Human Generated Data

Title

Untitled (hospital patients in wheelchairs)

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, 4.2002.16009.2

Human Generated Data

Title

Untitled (hospital patients in wheelchairs)

People

Artist: Jack Gould, American

Date

c. 1950

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-11

Person 99.8
Human 99.8
Machine 99.4
Wheel 99.4
Wheel 98.5
Furniture 98
Person 96.8
Person 96.1
Person 95.7
Chair 95.4
Bicycle 94
Vehicle 94
Transportation 94
Bike 94
Person 93
Person 92.2
Person 91.7
Wheel 83.9
Clothing 71.6
Apparel 71.6
Couch 68.4
Table 65.6
Room 64.4
Indoors 64.4
Cafeteria 61.1
Restaurant 61.1
Bicycle 60.3
Cafe 60.2
Text 59.3
Dining Table 58.2
Porch 57.8
Floor 57.4
Screen 57
Monitor 57
Electronics 57
Display 57
LCD Screen 57
Sitting 56.7
Door 56.6
Housing 55.8
Building 55.8
Person 53.4
Person 51.6

Imagga
created on 2022-02-11

door 28.7
architecture 26.7
building 26.6
window 24.6
house 23.4
sketch 23.1
sliding door 22.3
shop 21
barbershop 20.8
drawing 20.6
old 19.5
home 19.1
wall 18.8
interior 18.6
structure 18
room 15.8
chair 15.8
modern 15.4
wood 15
city 15
mercantile establishment 14.6
light 14
urban 13.1
movable barrier 12.9
representation 12.6
design 12.4
furniture 12.1
metal 11.3
industry 11.1
indoor 10.9
decor 10.6
table 10.6
travel 10.6
person 10.4
stone 10.1
place of business 9.9
business 9.7
barrier 9.7
indoors 9.7
construction 9.4
patient 9.3
inside 9.2
historic 9.2
work 9
hospital 9
history 8.9
steel 8.8
working 8.8
decoration 8.8
winter 8.5
floor 8.4
people 8.4
street 8.3
vintage 8.3
wooden 7.9
snow 7.9
ancient 7.8
glass 7.8
luxury 7.7
apartment 7.7
town 7.4
exterior 7.4
worker 7.2

Google
created on 2022-02-11

Microsoft
created on 2022-02-11

text 98.2
window 86.3
black and white 76
house 72.4
table 72
person 60.3
white 60.2
man 51.2

Face analysis

Amazon

Google

AWS Rekognition

Age 14-22
Gender Female, 96.7%
Happy 64.7%
Calm 18.7%
Surprised 5.7%
Sad 3.6%
Angry 3.2%
Confused 1.7%
Disgusted 1.4%
Fear 1%

AWS Rekognition

Age 22-30
Gender Male, 95.7%
Calm 64.3%
Happy 16%
Sad 10.2%
Fear 4.7%
Angry 1.7%
Confused 1.2%
Disgusted 1%
Surprised 0.9%

AWS Rekognition

Age 25-35
Gender Male, 74.9%
Calm 96.1%
Sad 2.1%
Happy 0.7%
Confused 0.3%
Fear 0.2%
Angry 0.2%
Surprised 0.2%
Disgusted 0.2%

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.8%
Wheel 99.4%
Bicycle 94%

Captions

Microsoft

a vintage photo of some people by the window 81.1%
a vintage photo of some people by a window 79.6%
a vintage photo of a building 79.5%

Text analysis

Amazon

SAFETY
FILM
KODAK SAFETY FILM
SAFETY FILM
KODAK

Google

SAFETY FILM SAFETY FILM
FILM
SAFETY