Human Generated Data

Title

Making and Selling Maguey Dolls

Date

c. 1924-76, printed 2005

People

Artist: Baldomero Alejos, Peruvian 1902-1976

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.141

Human Generated Data

Title

Making and Selling Maguey Dolls

People

Artist: Baldomero Alejos, Peruvian 1902-1976

Date

c. 1924-76, printed 2005

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the David Rockefeller Center for Latin American Studies, Harvard University, Estrellita Bograd Brodsky Fund for Latin American Art and Culture and Gustavo E. Brillembourg Memorial Fund, 2012.141

Machine Generated Data

Tags

Amazon
created on 2019-05-28

Human 99.5
Person 99.5
Person 99.5
Person 99
Person 98.7
Person 97.6
Person 97.6
Person 97
Person 96.6
Person 94.5
Person 91.9
Person 91.1
People 90
Person 89.1
Urban 83.2
Person 80.7
Building 74
Apparel 73.8
Clothing 73.8
Leisure Activities 71.5
Family 56.7
City 55.8
Town 55.8
Person 48

Clarifai
created on 2019-05-28

people 100
adult 99.1
group 99.1
many 98.1
group together 98
one 95.8
man 95.5
wear 95.4
woman 94.3
child 94
administration 92.3
outfit 88.3
position 86.9
home 85.5
room 85.3
two 84.1
several 83.8
boy 82.2
war 81.4
military 80.8

Imagga
created on 2019-05-28

barbershop 96.6
shop 89.1
mercantile establishment 66.3
place of business 44.2
old 29.2
building 26.1
establishment 22.5
architecture 21.9
city 21.6
wall 17.4
light 15.4
history 14.3
historic 13.7
window 13.5
travel 12.7
stone 12.6
historical 12.2
ancient 12.1
man 12.1
people 11.7
vintage 11.6
home 11.2
house 10.9
religion 10.7
street 10.1
urban 9.6
antique 9.5
buildings 9.4
art 9.1
tourism 9.1
arch 8.7
roof 8.6
hairdresser 8.5
religious 8.4
monument 8.4
exterior 8.3
interior 8
facade 7.8
structure 7.8
male 7.8
construction 7.7
dark 7.5
wood 7.5
town 7.4
person 7.3
dirty 7.2
holiday 7.2
shadow 7.2

Google
created on 2019-05-28

Microsoft
created on 2019-05-28

clothing 97.2
person 96
black and white 85
man 76.6
group 72.3
posing 57.5
store 54.9
woman 53.8
smile 53.7
old 43.4
shop 9.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Male, 54.4%
Angry 45.4%
Calm 48.2%
Sad 48.8%
Disgusted 45.1%
Surprised 45.4%
Happy 46.8%
Confused 45.3%

AWS Rekognition

Age 23-38
Gender Female, 53.7%
Surprised 45.2%
Happy 45.1%
Calm 48.9%
Confused 45.2%
Angry 45.4%
Disgusted 45.1%
Sad 50.1%

AWS Rekognition

Age 12-22
Gender Female, 53.2%
Angry 45%
Surprised 45%
Confused 45%
Calm 45%
Happy 45%
Disgusted 45%
Sad 54.9%

AWS Rekognition

Age 26-43
Gender Male, 55%
Calm 45.5%
Confused 45.9%
Happy 49.4%
Disgusted 45.6%
Surprised 45.5%
Angry 46.2%
Sad 46.8%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 45.6%
Surprised 45.2%
Sad 45.6%
Calm 52.8%
Angry 45.3%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54%
Angry 45.2%
Calm 50.9%
Disgusted 45.1%
Sad 48.1%
Surprised 45.1%
Confused 45.6%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.2%
Happy 45%
Surprised 45.1%
Sad 54.1%
Calm 45.3%
Angry 45.2%
Disgusted 45.1%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.5%
Angry 45.1%
Disgusted 45%
Sad 54.3%
Surprised 45%
Calm 45.5%
Happy 45.1%
Confused 45%

AWS Rekognition

Age 23-38
Gender Male, 54%
Surprised 45.2%
Calm 50.6%
Happy 45.2%
Disgusted 45.2%
Confused 45.2%
Sad 48.2%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 52.2%
Confused 45.1%
Surprised 45%
Angry 45.1%
Sad 54.5%
Happy 45.1%
Calm 45.1%
Disgusted 45.1%

AWS Rekognition

Age 29-45
Gender Female, 54.2%
Angry 46.2%
Happy 45.2%
Disgusted 45.3%
Confused 45.1%
Sad 53%
Surprised 45.1%
Calm 45.2%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Surprised 45%
Sad 54.4%
Happy 45%
Confused 45.1%
Angry 45.1%
Disgusted 45.2%
Calm 45.2%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Disgusted 50%
Sad 49.6%
Confused 49.5%
Calm 49.8%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 49.5%
Angry 49.9%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Disgusted 49.8%
Happy 49.6%
Confused 49.6%
Sad 49.7%
Calm 49.8%
Angry 49.6%
Surprised 49.5%

Feature analysis

Amazon

Person 99.5%

Text analysis

Amazon

ens