Human Generated Data

Title

Untitled (child on crutches with nurse)

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, 4.2002.15558.2

Human Generated Data

Title

Untitled (child on crutches with nurse)

People

Artist: Jack Gould, American

Date

c. 1950

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Clothing 99.7
Apparel 99.7
Human 97.1
Person 97
Person 95.9
Tripod 91.6
Indoors 85.3
Room 85.3
Fashion 76.3
Gown 76.3
Robe 75.1
Photo 74.6
Photography 74.6
Female 67
Photographer 66.3
Wedding 63.8
Wedding Gown 63.4
Portrait 63
Face 63
Sketch 58.6
Art 58.6
Drawing 58.6
Veil 58.3
Woman 55

Imagga
created on 2022-02-05

crutch 100
staff 100
stick 98.8
man 17.5
male 17
people 16.7
adult 16.2
person 15.9
cleaner 14.1
fashion 12.1
black 12
work 11.8
walking 10.4
building 10.3
construction 10.3
architecture 10.1
happy 10
city 10
pretty 9.8
old 9.8
interior 9.7
business 9.7
walk 9.5
wall 9.4
senior 9.4
window 9.2
alone 9.1
portrait 9.1
human 9
active 9
one 9
worker 8.9
sexy 8.8
urban 8.7
life 8.6
men 8.6
outdoor 8.4
silhouette 8.3
lady 8.1
body 8
harp 7.9
indoors 7.9
industry 7.7
concrete 7.7
equipment 7.5
vacation 7.4
home 7.2
hair 7.1
smile 7.1

Microsoft
created on 2022-02-05

text 92.5
person 89.7
clothing 89.3
black and white 83.2
drawing 77.5
art 70
woman 69.6

Face analysis

Amazon

Google

AWS Rekognition

Age 13-21
Gender Female, 90.4%
Calm 93.5%
Sad 6.1%
Disgusted 0.1%
Confused 0.1%
Surprised 0.1%
Fear 0.1%
Happy 0%
Angry 0%

Google Vision

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

Feature analysis

Amazon

Person 97%

Captions

Microsoft

a man and a woman standing in front of a mirror 34.4%
a person standing in front of a mirror posing for the camera 34.3%
a man and woman standing in front of a mirror posing for the camera 26.8%