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.: Class in Drawing.
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, 3.2002.116.2

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.: Class in Drawing.

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, 3.2002.116.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99
Human 99
Person 98.5
Person 98.4
Person 98.1
Chair 97.9
Furniture 97.9
Person 97.9
Person 97.5
Person 97.5
Person 96.5
Person 95.2
Person 93.8
Restaurant 81.1
Cafeteria 78.6
Chair 77.2
Bicycle 74.6
Transportation 74.6
Bike 74.6
Vehicle 74.6
Room 63.9
Indoors 63.9
School 59.2
Classroom 59.2

Clarifai
created on 2019-06-05

people 100
many 99.3
group 99.1
group together 98
administration 97.7
leader 97.6
adult 96.9
furniture 96.2
chair 94
several 93.9
man 93.8
education 89.3
military 88.2
room 86.9
woman 85
teacher 83.4
desk 81.8
war 81.7
sit 80.6
school 80.1

Imagga
created on 2019-06-05

room 100
classroom 95.1
chair 56.1
table 55.8
interior 41.6
sketch 40.1
restaurant 30.2
drawing 30
furniture 29.8
hall 28.6
chairs 25.5
representation 24.2
house 24.2
dining 22.8
floor 21.4
seat 21
inside 20.2
home 19.9
decor 19.4
glass 19.4
window 19.4
wood 19.2
modern 18.9
dinner 18.5
indoors 17.6
building 17
design 16.3
empty 16.3
tables 14.8
wall 14.7
indoor 14.6
style 14.1
architecture 14.1
luxury 13.7
cafeteria 13.5
comfortable 13.4
residential 12.4
urban 12.2
business 12.1
structure 12
contemporary 11.3
lunch 11.1
day 11
relaxation 10.9
food 10.9
decoration 10.8
light 10.7
meal 10.5
hotel 10.5
plant 10.4
office 10.4
eat 10.1
people 10
drink 10
setting 9.6
lamp 9.5
sitting 9.4
elegant 9.4
meeting 9.4
lifestyle 9.4
nobody 9.3
city 9.1
outdoors 9
wooden 8.8
apartment 8.6
living 8.5
elegance 8.4
coffee 8.3
event 8.3
kitchen 8
catering 7.8
napkin 7.8
conference 7.8
scene 7.8
class 7.7
outdoor 7.6
place 7.4
bar 7.4
wine 7.4
man 7.4
domestic 7.2
stylish 7.2
sunlight 7.1

Google
created on 2019-06-05

Room 74.4
Classroom 72.3
Art 58.1
History 57.6
Furniture 53.3
Class 50.8

Microsoft
created on 2019-06-05

person 97.5
floor 94.4
clothing 92.6
indoor 90.3
man 84.8
furniture 76.3
black 70.7
group 65.9
chair 63.2
table 61.5
working 50.1
old 48.2
restaurant 15.1
several 12.7
dining table 8.6

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Calm 48.2%
Angry 46%
Sad 49%
Confused 45.6%
Surprised 45.3%
Happy 45.4%
Disgusted 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Disgusted 48.7%
Happy 45.2%
Surprised 45.2%
Calm 49.2%
Angry 45.5%
Confused 45.3%
Sad 46%

AWS Rekognition

Age 38-59
Gender Male, 52.5%
Calm 47.8%
Disgusted 45.7%
Happy 45.5%
Surprised 45.4%
Sad 49.5%
Angry 45.7%
Confused 45.4%

AWS Rekognition

Age 27-44
Gender Female, 52.3%
Confused 45.3%
Angry 45.6%
Disgusted 45.3%
Surprised 45.5%
Sad 49.3%
Calm 48.6%
Happy 45.5%

AWS Rekognition

Age 26-44
Gender Male, 52%
Surprised 45%
Angry 46.8%
Disgusted 45.1%
Happy 45%
Calm 45%
Sad 53%
Confused 45.1%

AWS Rekognition

Age 4-9
Gender Female, 52.7%
Calm 48.2%
Disgusted 46.8%
Sad 45.6%
Happy 45.6%
Confused 45.3%
Surprised 45.7%
Angry 47.7%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Calm 49.8%
Happy 47.8%
Angry 45.7%
Disgusted 45.3%
Surprised 45.4%
Confused 45.2%
Sad 45.8%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 45.7%
Sad 47.2%
Disgusted 47.5%
Angry 45.8%
Surprised 45.8%
Calm 47.4%
Confused 45.5%

AWS Rekognition

Age 20-38
Gender Male, 51.8%
Disgusted 48.2%
Confused 45.7%
Surprised 45.6%
Calm 45.7%
Happy 47.1%
Angry 46.6%
Sad 46.2%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99%
Chair 97.9%
Bicycle 74.6%