Human Generated Data

Title

Zen For Film

Date

1964

People

Artist: Nam June Paik, American 1932 - 2006

Publisher: George Maciunas, American 1931 - 1978

Classification

Multiples

Credit Line

Harvard Art Museums/Fogg Museum, Barbara and Peter Moore Fluxus Collection, Margaret Fisher Fund and gift of Barbara Moore/Bound & Unbound, M26446.20

Copyright

© Nam June Paik Estate

Human Generated Data

Title

Zen For Film

People

Artist: Nam June Paik, American 1932 - 2006

Publisher: George Maciunas, American 1931 - 1978

Date

1964

Classification

Multiples

Machine Generated Data

Tags

Amazon
created on 2019-11-07

Human 98.8
Person 98.8
Person 97.7
Person 84.5
Person 81.8
Machine 61.2
Furniture 58.7
Electronics 56.5
Screen 56.5

Clarifai
created on 2019-11-07

people 100
group together 99.2
adult 99.2
group 99.1
many 97.9
vehicle 97.1
military 92.6
man 92.5
leader 90.9
several 90.4
transportation system 89.2
outfit 89.1
watercraft 88.7
five 88.2
three 88.1
two 87.1
wear 86.7
war 76.7
administration 76.6
aircraft 74.7

Imagga
created on 2019-11-07

projector 100
automaton 74.8
optical instrument 50.5
device 47.7
optical device 27.8
technology 26
metal 25.7
power 21.8
engine 20.2
equipment 19.6
machine 19.1
industry 18.8
transportation 17
old 16.7
part 16.6
mechanical 14.6
military 14.5
steel 14.1
vehicle 14
motor 13.6
war 13.5
vintage 13.2
futuristic 12.6
chrome 12.2
antique 12.2
car 12
safety 12
retro 11.5
weapon 11.5
film 11.4
future 11.2
gun 11.2
protection 10.9
auto 10.5
entertainment 10.1
industrial 10
metallic 9.2
black 9
soldier 8.8
man 8.8
mask 8.6
automobile 8.6
wheel 8.5
fast 8.4
speed 8.2
danger 8.2
movie 8.2
tool 8.1
new 8.1
detail 8
shiny 7.9
cannon 7.9
automotive 7.8
parts 7.8
cinema 7.8
mechanic 7.8
pipe 7.8
lens 7.7
modern 7.7
fuel 7.7
camera 7.7
engineering 7.6
light 7.3
valve 7.3
science 7.1

Google
created on 2019-11-07

Photograph 96
Photography 70.6
Team 67.7
Room 65.7
Stock photography 64
Art 58.1
History 57.6
Crew 54.9
Illustration 50.4
Collection 50

Microsoft
created on 2019-11-07

text 97.9
person 96.6
posing 93.6
old 91.5
clothing 79.7
group 74.7
vintage 62.1
people 55.9
retro 51.8
automaton 8.3

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 48-66
Gender Male, 97%
Happy 0.7%
Disgusted 1.2%
Surprised 0.9%
Calm 85%
Fear 0.4%
Angry 3.6%
Sad 4.1%
Confused 4.1%

AWS Rekognition

Age 9-19
Gender Female, 83.7%
Sad 21.7%
Happy 0%
Fear 0.1%
Confused 3.6%
Surprised 0.2%
Calm 73.8%
Angry 0.6%
Disgusted 0.1%

AWS Rekognition

Age 29-45
Gender Male, 96.5%
Angry 1%
Calm 97.4%
Disgusted 0.2%
Happy 0%
Fear 0.1%
Sad 0.9%
Surprised 0.1%
Confused 0.2%

AWS Rekognition

Age 23-37
Gender Male, 81.9%
Disgusted 0.2%
Fear 1.2%
Happy 0.3%
Confused 0.6%
Angry 82.4%
Calm 8.3%
Sad 0.4%
Surprised 6.5%

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 56
Gender Male

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

Feature analysis

Amazon

Person 98.8%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 94.5%
a vintage photo of a group of people posing for a picture 94.4%
a vintage photo of a group of people posing for a photo 93.5%