 49.6%
Disgusted 49.5%
Calm 49.9%
Confused 49.6%
Angry 49.6%
Sad 49.8%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 50%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.7%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Happy 49.6%
Angry 49.7%
Calm 49.6%
Confused 49.5%
Disgusted 49.7%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 60-90
Gender Female, 50.2%
Sad 50.1%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.8%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50.4%
Angry 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.6%
Sad 49.7%
Happy 49.7%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Calm 49.7%
Sad 49.6%
Angry 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 49.8%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Sad 49.6%
Happy 49.7%
Surprised 49.6%
Disgusted 49.5%
Calm 49.9%
Angry 49.6%

Feature analysis

Amazon

Person 96.6%
Chair 57%

Text analysis

Amazon

Hampton
Normal
and
Senior
Negro
Va.
Hampton,
Promoting
Drowing
Hampton Normal and Agrieult ural Hampton,
of the
ural
Class
Institute.
similation
Ageneies
Senior MusiC Closs. Class in Drowing
Agrieult
Closs.
Ageneies Promoting Ant similation of the Negro
in
MusiC
Ant
ARI10

Google

Agencies Promoting As imilation of the Negro ural Institnte, Hampton, Va. Hampton Normal and Agricult VIRCINIA Class in Drawing Senior Music Class.
Agencies
Promoting
As
imilation
of
the
Negro
ural
Institnte,
Hampton,
Va.
Hampton
Normal
and
Agricult
VIRCINIA
Class
in
Drawing
Senior
Music
Class.