Human Generated Data

Title

The Judgment of Solomon
Date

c. 1574
People

Artist: Hans Collaert the Elder, Netherlandish 1525/30 - 1580

Artist after: Jan Snellinck, Flemish c. 1544 - 1638

Publisher: Gerard de Jode, Flemish 1509 - 1591

Alternative attribution: Hans Collaert the Younger, Netherlandish 1566-1628
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.109

Human Generated Data

Title

The Judgment of Solomon

People

Artist: Hans Collaert the Elder, Netherlandish 1525/30 - 1580

Artist after: Jan Snellinck, Flemish c. 1544 - 1638

Publisher: Gerard de Jode, Flemish 1509 - 1591

Alternative attribution: Hans Collaert the Younger, Netherlandish 1566-1628

Date

c. 1574

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.109

Machine Generated Data

Tags

Amazon
created on 2019-07-02

Art 97.4
Person 94.8
Human 94.8
Book 94.4
Person 94.4
Person 88.4
Person 86
Person 82.6
Painting 63.8
Drawing 62.2
Person 59.4
Person 59.1
Person 50

Clarifai
created on 2019-07-02

painting 99.4
art 99.3
religion 98.4
people 97.9
illustration 97.5
god 96.2
old 95.7
man 94.3
saint 93.7
woman 93.6
print 93.1
antique 92.8
ancient 92.4
retro 92.2
vintage 91.5
manuscript 90.7
holy 90.5
museum 89.2
Gothic 86.2
book 85.5

Imagga
created on 2019-07-02

comic book 73.2
currency 35
money 33.2
graffito 31.8
vintage 29.8
finance 29.6
print media 29.3
cash 27.5
old 25.8
bank 24.2
stamp 23.9
paper 23.5
decoration 23.1
banking 23
bill 22.8
mail 22
postage 21.6
book 21.4
letter 21.1
retro 20.5
dollar 20.4
envelope 20.3
exchange 19.1
wealth 18.9
postmark 18.7
financial 18.7
business 18.2
savings 17.7
postal 17.7
post 16.2
product 16
note 15.6
art 14.7
bills 14.6
banknote 14.6
stamps 13.8
investment 13.8
global 13.7
dollars 13.5
payment 13.5
antique 13
ancient 13
printed 12.8
close 12.6
binding 12.2
economy 12.1
creation 12
one 12
grunge 11.9
banknotes 11.8
hundred 11.6
board 11.6
pay 11.5
notes 11.5
symbol 11.5
church 11.1
aged 10.9
philately 10.9
communications 10.5
office 10.4
design 10.3
culture 10.3
black 10.2
collection 9.9
circa 9.9
shows 9.9
museum 9.7
us 9.6
painted 9.5
united 9.5
religion 9
masterpiece 8.9
market 8.9
renaissance 8.8
container 8.8
paintings 8.8
rate 8.8
delivery 8.8
states 8.7
cutting 8.7
unique 8.5
painter 8.5
rich 8.4
world 8
icon 7.9
post mail 7.9
zigzag 7.9
fame 7.9
known 7.9
union 7.7
credit 7.7
international 7.6
fine 7.6
save 7.6
buy 7.5
closeup 7.4
history 7.2
travel 7
country 7
map 7

Google
created on 2019-07-02

Art 88.3
Painting 87.5
Textile 76
Tapestry 73.9
Illustration 73.8
Miniature 68.7
History 67.6
Mythology 62.9
Middle ages 53.1
Fictional character 52.8

Microsoft
created on 2019-07-02

painting 99.4
drawing 98.1
person 92.1
book 92.1
clothing 85.4
manuscript 84.7
cartoon 82.3
woman 79.3
child art 75.6
sketch 51.4
picture frame 20.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Female, 54.8%
Angry 52.7%
Sad 45.6%
Confused 45.2%
Happy 45.4%
Surprised 45.2%
Disgusted 45.1%
Calm 45.8%

AWS Rekognition

Age 48-68
Gender Male, 54.4%
Disgusted 45%
Happy 45%
Sad 53.9%
Angry 45.1%
Calm 45.6%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 53.7%
Happy 45.2%
Confused 45.5%
Angry 45.8%
Calm 49.5%
Disgusted 47.3%
Sad 46.5%
Surprised 45.3%

AWS Rekognition

Age 10-15
Gender Female, 52.7%
Confused 45.1%
Sad 53.3%
Angry 45.2%
Calm 46.1%
Surprised 45.2%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 17-27
Gender Male, 50.6%
Confused 45.1%
Disgusted 45%
Angry 45.2%
Calm 45.1%
Sad 54.5%
Happy 45.1%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Female, 50.8%
Surprised 45.2%
Angry 49.5%
Happy 45.2%
Disgusted 45.1%
Sad 46.5%
Confused 45.1%
Calm 48.4%

