Human Generated Data

Title

The Punishment of the Elders
Date

16th-17th century
People

Artist: Hans Collaert the Younger, Netherlandish 1566-1628

Artist after: Maerten de Vos, Netherlandish 1532 - 1603
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13566

Human Generated Data

Title

The Punishment of the Elders

People

Artist: Hans Collaert the Younger, Netherlandish 1566-1628

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Date

16th-17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13566

Machine Generated Data

Tags

Amazon
created on 2019-11-01

Art 98.1
Painting 96
Person 95.4
Human 95.4
Person 89.5
Person 83.6
Person 68.5
Archaeology 61.9

Clarifai
created on 2019-11-01

illustration 100
people 100
print 99.9
art 99.7
group 99.6
man 99.3
adult 99.1
engraving 99
weapon 98.7
cavalry 98.3
skirmish 98
woodcut 97.2
etching 96.9
sword 96.6
visuals 96.4
force 96.2
painting 96.2
war 95.8
many 94.7
two 94.4

Imagga
created on 2019-11-01

sketch 54.2
drawing 41.3
representation 37.8
paper 26.7
old 25.8
ancient 25.1
art 23.6
money 23
cash 22.9
currency 20.6
antique 20
sculpture 19.6
dollar 19.5
statue 18.4
bank 17.9
history 17.9
finance 17.7
vintage 16.5
wealth 16.2
financial 16
sand 15.9
architecture 15.6
bill 15.2
temple 15.2
carving 14.8
banking 14.7
religion 14.3
travel 14.1
business 14
dollars 13.5
capital 13.3
map 13.3
savings 13.1
culture 12.8
soil 12.7
us 12.5
pay 12.5
tourism 12.4
close 12
stone 11.9
earth 11.7
design 11.5
closeup 11.5
exchange 11.5
symbol 11.4
religious 11.2
city 10.8
hundred 10.7
text 10.5
texture 10.4
rich 10.2
note 10.1
decoration 10
atlas 10
franklin 9.8
bills 9.7
one 9.7
detail 9.7
loan 9.6
god 9.6
grunge 9.4
traditional 9.1
retro 9
banknotes 8.8
relief 8.6
monument 8.4
famous 8.4
world 8.3
investment 8.3
backdrop 8.2
landmark 8.1
museum 8
market 8
carved 7.8
artistic 7.8
legal 7.8
economic 7.7
finances 7.7
geography 7.7
wall 7.7
newspaper 7.6
sandstone 7.6
commerce 7.5
economy 7.4
gold 7.4
historic 7.3
black 7.2
building 7.1
nobody 7

Google
created on 2019-11-01

Art 89.4
Painting 76.8
Human 75.9
Organism 71.5
Tree 68.7
Visual arts 64.9
Stock photography 64
Printmaking 62.6
Drawing 60.7
Mythology 59.4
Figure drawing 56.7
Artwork 55.2
Illustration 54.5

Microsoft
created on 2019-11-01

text 99.9
book 99.7
drawing 97.5
sketch 96.3
illustration 78.7
cartoon 68
person 63.3
engraving 62.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Calm 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Confused 49.5%
Angry 50.4%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Fear 50.3%
Happy 49.5%
Sad 49.5%
Calm 49.5%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.3%
Confused 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 49.7%
Angry 49.6%
Happy 49.5%
Calm 50.1%
Surprised 49.5%

AWS Rekognition

Age 28-44
Gender Female, 53.5%
Happy 45%
Disgusted 45%
Confused 45%
Calm 47.8%
Fear 45%
Sad 51.9%
Surprised 45%
Angry 45.2%

AWS Rekognition

Age 33-49
Gender Male, 50.4%
Calm 49.8%
Angry 49.5%
Sad 50.1%
Surprised 49.5%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 28-44
Gender Male, 54.8%
Disgusted 45%
Fear 45%
Surprised 45%
Confused 45%
Happy 45%
Sad 45.1%
Angry 45%
Calm 54.9%

AWS Rekognition

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

AWS Rekognition

Age 36-54
Gender Male, 50.5%
Calm 49.8%
Angry 50.1%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50%
Fear 49.5%
Happy 50.1%
Calm 49.8%
Sad 49.6%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 27-43
Gender Male, 50.4%
Angry 50.2%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 28-44
Gender Male, 54.6%
Surprised 45%
Happy 45%
Confused 45%
Angry 55%
Disgusted 45%
Fear 45%
Sad 45%
Calm 45%

AWS Rekognition

Age 35-51
Gender Male, 50.3%
Happy 49.5%
Angry 49.6%
Fear 49.5%
Calm 50.2%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Angry 49.5%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 7-17
Gender Male, 50.2%
Angry 49.8%
Confused 49.5%
Calm 49.5%
Disgusted 49.6%
Happy 49.5%
Fear 50%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 31-47
Gender Female, 50.3%
Calm 50.2%
Angry 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 35-51
Gender Male, 50.3%
Sad 49.9%
Calm 50%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Fear 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.2%
Fear 49.5%
Sad 50.2%
Angry 49.6%
Disgusted 49.6%
Calm 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 41-59
Gender Female, 50.2%
Sad 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 50.5%
Surprised 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 50-68
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Calm 50.2%
Happy 49.5%
Sad 49.7%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.2%
Happy 49.9%
Angry 49.5%
Fear 49.5%
Disgusted 49.6%
Sad 49.6%
Calm 49.9%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 11-21
Gender Male, 50.2%
Disgusted 49.6%
Fear 49.6%
Surprised 49.5%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.1%
Fear 49.6%
Surprised 49.6%
Confused 49.5%
Calm 50%
Disgusted 49.5%
Happy 49.7%
Sad 49.6%
Angry 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.6%
Disgusted 45%
Fear 45.1%
Surprised 45%
Confused 45%
Happy 45.4%
Sad 45.3%
Angry 45%
Calm 54.1%

AWS Rekognition

Age 31-47
Gender Female, 50.1%
Angry 50.3%
Happy 49.5%
Confused 49.5%
Sad 49.5%
Fear 49.6%
Disgusted 49.5%
Calm 49.5%
Surprised 49.7%

AWS Rekognition

Age 22-34
Gender Male, 54.6%
Disgusted 45.1%
Calm 46.6%
Fear 45.2%
Angry 49.6%
Confused 45.1%
Happy 45%
Sad 48.4%
Surprised 45%

AWS Rekognition

Age 55-73
Gender Male, 50.3%
Confused 49.5%
Fear 49.5%
Surprised 49.5%
Disgusted 49.6%
Sad 49.8%
Calm 49.9%
Angry 49.5%
Happy 49.6%

Feature analysis

Amazon

Painting 96%
Person 95.4%

Categories

Imagga

paintings art 87.1%
beaches seaside 8.9%
streetview architecture 3.3%

Captions

Microsoft
created on 2019-11-01

a close up of a book 36.6%
close up of a book 32%
a hand holding a book 31.9%

Text analysis

Amazon

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cruenta
axifque
cadit
in
Et
Fal
teftes
Fal tuntur teftes axifque premunturs, Et cadit in molles poena cruenta Tenes. Danicl.i3.
Tenes.
poena
Danicl.i3.
premunturs,
tuntur
IeF
aele

Google

ww. Fali plectuntur teftes faxique premuntur Et cadit in molles poena cruenta fenes Daniel.i3
ww.
Fali
plectuntur
teftes
faxique
premuntur
Et
cadit
in
molles
poena
cruenta
fenes
Daniel.i3