Human Generated Data

Title

Social Settlements: United States. Louisiana. New Orleans. Kingsley House: The Kinglsey House, New Orleans, La.: An evening in the library.

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, 3.2002.105.1

Human Generated Data

Title

Social Settlements: United States. Louisiana. New Orleans. Kingsley House: The Kinglsey House, New Orleans, La.: An evening in the library.

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, 3.2002.105.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Restaurant 99.5
Person 99.4
Human 99.4
Furniture 98.5
Chair 98.5
Person 97.9
Person 96
Person 95.8
Cafeteria 95.4
Person 95
Person 94.1
Person 89.3
Indoors 88.2
Room 88.2
Person 87.3
Person 85.3
Person 82.9
Classroom 80
School 80
Person 77.7
Cafe 77.5
Painting 72.4
Art 72.4
Chair 60.8
Food 58.7
Meal 58.7

Clarifai
created on 2019-06-05

people 100
many 99.8
group 99.8
group together 98.7
adult 97
furniture 96.3
leader 95.2
man 94.1
chair 92
military 91.7
several 91.5
administration 91.1
room 89.6
crowd 88.2
woman 86.5
sit 86
recreation 85.3
print 85.3
seat 84.3
home 79.2

Imagga
created on 2019-06-05

room 39.9
interior 28.3
brass 24.5
table 24.3
chair 23.8
musical instrument 23.4
classroom 23.4
house 22.6
wind instrument 21.3
architecture 21.1
city 16.6
hall 16.5
home 15.1
indoors 14.9
people 14.5
building 14.5
window 13.7
bowed stringed instrument 13.7
cornet 13.4
inside 12.9
chairs 12.7
furniture 12.5
stringed instrument 11.9
modern 11.9
restaurant 11.7
comfortable 11.4
floor 11.1
old 11.1
freight car 10.8
design 10.7
luxury 10.3
light 10
car 9.9
tourism 9.9
seat 9.8
decor 9.7
business 9.7
center 9.5
man 9.4
glass 9.3
violin 9.3
wood 9.2
indoor 9.1
history 8.9
style 8.9
empty 8.6
wall 8.5
grunge 8.5
travel 8.4
dinner 8.4
sky 8.3
vintage 8.3
night 8
urban 7.9
scene 7.8
space 7.7
residential 7.6
lamp 7.6
wheeled vehicle 7.6
cityscape 7.6
buildings 7.5
elegance 7.5
device 7.4
life 7.2
family 7.1

Google
created on 2019-06-05

Room 71.4
History 64.5
Art 50.2

Microsoft
created on 2019-06-05

table 95.7
furniture 91.7
clothing 88.8
person 88.3
chair 80.2
people 78.1
old 72.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 51.1%
Angry 48.2%
Sad 46.7%
Calm 46.4%
Surprised 45.5%
Confused 45.4%
Disgusted 46.4%
Happy 46.5%

AWS Rekognition

Age 27-44
Gender Female, 52.5%
Calm 45.3%
Happy 45.1%
Confused 45.1%
Sad 54.4%
Angry 45.1%
Surprised 45%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Female, 52.5%
Sad 52.5%
Happy 45.1%
Surprised 45.2%
Disgusted 45.5%
Confused 45.2%
Calm 46%
Angry 45.4%

AWS Rekognition

Age 17-27
Gender Female, 50.6%
Disgusted 47.9%
Sad 50.8%
Calm 45.4%
Surprised 45.1%
Angry 45.2%
Happy 45.2%
Confused 45.3%

AWS Rekognition

Age 4-9
Gender Female, 53.2%
Disgusted 45.1%
Confused 45.1%
Sad 53.6%
Angry 45.1%
Happy 46%
Surprised 45.1%
Calm 45.2%

AWS Rekognition

Age 35-52
Gender Female, 53.5%
Sad 52.1%
Confused 45.3%
Angry 45.6%
Calm 46.5%
Surprised 45.3%
Happy 45.1%
Disgusted 45.2%

AWS Rekognition

Age 19-36
Gender Female, 53.8%
Happy 45.4%
Sad 49%
Surprised 45.4%
Angry 46.7%
Calm 46.5%
Disgusted 46.6%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Disgusted 49.6%
Angry 49.7%
Sad 49.8%
Happy 49.7%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.2%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Angry 49.6%
Sad 50%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 50.2%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Calm 45.3%
Happy 47.3%
Confused 45.5%
Sad 45.8%
Angry 49.7%
Surprised 45.8%
Disgusted 45.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Angry 49.6%
Disgusted 49.6%
Calm 49.7%
Surprised 49.6%
Happy 49.5%
Sad 49.8%
Confused 49.7%

AWS Rekognition

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

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Surprised 49.5%
Happy 49.5%
Sad 50.4%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.1%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%
Angry 49.5%

Feature analysis

Amazon

Person 99.4%
Chair 98.5%
Painting 72.4%

Text analysis

Amazon

evening
An
librory
An evening in the librory
the
in

Google

An evening in the library
An
evening
in
the
library