Human Generated Data

Title

Untitled (eight male utility workers posing in front of truck)

Date

c. 1950, printed later

People

Artist: Jack Rodden Studio, American 1914 - 2016

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13832

Human Generated Data

Title

Untitled (eight male utility workers posing in front of truck)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13832

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Collage 99.8
Advertisement 99.8
Poster 99.8
Human 99.1
Person 99.1
Person 98.9
Person 98.8
Person 98.7
Person 98.5
Car 98.2
Automobile 98.2
Vehicle 98.2
Transportation 98.2
Person 98.1
Person 97.8
Person 97.8
Person 97.5
Person 96.1
Person 94.8
Car 93.8
City 92.5
Building 92.5
Urban 92.5
Metropolis 92.5
Town 92.5
Person 87.9
Road 86.1
Person 85.9
Person 81.2
Person 73.8
Person 72.3
Person 64.7
Tarmac 62.1
Asphalt 62.1
Clothing 58.2
Apparel 58.2
Billboard 57.6

Clarifai
created on 2019-11-16

people 99.5
street 98.3
group 98
monochrome 96.6
many 95.9
adult 94.5
man 94.3
group together 94.2
no person 90.8
police 88.6
vehicle 88.5
home 88.4
city 85.9
administration 84.8
woman 84.1
furniture 83.7
war 83.2
crowd 82.5
wear 82.4
two 82.1

Imagga
created on 2019-11-16

billboard 56.3
structure 45.3
signboard 44.8
architecture 29.5
city 29.1
building 25.9
urban 23.6
night 17.8
travel 17.6
light 16
sky 15.9
window 14.8
tower 14.3
black 12.6
history 12.5
street 12
skyline 11.4
buildings 11.3
balcony 11.3
modern 11.2
old 11.1
landmark 10.8
cityscape 10.4
construction 10.3
reflection 10
bridge 9.7
house 9.2
exterior 9.2
business 9.1
silhouette 9.1
tourism 9.1
downtown 8.6
lamp 8.6
industry 8.5
winter 8.5
office 8.5
art 8.5
famous 8.4
dark 8.4
town 8.3
water 8
interior 8
metropolis 7.8
scene 7.8
glass 7.8
ancient 7.8
factory 7.7
architectural 7.7
dusk 7.6
evening 7.5
landscape 7.4
historic 7.3
sunset 7.2
steel 7.1

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

text 96.9
black and white 95.4
street 94
vehicle 69.4
white 63.3
building 54.1
monochrome 52.9
car 52
person 50
store 37.4
cluttered 16

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 32-48
Gender Female, 55%
Fear 52.6%
Sad 47%
Disgusted 45%
Surprised 45%
Calm 45%
Happy 45.2%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 27-43
Gender Male, 50.5%
Disgusted 50.4%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.5%
Fear 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 36-54
Gender Female, 54.8%
Disgusted 45%
Surprised 45.5%
Happy 45.2%
Confused 45.2%
Sad 45.5%
Fear 53.3%
Angry 45.2%
Calm 45.1%

AWS Rekognition

Age 33-49
Gender Female, 50.4%
Angry 49.5%
Fear 50.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 32-48
Gender Female, 54.5%
Happy 45%
Angry 45%
Disgusted 45%
Calm 45%
Fear 54.2%
Surprised 45.1%
Confused 45%
Sad 45.6%

AWS Rekognition

Age 23-35
Gender Male, 50.1%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 50.4%

AWS Rekognition

Age 37-55
Gender Female, 51%
Surprised 45%
Fear 54.8%
Angry 45%
Happy 45%
Sad 45.1%
Confused 45%
Calm 45%
Disgusted 45%

AWS Rekognition

Age 22-34
Gender Female, 53.7%
Surprised 46.1%
Happy 45.7%
Sad 45.8%
Fear 50.8%
Calm 45.2%
Confused 45.3%
Disgusted 45.3%
Angry 45.8%

AWS Rekognition

Age 30-46
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Calm 50.3%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Female, 52.5%
Angry 45.4%
Disgusted 45.5%
Surprised 46.2%
Sad 45.4%
Confused 45.2%
Calm 45.7%
Fear 50.7%
Happy 45.8%

AWS Rekognition

Age 23-37
Gender Female, 50.3%
Sad 50.4%
Disgusted 49.5%
Fear 49.6%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.5%
Calm 50.4%
Surprised 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.5%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Calm 50.2%
Fear 49.6%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Angry 49.5%
Disgusted 49.5%
Surprised 49.6%
Confused 49.5%
Fear 50.2%
Calm 49.5%
Sad 49.6%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%
Sad 50%
Calm 49.7%
Happy 49.5%
Fear 49.6%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50.5%
Happy 49.5%
Angry 50.3%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Fear 49.6%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.2%
Happy 49.5%
Sad 50.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Male, 50.4%
Confused 49.5%
Sad 50.3%
Happy 49.5%
Angry 49.6%
Fear 49.6%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50.2%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.6%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 32-48
Gender Male, 50.2%
Fear 49.8%
Angry 49.5%
Sad 50.2%
Happy 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 33-49
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.6%
Fear 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Surprised 49.5%
Angry 50.1%

Feature analysis

Amazon

Person 99.1%
Car 98.2%

Categories

Text analysis

Google

La sEL
sEL
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