Human Generated Data

Title

Golden Calf

Date

16th-17th century

People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R4865

Human Generated Data

Title

Golden Calf

People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91

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, R4865

Machine Generated Data

Tags

Amazon
created on 2019-11-10

Painting 99.1
Art 99.1
Person 97.9
Human 97.9
Person 97.7
Person 96.4
Person 92
Person 90.8
Person 89.8
Person 86.7
Person 84.8
Person 83.7
Person 80.3
Person 80.1
Person 75.8
Person 74.6
Person 74.3
Person 72
Person 71.5
Archaeology 65.9
Person 64.5
Person 64.1
Person 61.4
Person 52.7
Person 48.5
Person 43.7

Clarifai
created on 2019-11-10

illustration 99.9
people 99.8
art 99.3
print 99.2
man 99
group 97.1
adult 97
engraving 96.7
sword 96.5
woodcut 95.5
painting 94.4
weapon 91.6
kneeling 90.3
religion 90
cavalry 89.7
saint 88.8
etching 88.7
woman 88.3
war 87.3
book bindings 86.8

Imagga
created on 2019-11-10

sketch 100
drawing 100
representation 96.6
art 35.1
sculpture 34.6
ancient 29.4
statue 26.9
history 25
old 23.7
architecture 21.1
religion 18.8
god 18.2
antique 18.1
vintage 17.4
culture 16.2
stone 15.3
marble 15.2
church 14.8
temple 14.2
decoration 14.2
famous 14
carving 13.6
monument 13.1
symbol 12.8
landmark 12.6
retro 12.3
spirituality 11.5
figure 11.3
religious 11.2
building 11.1
city 10.8
tourism 10.7
holy 10.6
historical 10.4
travel 9.9
catholic 9.7
money 9.4
historic 9.2
artwork 9.2
traditional 9.1
painting 9
design 9
roman 8.9
statues 8.9
detail 8.9
man 8.7
artistic 8.7
spiritual 8.6
decorative 8.4
dollar 8.4
gold 8.2
style 8.2
currency 8.1
museum 7.9
baroque 7.8
us 7.7
cathedral 7.7
faith 7.7
letter 7.3
ornate 7.3
face 7.1

Google
created on 2019-11-10

Microsoft
created on 2019-11-10

text 100
book 99.5
drawing 98.4
sketch 96.8
person 94.4
old 93.7
illustration 87.3
clothing 83.3
engraving 77.5
cartoon 77.2
posing 63.6
man 55.3
vintage 44.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-35
Gender Male, 53.9%
Disgusted 45%
Angry 51.3%
Calm 48.6%
Happy 45.1%
Confused 45%
Surprised 45%
Sad 45%
Fear 45%

AWS Rekognition

Age 23-35
Gender Male, 54.1%
Angry 45%
Happy 45%
Surprised 45%
Disgusted 45%
Fear 45%
Confused 45%
Calm 54.7%
Sad 45.2%

AWS Rekognition

Age 31-47
Gender Male, 50.2%
Sad 45.1%
Happy 45.2%
Calm 54.7%
Surprised 45%
Disgusted 45%
Fear 45%
Confused 45%
Angry 45%

AWS Rekognition

Age 49-67
Gender Male, 54.8%
Happy 45%
Confused 45%
Surprised 45%
Sad 45%
Calm 45%
Fear 45%
Angry 54.9%
Disgusted 45%

AWS Rekognition

Age 23-35
Gender Male, 54.8%
Angry 46%
Happy 45.1%
Disgusted 45.7%
Confused 45.1%
Surprised 46.4%
Calm 50.1%
Sad 45.3%
Fear 46.4%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Disgusted 49.5%
Fear 49.5%
Angry 49.5%
Sad 49.6%
Calm 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Sad 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Angry 50.4%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Sad 49.5%
Happy 49.5%
Angry 49.9%
Calm 49.6%
Surprised 49.6%
Disgusted 49.6%
Fear 49.7%
Confused 49.6%

AWS Rekognition

Age 36-54
Gender Male, 50.1%
Surprised 49.5%
Disgusted 49.5%
Calm 50%
Sad 49.7%
Confused 49.5%
Happy 49.7%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 36-54
Gender Male, 50.5%
Sad 49.7%
Angry 49.6%
Surprised 49.5%
Fear 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 50.1%
Confused 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50.2%
Sad 49.5%
Fear 49.5%
Disgusted 49.7%
Happy 49.5%
Calm 50%
Angry 49.7%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 17-29
Gender Female, 50.1%
Calm 49.6%
Fear 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%
Sad 49.8%
Confused 49.7%

AWS Rekognition

Age 51-69
Gender Male, 50.2%
Sad 49.5%
Surprised 49.6%
Calm 50.2%
Happy 49.5%
Fear 49.5%
Confused 49.6%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50%
Angry 49.5%
Disgusted 49.5%
Sad 49.7%
Fear 49.7%
Surprised 49.5%
Happy 49.8%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 37-55
Gender Male, 50.2%
Surprised 49.5%
Confused 49.5%
Calm 50.1%
Happy 49.6%
Fear 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 49.8%

AWS Rekognition

Age 13-25
Gender Male, 50.3%
Disgusted 49.5%
Fear 49.5%
Angry 50.4%
Sad 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 49-67
Gender Male, 53.4%
Disgusted 45.4%
Calm 48.5%
Confused 45.3%
Angry 46.6%
Happy 46.5%
Sad 46.5%
Fear 45.9%
Surprised 45.3%

AWS Rekognition

Age 16-28
Gender Female, 50%
Angry 50.5%
Disgusted 49.5%
Calm 49.5%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 18-30
Gender Female, 50.1%
Sad 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Fear 49.5%
Confused 49.5%
Angry 50.5%
Disgusted 49.5%

AWS Rekognition

Age 46-64
Gender Male, 50.4%
Surprised 49.5%
Happy 49.5%
Calm 49.9%
Fear 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50%

AWS Rekognition

Age 46-64
Gender Male, 50.5%
Angry 49.7%
Happy 49.5%
Disgusted 49.5%
Calm 50.2%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Fear 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50.2%
Sad 49.5%
Fear 49.5%
Disgusted 50.1%
Happy 49.5%
Calm 49.6%
Angry 49.8%
Confused 49.5%
Surprised 49.5%

Feature analysis

Amazon

Painting 99.1%
Person 97.9%

Categories

Text analysis

Amazon

colerent
gelidis
in
bouem,
Conflato
Conflato gelidis in auro, Quem
Quem
Horebi
auro,
compofuere
vallibus
ruitulum
Horebi vallibus colerent ruitulum compofuere bouem, Exod. 3*.2
5
Exod. 3*.2

Google

Exod 3 Conflato aelidis Horebi in vallibus auro, Quem colerent vitulum compofue re bouem,
Exod
3
Conflato
aelidis
Horebi
in
vallibus
auro,
Quem
colerent
vitulum
compofue
re
bouem,