Human Generated Data

Title

The Marriage at Cana
Date

c. 1574
People

Artist: Johannes Wierix, Netherlandish 1549 - c. 1620

Artist after: Gerard van Groeningen, Flemish active late 16th century

Previous attribution: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.228

Human Generated Data

Title

The Marriage at Cana

People

Artist: Johannes Wierix, Netherlandish 1549 - c. 1620

Artist after: Gerard van Groeningen, Flemish active late 16th century

Previous attribution: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1574

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.228

Machine Generated Data

Tags

Amazon
created on 2019-06-26

Human 99.5
Person 99.5
Art 94.4
Person 93.8
Person 93.6
Person 92.7
Painting 89.3
Person 89.3
Person 88.4
Person 87.4
Drawing 80.5
Person 76.5
Person 70.5
Person 60.6
Mural 55.5
Person 54.3

Clarifai
created on 2019-06-26

illustration 99.8
art 99.7
painting 99.6
people 98.7
religion 97.5
print 96.8
saint 96.4
god 94.6
manuscript 93.2
man 93.1
woman 92.9
veil 90.7
adult 90.6
lithograph 90.1
old 89.9
Renaissance 89.7
Gothic 89.5
kneeling 88.9
gown (clothing) 86.8
group 85.6

Imagga
created on 2019-06-26

comic book 72.4
tray 40.7
vintage 34.8
receptacle 33
stamp 32
mail 29.7
postmark 29.6
print media 29
envelope 28.2
container 28
letter 27.5
postage 25.6
retro 24.6
old 24.4
postal 23.6
art 22.8
money 22.1
currency 21.5
printed 20.7
ancient 19.9
circa 19.7
philately 18.8
cash 18.3
post 18.1
shows 17.7
paper 17.3
bank 17
church 15.7
banking 15.6
card 15.3
finance 15.2
one 14.9
aged 14.5
religion 14.3
global 13.7
savings 13.1
antique 13
icon 12.7
painter 12.5
decoration 12.4
painted 12.4
symbol 12.1
close 12
message 11.9
renaissance 11.8
paintings 11.7
cutting 11.6
financial 11.6
communications 11.5
bill 11.4
unique 11.4
dollar 11.1
culture 11.1
note 11
masterpiece 10.9
known 10.9
stamps 10.9
wealth 10.8
delivery 10.7
museum 10.7
window 10.3
book jacket 10.2
black 10.2
post mail 9.9
zigzag 9.9
fame 9.9
history 9.8
business 9.7
banknote 9.7
exchange 9.5
fine 9.5
closeup 9.4
graffito 8.9
canceled 8.9
pattern 8.9
office 8.8
banknotes 8.8
man 8.7
states 8.7
us 8.7
saint 8.7
stained 8.7
god 8.6
design 8.6
grunge 8.5
paint 8.2
collection 8.1
jacket 8
address 7.8
bible 7.8
color 7.8
covering 7.8
letters 7.8
dollars 7.7
artist 7.7
pay 7.7
notes 7.7
china 7.6
united 7.6
frame 7.6
investment 7.3
object 7.3
book 7.3

Google
created on 2019-06-26

Painting 94.1
Art 90.5
Illustration 79
Tapestry 72.5
Textile 71.8
Miniature 70.3
Visual arts 68.6
History 64.5
Modern art 58.3
Watercolor paint 53.8
Middle ages 53.8
Still life 52.9
Icon 52.2
Picture frame 50.2

Microsoft
created on 2019-06-26

text 96.9
drawing 96.4
person 91.5
cartoon 89.9
clothing 83.6
book 68.9
painting 31.9
picture frame 15.2

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 29-45
Gender Female, 50.6%
Calm 47.7%
Surprised 45.2%
Angry 45.2%
Confused 45.2%
Disgusted 45.1%
Happy 45.2%
Sad 51.5%

AWS Rekognition

Age 23-38
Gender Male, 53.7%
Disgusted 45.5%
Calm 47.9%
Angry 45.7%
Happy 45.3%
Confused 46.3%
Sad 47.8%
Surprised 46.6%

AWS Rekognition

Age 45-63
Gender Female, 51.4%
Sad 47.9%
Confused 45.9%
Surprised 45.6%
Disgusted 45.5%
Angry 45.7%
Happy 48.3%
Calm 46.1%

AWS Rekognition

Age 26-44
Gender Female, 52.4%
Surprised 45.1%
Angry 45.2%
Disgusted 45.1%
Happy 45.2%
Calm 46.1%
Confused 45.1%
Sad 53.3%

AWS Rekognition

Age 11-18
Gender Female, 54.9%
Disgusted 45.3%
Happy 45.2%
Angry 45.3%
Surprised 45.4%
Calm 46.5%
Confused 45.3%
Sad 51.9%

AWS Rekognition

Age 23-38
Gender Male, 52.4%
Disgusted 45.1%
Sad 46.8%
Calm 52.7%
Surprised 45.1%
Angry 45.1%
Happy 45%
Confused 45.1%

AWS Rekognition

Age 45-63
Gender Female, 50.3%
Calm 53%
Angry 45.3%
Happy 45.2%
Surprised 45.3%
Disgusted 45.3%
Sad 45.7%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Male, 53.7%
Sad 52.6%
Calm 46.9%
Surprised 45.1%
Confused 45.1%
Angry 45.3%
Happy 45%
Disgusted 45%

AWS Rekognition

Age 35-55
Gender Male, 50.4%
Surprised 49.5%
Angry 49.6%
Sad 50.1%
Disgusted 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Disgusted 45.2%
Confused 45.4%
Surprised 45.2%
Calm 45.7%
Happy 45.2%
Angry 45.7%
Sad 52.7%

AWS Rekognition

Age 38-59
Gender Male, 53.3%
Angry 45.2%
Surprised 45%
Sad 54.6%
Happy 45%
Confused 45%
Calm 45.1%
Disgusted 45%

AWS Rekognition

Age 35-55
Gender Male, 54.1%
Angry 46.2%
Surprised 45.7%
Sad 47.4%
Happy 45.6%
Confused 45.8%
Calm 48.9%
Disgusted 45.3%

Microsoft Cognitive Services

Age 22
Gender Female

Feature analysis

Amazon

Person 99.5%
Painting 89.3%

Text analysis

Amazon

Munere
dignatus
Bacchica
00
ant
foedera
dona
238.
tanto
failly
Et
Et Jacra conigy dignatus foedera tanto eft Munere Bympbas Bacchica dona facit
Jacra
ill
s:fir ana failly
ana
Bympbas
Serdiseipay
a?i3hnr ant gang.
facit
Joann.
conigy
hiz. Joann.
s:fir
allil't
hiz.
a?i3hnr
ill allil't -lla Pesus Serdiseipay
gang.
Pesus
-lla
eft

Google

238
Gerardus
Bacchica
Et
coning
dignatus
et
a
la
peir
ceuchirydiau
n
238 Gerardus de lod p Miunere qui imphas Bacchica dona facit Et Jacra coning dignatus foedera tanto et tin a la peir deda 03ie ceuchirydiau asfihnt n ant failly Srsas
de
lod
p
Miunere
qui
imphas
dona
facit
Jacra
foedera
tanto
tin
deda
03ie
asfihnt
ant
failly
Srsas