Human Generated Data

Title

Industrial Problems, Coöperation: Europe. Germany. Hamburg: Coöperative Societies, Germany: Gross-Einkaufs-Gesellschaft, Hamburg
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2098.1

Human Generated Data

Title

Industrial Problems, Coöperation: Europe. Germany. Hamburg: Coöperative Societies, Germany: Gross-Einkaufs-Gesellschaft, Hamburg

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2098.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 98.7
Person 98
Person 94.4
Person 94.1
Person 93.3
Person 91.5
Person 90.6
Person 88.7
Person 86.8
Person 84.8
Person 84.8
Person 83.2
Person 83.2
Person 81
Person 80.5
Person 79
Person 78.8
Person 78.8
People 77.8
Astronaut 76.8
Person 70.2
Person 67.2
Person 62.6
Person 62.5
Person 60.8
Soil 60.7
Person 51.8
Person 46.9

Clarifai
created on 2019-06-06

people 99.9
group 98.1
man 97.9
adult 97.5
many 95.7
antique 94.7
leader 93.7
vintage 91.6
art 91.5
portrait 89.9
woman 86.4
wear 86
old 85.7
print 85.6
engraving 84.9
retro 83.5
veil 83.1
one 82.5
group together 82.2
administration 80.7

Imagga
created on 2019-06-06

ancient 31.1
old 29.2
sculpture 28
art 24.4
grunge 20.4
vintage 20
history 18.8
architecture 18.7
money 18.7
stone 18.5
wall 18
cash 17.4
texture 17.4
currency 17
aged 16.3
temple 16.1
finance 16
bank 15.7
antique 15.6
religion 15.2
bill 15.2
carving 15.1
travel 14.8
retro 14.7
financial 14.3
paper 13.7
culture 13.7
banking 12.9
bust 12.8
statue 12.5
business 12.1
dollar 12.1
god 11.5
design 11.4
grungy 11.4
monument 11.2
building 10.5
structure 10.5
decoration 10.3
memorial 10.2
blackboard 10
wallpaper 9.9
dirty 9.9
wealth 9.9
cemetery 9.7
symbol 9.4
sign 9
carved 8.8
bills 8.7
states 8.7
pay 8.6
exchange 8.6
earth 8.5
savings 8.4
plastic art 8.4
economy 8.3
church 8.3
note 8.3
letter 8.3
tourism 8.2
stamp 7.9
dollars 7.7
spirituality 7.7
worn 7.6
united 7.6
brass 7.6
religious 7.5
traditional 7.5
rich 7.4
world 7.4
exterior 7.4
brown 7.4
man 7.3
investment 7.3
historic 7.3
container 7.3
people 7.2
detail 7.2
color 7.2
landmark 7.2

Google
created on 2019-06-06

Photograph 95.4
Team 90.8
History 54.1

Microsoft
created on 2019-06-06

old 96.6
posing 95.9
person 95.9
clothing 88.4
white 63
vintage 51.7
stone 7.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Surprised 49.6%
Happy 49.8%
Sad 49.6%
Angry 49.6%
Disgusted 49.7%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 52%
Calm 45.6%
Sad 50.1%
Confused 45.7%
Angry 46.4%
Disgusted 46.3%
Surprised 45.4%
Happy 45.5%

AWS Rekognition

Age 23-38
Gender Female, 54.9%
Surprised 45.9%
Disgusted 46.9%
Angry 45.5%
Sad 46.7%
Happy 48%
Confused 45.4%
Calm 46.6%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Calm 45.7%
Disgusted 46%
Happy 47.1%
Confused 45.5%
Surprised 45.4%
Sad 46.3%
Angry 48.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 50.3%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Angry 45.4%
Happy 45.2%
Disgusted 45.2%
Confused 45.2%
Calm 45.2%
Surprised 45.3%
Sad 53.4%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Disgusted 45.6%
Happy 45.4%
Angry 45.6%
Calm 45.5%
Surprised 45.5%
Confused 45.5%
Sad 51.8%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Confused 45.8%
Disgusted 48.1%
Sad 46.5%
Angry 45.8%
Surprised 45.9%
Happy 47.3%
Calm 45.6%

AWS Rekognition

Age 20-38
Gender Female, 52.2%
Calm 45.2%
Happy 46.4%
Sad 52%
Angry 45.4%
Disgusted 45.4%
Confused 45.3%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 49.9%
Confused 49.6%
Calm 49.6%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 20-38
Gender Male, 52.9%
Sad 47.7%
Angry 46.2%
Disgusted 47.7%
Surprised 46%
Happy 45.4%
Calm 45.7%
Confused 46.3%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.7%
Angry 50.1%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Confused 49.6%
Surprised 49.6%
Angry 49.7%
Happy 49.6%
Sad 49.7%
Calm 49.7%
Disgusted 49.8%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Angry 49.5%
Surprised 49.6%
Disgusted 49.6%
Sad 50%
Happy 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.6%
Surprised 49.6%
Happy 50.1%
Disgusted 49.6%
Angry 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Angry 49.6%
Disgusted 49.8%
Confused 49.6%
Calm 49.5%
Happy 49.7%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.8%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 53.1%
Angry 45.8%
Calm 48.3%
Sad 46.6%
Surprised 45.9%
Disgusted 46%
Happy 46.7%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.6%
Sad 49.9%
Surprised 49.6%
Angry 49.6%
Happy 49.5%
Confused 49.6%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Calm 50.2%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%
Sad 49.7%

Feature analysis

Amazon

Person 98%

Categories

Imagga

paintings art 90.3%
interior objects 6.4%
text visuals 2%