Human Generated Data

Title

Untitled (twelve photographs: Cuban revolutionaries on tanks)

Date

c. 1950, printed later

People

Artist: Lester Cole, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12254

Human Generated Data

Title

Untitled (twelve photographs: Cuban revolutionaries on tanks)

People

Artist: Lester Cole, American

Date

c. 1950, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-25

Poster 99.5
Collage 99.5
Advertisement 99.5
Human 97.1
Person 97.1
Person 95
Person 94.1
Metropolis 92.1
City 92.1
Town 92.1
Urban 92.1
Building 92.1
Person 86.9
Person 82.1
Person 80.6
Person 80.3
Person 76.9
Person 76.4
Transportation 75.4
Vehicle 75.4
Car 75.4
Automobile 75.4
Person 71.1
Person 63.5
Person 62.8
Person 62.6
Person 62.4
Machine 61
Wheel 61
Cruiser 59.7
Ship 59.7
Navy 59.7
Military 59.7
Bird 59.4
Animal 59.4
Army 56.7
Tank 56.7
Military Uniform 56.7
Armored 56.7
Person 56.3
Billboard 55
Person 52.5

Imagga
created on 2022-02-25

window 31.5
design 19.7
art 18.9
comic book 18.9
glass 18.1
old 17.4
frame 16.6
texture 16
shop 15.8
black 15
religion 14.3
door 14.3
architecture 14.3
menu 14.1
building 13.8
pattern 13.7
grunge 13.6
vintage 12.6
sliding door 12.4
mercantile establishment 11.8
collection 11.7
screen 11.6
cathedral 11.2
framework 10.9
interior 10.6
stained 10.6
style 10.4
paper 10.2
sky 10.2
church 10.2
retro 9.8
case 9.5
antique 9.5
decoration 9.4
wall 9.4
fare 9.4
religious 9.4
traditional 9.1
modern 9.1
business 9.1
graphic 8.7
light 8.7
office 8.6
colorful 8.6
bookshop 8.4
structure 8.4
decorative 8.3
template 8.2
historic 8.2
technology 8.2
place of business 7.9
covering 7.9
stall 7.9
ancient 7.8
tree 7.7
culture 7.7
card 7.6
web 7.6
print media 7.5
house 7.5
movable barrier 7.5
digital 7.3
history 7.1
market 7.1
travel 7

Google
created on 2022-02-25

Microsoft
created on 2022-02-25

billboard 50.1
bunch 43.7
different 38.8
window 37.9
several 10.4

Face analysis

Amazon

Google

AWS Rekognition

Age 30-40
Gender Female, 99.6%
Happy 89.1%
Calm 7.8%
Surprised 0.8%
Sad 0.6%
Confused 0.6%
Angry 0.4%
Disgusted 0.4%
Fear 0.3%

AWS Rekognition

Age 39-47
Gender Male, 100%
Happy 92%
Calm 3.9%
Surprised 0.9%
Fear 0.8%
Disgusted 0.8%
Confused 0.5%
Sad 0.5%
Angry 0.5%

AWS Rekognition

Age 35-43
Gender Male, 99.8%
Happy 99.9%
Calm 0%
Surprised 0%
Sad 0%
Fear 0%
Disgusted 0%
Angry 0%
Confused 0%

AWS Rekognition

Age 37-45
Gender Male, 99.5%
Happy 40.5%
Disgusted 11.7%
Angry 10.7%
Sad 10.6%
Confused 10.6%
Surprised 8.3%
Calm 4%
Fear 3.6%

AWS Rekognition

Age 21-29
Gender Male, 74.8%
Sad 73.1%
Fear 8.1%
Calm 7.4%
Confused 6.1%
Disgusted 1.5%
Happy 1.3%
Surprised 1.3%
Angry 1.3%

AWS Rekognition

Age 19-27
Gender Male, 89.1%
Calm 69.3%
Sad 13.3%
Happy 7.6%
Angry 3.2%
Disgusted 2.1%
Surprised 1.6%
Confused 1.5%
Fear 1.4%

AWS Rekognition

Age 11-19
Gender Female, 58%
Happy 75.1%
Calm 11.2%
Sad 6.7%
Surprised 2.6%
Angry 2.1%
Fear 1.3%
Disgusted 0.6%
Confused 0.5%

AWS Rekognition

Age 11-19
Gender Male, 91.5%
Calm 74.6%
Sad 9.7%
Fear 7.9%
Disgusted 1.9%
Surprised 1.8%
Confused 1.7%
Happy 1.2%
Angry 1.1%

AWS Rekognition

Age 2-8
Gender Female, 96.9%
Calm 56.7%
Confused 11.9%
Angry 10.4%
Fear 6.2%
Happy 5.4%
Sad 4.3%
Disgusted 3.7%
Surprised 1.5%

AWS Rekognition

Age 6-16
Gender Female, 95.7%
Sad 81.9%
Calm 9.3%
Happy 3.6%
Surprised 1.9%
Fear 1.3%
Confused 0.8%
Angry 0.6%
Disgusted 0.6%

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 97.1%
Car 75.4%
Wheel 61%
Bird 59.4%
Tank 56.7%

Captions

Microsoft

calendar 82.8%

Text analysis

Amazon

26
KODAK
FILM
12
G10
3
SAFETY
SAFETY FILM
8
4
SKEETY FILM
-
ODAK
ROBAK
SKEETY

Google

112
SAFETY
TILM
KODAK
FILM
RODA
112 KODAK 5AFETY FILM SAFETY TILM SAFETY FILM KODAK LEE KODAK RODA
5AFETY
LEE