Human Generated Data

Title

Untitled (two children on hospital beds)

Date

c. 1950

People

Artist: Jack Gould, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15569

Human Generated Data

Title

Untitled (two children on hospital beds)

People

Artist: Jack Gould, American

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15569

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Furniture 99.3
Wheel 99.2
Machine 99.2
Couch 96.3
Person 96.3
Human 96.3
Person 68.1
Vehicle 59.9
Transportation 59.9
Chair 59.1

Clarifai
created on 2023-10-28

people 99.9
wheelchair 99.4
chair 99.3
hospital 98.6
carriage 98.3
two 98.2
monochrome 98.2
adult 98.1
room 97.5
man 97.3
seat 96.6
furniture 96.1
woman 96.1
vehicle 94.9
dog 94.7
canine 94.3
patient 94.2
one 93.1
elderly 93.1
sit 92.7

Imagga
created on 2022-02-05

newspaper 65.3
product 52.8
creation 41
chair 19.5
business 17.6
architecture 17.2
furniture 17.1
wall 16.2
working 15.9
television 15.8
window 15.7
home 15.1
house 15
table 14.3
interior 14.1
man 14.1
drawing 14.1
building 13.8
office 13.8
room 13.5
businessman 13.2
computer 13
black 12.6
modern 12.6
people 12.3
laptop 12.2
work 12.1
construction 11.1
person 11.1
structure 10.9
seat 10.5
sketch 10.5
technology 10.4
men 10.3
indoor 10
travel 9.9
balcony 9.7
urban 9.6
design 9.6
sitting 9.4
male 9.2
indoors 8.8
apartment 8.6
residential 8.6
equipment 8.4
sky 8.3
telecommunication system 8.2
job 8
adult 7.9
glass 7.8
monitor 7.8
comfortable 7.6
living 7.6
city 7.5
transport 7.3
lifestyle 7.2
transportation 7.2
idea 7.1
day 7.1

Google
created on 2022-02-05

Microsoft
created on 2022-02-05

indoor 96.9
text 92.1
black and white 82.8
sketch 80.5
drawing 69.4
furniture 51.9
cluttered 16.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 21-29
Gender Male, 51.6%
Calm 54.2%
Confused 20.2%
Sad 16.3%
Angry 4.2%
Surprised 2%
Happy 1.8%
Disgusted 1%
Fear 0.3%

Feature analysis

Amazon

Wheel
Person
Wheel 99.2%
Person 96.3%
Person 68.1%

Text analysis

Amazon

I