Human Generated Data

Title

The Wedding Feast at Cana

Date

19th century

People

Artist: Franz Hanfstaengl, German 1804 - 1877

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G1770

Human Generated Data

Title

The Wedding Feast at Cana

People

Artist: Franz Hanfstaengl, German 1804 - 1877

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G1770

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 99.2
Human 99.2
Person 98.1
Person 97.3
Person 97.2
Person 96.4
Person 96.1
Person 93.7
Art 93.4
Person 86.9
Person 86.8
Person 85.4
Person 82.1
Person 72.1
Person 71.6
Painting 71.2
Person 69.6
Person 62.6
Duel 58.5
Person 58.5
Text 55.4
Person 53.8
Person 49.2

Clarifai
created on 2019-11-06

people 99.9
group 99.3
print 98.9
art 98.6
illustration 98
many 96.5
man 94.7
adult 94.3
portrait 93.7
engraving 93.6
leader 90.9
vintage 89.9
old 89.4
wear 89
lithograph 88.9
antique 88.3
painting 87.5
child 86.5
woman 86.2
administration 84

Imagga
created on 2019-11-06

daily 29.2
sculpture 23.7
statue 23.2
old 21.6
history 21.5
art 20.1
graffito 19.7
decoration 19.6
ancient 16.4
architecture 16.4
monument 15.9
building 13.5
vintage 13.2
stone 12.7
city 12.5
historic 11.9
landmark 11.7
religion 11.6
symbol 11.4
drawing 11.4
historical 11.3
black 10.8
man 10.7
travel 10.6
memorial 10.6
money 10.2
people 10
tourism 9.9
marble 9.9
soldier 9.8
detail 9.6
sport 9.4
person 9.4
male 9.2
structure 9.1
antique 9
brass 8.8
military 8.7
god 8.6
men 8.6
bill 8.6
business 8.5
finance 8.4
religious 8.4
famous 8.4
church 8.3
newspaper 8.3
cash 8.2
carving 8.1
currency 8.1
bank 8.1
paper 7.8
catholic 7.8
war 7.7
grunge 7.7
column 7.5
dollar 7.4
figure 7.4
retro 7.4
exterior 7.4
street 7.4
letter 7.3
national 7.2
aged 7.2
sketch 7.2
creation 7.1

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 98.4
person 96.3
drawing 95.5
posing 94.4
clothing 92.6
sketch 90.8
man 71.3
old 67
group 61

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-35
Gender Male, 54.2%
Sad 45.4%
Angry 53.2%
Happy 45%
Surprised 45%
Fear 45.7%
Calm 45.2%
Confused 45.1%
Disgusted 45.3%

AWS Rekognition

Age 6-16
Gender Female, 54.6%
Calm 49.4%
Disgusted 45%
Surprised 45%
Sad 45%
Angry 45%
Happy 50.5%
Confused 45%
Fear 45%

AWS Rekognition

Age 21-33
Gender Male, 54.5%
Happy 45%
Surprised 45.1%
Confused 45%
Calm 54.1%
Angry 45.3%
Sad 45.4%
Fear 45%
Disgusted 45.1%

AWS Rekognition

Age 30-46
Gender Male, 54%
Fear 45%
Calm 54.9%
Sad 45%
Angry 45%
Confused 45%
Surprised 45%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 21-33
Gender Male, 54.6%
Happy 45%
Calm 53.6%
Angry 45.4%
Surprised 45.2%
Confused 45.1%
Disgusted 45.2%
Fear 45.2%
Sad 45.2%

AWS Rekognition

Age 18-30
Gender Male, 54.7%
Calm 50.4%
Angry 45.8%
Disgusted 45.2%
Surprised 46.8%
Sad 45.1%
Happy 45%
Fear 46.4%
Confused 45.2%

AWS Rekognition

Age 5-15
Gender Female, 54.2%
Fear 45%
Surprised 45%
Disgusted 45%
Angry 45.5%
Happy 45%
Calm 54%
Sad 45.4%
Confused 45%

AWS Rekognition

Age 23-35
Gender Female, 51.6%
Sad 45.9%
Happy 45.4%
Angry 47.7%
Fear 45.1%
Surprised 45.2%
Calm 46.6%
Disgusted 48.9%
Confused 45.2%

AWS Rekognition

Age 43-61
Gender Male, 52.4%
Confused 45%
Fear 45%
Happy 45%
Angry 45%
Calm 55%
Disgusted 45%
Sad 45%
Surprised 45%

AWS Rekognition

Age 21-33
Gender Male, 52.7%
Calm 50.6%
Happy 45.4%
Fear 45%
Sad 48.1%
Surprised 45%
Angry 45.7%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 22-34
Gender Female, 54.9%
Fear 45%
Calm 53.3%
Sad 45.9%
Angry 45.2%
Confused 45%
Surprised 45%
Disgusted 45%
Happy 45.5%

AWS Rekognition

Age 18-30
Gender Female, 52.7%
Confused 45.1%
Angry 45.1%
Happy 49.1%
Sad 46%
Fear 48.8%
Disgusted 45%
Calm 45.5%
Surprised 45.3%

AWS Rekognition

Age 2-8
Gender Female, 50.4%
Calm 49.9%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Happy 49.9%
Angry 49.6%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 26-40
Gender Male, 53.8%
Angry 48.2%
Surprised 45%
Fear 45%
Disgusted 45.1%
Confused 45.2%
Sad 49.6%
Happy 45.1%
Calm 46.8%

AWS Rekognition

Age 40-58
Gender Male, 54.7%
Calm 48.9%
Disgusted 45%
Surprised 46%
Sad 48.5%
Angry 45.2%
Happy 45.1%
Confused 45.2%
Fear 46%

AWS Rekognition

Age 26-40
Gender Female, 52.4%
Calm 47.8%
Angry 49.4%
Surprised 45.2%
Fear 45.3%
Happy 45.4%
Disgusted 45%
Confused 45.1%
Sad 46.8%

AWS Rekognition

Age 46-64
Gender Male, 54.3%
Happy 45%
Calm 49.9%
Angry 49.1%
Surprised 45.1%
Confused 45.2%
Disgusted 45.2%
Fear 45.1%
Sad 45.4%

AWS Rekognition

Age 1-5
Gender Male, 50.2%
Angry 49.5%
Happy 49.5%
Fear 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 49.6%

AWS Rekognition

Age 31-47
Gender Male, 50.5%
Surprised 49.6%
Angry 50%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Fear 49.6%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Angry 49.5%
Fear 49.5%
Sad 49.5%
Surprised 49.5%
Calm 50.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 4-14
Gender Female, 50.3%
Calm 48.6%
Angry 45.5%
Surprised 45%
Fear 45.1%
Happy 45.4%
Disgusted 45.3%
Confused 45.1%
Sad 50%

AWS Rekognition

Age 23-37
Gender Male, 53.5%
Fear 45.1%
Sad 54.8%
Surprised 45%
Disgusted 45%
Calm 45%
Confused 45%
Happy 45%
Angry 45%

Feature analysis

Amazon

Person 99.2%
Painting 71.2%

Text analysis

Amazon

ist
Jesus
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IU oflimbanrife leine Herrlijkeidt lene Jiiner glonbten au bhn. Jh.2.0.1,
Jh.2.0.1,
u
0as
edai
au
bhn.
lene
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IU
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g

Google

in Balilaa ist Dis ersie Beichen, dns Jesus thai, gehehn su U Jo.2..11 enbe de Jere erlirh kei ln Jrne nger glanlten a i h dm
ist
Dis
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Beichen,
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a
h
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in
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Jo.2..11
enbe
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