AWS Rekognition

Age 20-38
Gender Female, 51.4%
Happy 45%
Calm 47.3%
Sad 52.1%
Disgusted 45.1%
Surprised 45.1%
Confused 45.1%
Angry 45.3%

AWS Rekognition

Age 38-59
Gender Male, 53.1%
Sad 46.9%
Surprised 45.3%
Happy 45.3%
Disgusted 45.8%
Angry 48.9%
Confused 45.5%
Calm 47.3%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Angry 46%
Confused 45.6%
Happy 45.4%
Sad 47.7%
Surprised 45.7%
Disgusted 45.4%
Calm 49.2%

AWS Rekognition

Age 38-57
Gender Female, 51.6%
Confused 45.2%
Surprised 45.3%
Calm 51.6%
Disgusted 45.1%
Angry 45.2%
Happy 45.1%
Sad 47.6%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%
Angry 49.6%
Calm 50.1%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Female, 54.6%
Happy 45.1%
Angry 45.1%
Surprised 45.1%
Sad 54.4%
Disgusted 45%
Calm 45.2%
Confused 45.1%

AWS Rekognition

Age 26-44
Gender Female, 50%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Angry 49.8%
Happy 49.5%
Sad 50%
Confused 49.6%

AWS Rekognition

Age 45-66
Gender Male, 50.8%
Disgusted 45%
Happy 45%
Confused 45%
Calm 45%
Angry 45%
Sad 55%
Surprised 45%

AWS Rekognition

Age 38-59
Gender Male, 54.1%
Disgusted 45.1%
Happy 45.2%
Confused 45.5%
Calm 48%
Angry 45.5%
Sad 50.4%
Surprised 45.3%

AWS Rekognition

Age 48-68
Gender Female, 50.8%
Disgusted 45.1%
Angry 45.4%
Happy 46.4%
Surprised 45.2%
Confused 45.2%
Sad 51.8%
Calm 45.8%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.7%
Calm 49.5%
Sad 49.8%
Happy 49.5%
Surprised 49.5%
Disgusted 49.9%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Male, 53.5%
Disgusted 45.2%
Happy 45.2%
Sad 45.4%
Angry 46.1%
Calm 52%
Surprised 45.6%
Confused 45.5%

AWS Rekognition

Age 38-57
Gender Male, 53.4%
Calm 45.7%
Confused 45.3%
Surprised 45.2%
Angry 46.1%
Disgusted 45.2%
Happy 45.1%
Sad 52.4%

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Sad 47.2%
Surprised 45.5%
Happy 45.3%
Disgusted 46.6%
Angry 46.2%
Confused 45.4%
Calm 48.8%

AWS Rekognition

Age 35-52
Gender Male, 51.1%
Calm 45.5%
Angry 45.3%
Disgusted 45.2%
Surprised 45.2%
Happy 45.2%
Confused 45.4%
Sad 53.3%

AWS Rekognition

Age 48-68
Gender Female, 53.2%
Confused 45.3%
Disgusted 45.1%
Angry 45.4%
Calm 46%
Sad 52.9%
Happy 45.2%
Surprised 45.2%

AWS Rekognition

Age 26-44
Gender Male, 53.1%
Calm 45.4%
Confused 45.1%
Surprised 45.1%
Angry 45.3%
Disgusted 45%
Happy 45.1%
Sad 54%

Feature analysis

Amazon

Person 94.8%
Book 94.4%
Painting 63.8%

Categories

Imagga

paintings art 99.8%

Captions

Microsoft
created on 2019-07-02

a room with white walls 27%

Text analysis

Amazon

Femineas
tendit
Regis
prolem
lites
prudentia
habere
Femineas dirimit Regis prudentia lites Vrag. dum prolem tendit habere Fuam. Reg.
Gerard.de
dirimit
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.lode.
Gerard.de .lode. .exad
tot
oyant
Vrag.
Fuam.
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salomon
la
tot AsvarL salomon 3.Reg.cap-3
.exad
AsvarL
3 ys
Reg.
3.Reg.cap-3
sag.
gans sag. e 3 ys
deause
oyant la Llgonndu72 Fur dS deause paillandsy Lns
Fur
ng
Llgonndu72
dS
Lns
e

Google

119 Gerard.de.Iode. exud Femineas dirimit Reais prudentia lites Virag, dm prolem tendit habere fuam. 3.Reg.Cap 3 Orant gans 'du tut nreir.nc, dD T7 /c.3. z8.
119
Gerard.de.Iode.
exud
Femineas
dirimit
Reais
prudentia
lites
Virag,
dm
prolem
tendit
habere
fuam.
3.Reg.Cap
3
Orant
gans
'du
tut
nreir.nc,
dD
T7
/c.3.
z8.