Human Generated Data

Title

Untitled (large group in snow with snow shoes, outside bus)

Date

c. 1935, printed later

People

Artist: Durette Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Human Generated Data

Title

Untitled (large group in snow with snow shoes, outside bus)

People

Artist: Durette Studio, American 20th century

Date

c. 1935, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Machine Generated Data

Tags

Amazon
created on 2019-05-30

Person 99
Human 99
Person 98.1
Dessert 97.4
Cake 97.4
Food 97.4
Person 95.3
Clothing 92.4
Apparel 92.4
Person 88.6
Person 84.2
Person 79.7
Person 79.3
Person 77.3
Wedding Cake 74
Person 62.3
Person 60.1
Fashion 60
Gown 60
Robe 59.6
Person 58.2
Mammal 55.6
Animal 55.6
Horse 55.6

Clarifai
created on 2019-05-30

people 99.6
many 96.9
group 96.5
adult 95.9
man 94.7
group together 94.6
wear 91.5
snow 86.6
woman 84.3
several 81.8
military 80.8
one 80.7
leader 80.2
winter 80
war 77.8
child 76.7
outfit 75.8
vehicle 75.4
two 72.9
administration 72.2

Imagga
created on 2019-05-30

window 27.3
window screen 23.6
screen 23.6
book jacket 23.5
building 23.5
old 20.9
covering 20
jacket 18.3
architecture 18
city 16.6
windowsill 16.5
wall 16.2
history 16.1
protective covering 16
vintage 15.7
historic 15.6
wrapping 13.9
texture 13.9
antique 13.8
structure 13.7
sill 13.2
art 13
grunge 12.8
framework 12.5
house 11.7
black 10.2
structural member 10
frame 10
dirty 9.9
retro 9.8
blackboard 9.5
grungy 9.5
light 9.4
monument 9.3
glass 9.3
decoration 9.2
rough 9.1
tourism 9.1
design 9
supporting structure 8.9
film 8.8
support 8.8
facade 8.8
ancient 8.6
windows 8.6
television 8.6
sculpture 8.6
travel 8.4
street 8.3
negative 8.2
case 7.8
color 7.8
device 7.6
detail 7.2
aged 7.2
landmark 7.2
religion 7.2
material 7.1
interior 7.1

Google
created on 2019-05-30

Microsoft
created on 2019-05-30

ship 91.6
indoor 88.5
old 75.6
people 69.9
black and white 69.3
white 60.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Male, 54.9%
Confused 45.2%
Happy 45.4%
Angry 45.7%
Surprised 45.1%
Calm 52.4%
Disgusted 45.2%
Sad 45.8%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Happy 49.9%
Confused 49.5%
Calm 49.6%
Angry 49.7%
Sad 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 51.9%
Happy 45.1%
Confused 45.2%
Disgusted 52.3%
Calm 46%
Sad 45.6%
Angry 45.7%
Surprised 45.2%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Sad 49.5%
Calm 49.5%
Angry 49.5%
Happy 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Sad 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Calm 50.2%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Sad 49.7%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Happy 50.3%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.7%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Angry 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.7%
Calm 50.1%
Disgusted 49.6%

AWS Rekognition

Age 60-90
Gender Female, 54.7%
Confused 45%
Sad 45.9%
Happy 53.7%
Disgusted 45.1%
Calm 45.1%
Surprised 45.1%
Angry 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.6%
Sad 49.5%
Surprised 49.5%
Angry 49.5%
Happy 50.4%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Confused 49.6%
Sad 49.8%
Calm 49.8%
Surprised 49.6%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Happy 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Angry 49.5%
Calm 50.2%
Sad 49.5%

AWS Rekognition

Age 35-55
Gender Male, 50.3%
Sad 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.6%
Angry 49.5%
Surprised 49.6%
Happy 49.5%
Calm 50.3%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 48-68
Gender Male, 54.8%
Disgusted 45.2%
Angry 46%
Surprised 45.7%
Happy 45.3%
Calm 50.9%
Confused 45.9%
Sad 46%

AWS Rekognition

Age 27-44
Gender Male, 51.8%
Calm 50.8%
Disgusted 45.3%
Angry 45.4%
Happy 45.3%
Surprised 45.4%
Sad 47.4%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Happy 49.7%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%
Sad 49.8%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.8%
Sad 50%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 50.4%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Sad 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Disgusted 49.7%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Sad 49.8%
Surprised 49.6%
Happy 49.6%

Feature analysis

Amazon

Person 99%
Horse 55.6%

Categories

Text analysis

Amazon

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Google

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