Human Generated Data

Title

Untitled (two children in crib)
Date

c. 1950
People

Artist: Lucian and Mary Brown, American

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.17176

Human Generated Data

Title

Untitled (two children in crib)

People

Artist: Lucian and Mary Brown, American

Date

c. 1950

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-26

Furniture 99.9
Human 95
Person 95
Person 90
Room 85.4
Indoors 85.4
Crib 79.3
Railing 57.3

Imagga
created on 2022-02-26

percussion instrument 100
musical instrument 84.3
marimba 80.2
chime 42.1
interior 18.5
people 17.3
house 15.9
indoors 14
window 13.7
room 13.7
home 13.5
glass 13.5
man 13.4
vibraphone 13.4
architecture 13.3
building 12.7
light 11.3
person 10.7
design 10.7
modern 10.5
table 10.4
wall 10.2
lifestyle 10.1
old 9.7
business 9.7
balcony 9.5
luxury 9.4
male 9.2
fashion 9
human 9
wooden 8.8
women 8.7
furniture 8.7
work 8.6
elegant 8.6
industry 8.5
chair 8.5
black 8.4
indoor 8.2
happy 8.1
history 8
structure 7.8
elegance 7.5
wood 7.5
style 7.4
inside 7.3
smiling 7.2
happiness 7

Google
created on 2022-02-26

Black-and-white 84.6
Style 83.9
Monochrome 73.1
Monochrome photography 73
Glass 68.2
Fence 66.5
Room 63.4
Stock photography 61.9
Vintage clothing 61.2
Font 57.8
Personal protective equipment 56.7
Metal 56.6
Door 50.2

Microsoft
created on 2022-02-26

wall 97.6
indoor 89.8
black and white 86.5
clothing 82.8
person 79
human face 74.8
furniture 60.3
old 52.2
baby bed 35.8

Face analysis

Amazon

AWS Rekognition

Age 41-49
Gender Male, 99.2%
Happy 71.7%
Surprised 22.8%
Calm 3.7%
Confused 0.5%
Fear 0.4%
Disgusted 0.4%
Sad 0.3%
Angry 0.3%

Feature analysis

Amazon

Person 95%
Crib 79.3%

Captions

Microsoft

a man standing in front of a mirror posing for the camera 68.2%
a man sitting in front of a mirror posing for the camera 54.7%
a man that is standing in front of a mirror posing for the camera 54.6%

Text analysis

Amazon

20