Human Generated Data

Title

The Raising of Lazarus

Date

16th-17th century

People

Artist: Jan Harmensz. Muller, Dutch 1571 - 1628

Artist after: Abraham Bloemaert, Dutch 1566 - 1651

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R1970

Human Generated Data

Title

The Raising of Lazarus

People

Artist: Jan Harmensz. Muller, Dutch 1571 - 1628

Artist after: Abraham Bloemaert, Dutch 1566 - 1651

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, R1970

Machine Generated Data

Tags

Amazon
created on 2019-10-30

Person 99
Human 99
Art 98.6
Painting 98.6
Person 94.4
Person 90
Person 89.5
Person 86.3
Person 84.5
Person 47.1

Clarifai
created on 2019-10-30

people 100
group 99.8
art 99.7
many 98.9
adult 98
print 96.9
man 96.6
military 96.4
kneeling 96.3
soldier 96.2
baby 95.8
pain 95.5
engraving 94.5
child 94.3
woman 94.2
war 92.9
book 91.4
religion 91.3
illustration 90.2
painting 88.7

Imagga
created on 2019-10-30

sculpture 95.9
carving 71.6
art 50.9
statue 42.2
architecture 39.4
plastic art 35.1
religion 32.3
ancient 31.2
temple 29.5
stone 27.4
history 26.9
old 26.5
figure 26
monument 25.2
culture 23.1
decoration 22.9
comic book 22.1
religious 21.6
travel 20.4
church 20.4
god 20.1
building 19.9
famous 19.6
tourism 19
fountain 18.9
landmark 18.1
city 16.6
spirituality 16.3
cemetery 15.7
holy 15.4
structure 15.1
historical 15.1
column 14.8
historic 14.7
detail 14.5
spiritual 14.4
antique 14.4
graffito 14.1
museum 13.1
carved 12.7
tourist 12.7
exterior 12
catholic 11.7
facade 11.7
worship 11.6
marble 11.5
faith 11.5
statues 10.8
heritage 10.6
palace 10.6
cathedral 10.6
roman 10
door 9.5
design 9.4
east 9.3
print media 8.8
pray 8.7
golden 8.6
oriental 8.5
china 8.5
gold 8.2
relief 8.1
carvings 7.9
holiday 7.9
lion 7.8
architectural 7.7
traditional 7.5
style 7.4
symbol 7.4

Google
created on 2019-10-30

Microsoft
created on 2019-10-30

text 100
book 99.9
painting 96.6
person 93.3
outdoor 91.1
clothing 90.4
drawing 90
posing 88
group 84
man 74.7
old 67.6
sketch 65.7
art 56.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-43
Gender Female, 51.6%
Fear 45%
Angry 55%
Disgusted 45%
Calm 45%
Confused 45%
Surprised 45%
Sad 45%
Happy 45%

AWS Rekognition

Age 43-61
Gender Male, 54.2%
Disgusted 45.1%
Calm 48.1%
Sad 51%
Angry 45.7%
Fear 45.1%
Surprised 45%
Confused 45%
Happy 45%

AWS Rekognition

Age 23-35
Gender Male, 51.7%
Confused 45.1%
Fear 45.3%
Angry 49.3%
Happy 45.4%
Sad 48.1%
Disgusted 45%
Calm 46.7%
Surprised 45.1%

AWS Rekognition

Age 30-46
Gender Male, 54%
Happy 45%
Angry 46.2%
Surprised 45%
Sad 53.7%
Disgusted 45%
Confused 45%
Fear 45.1%
Calm 45.1%

AWS Rekognition

Age 38-56
Gender Female, 50.9%
Calm 50.6%
Sad 49.3%
Disgusted 45%
Confused 45%
Surprised 45%
Angry 45%
Fear 45%
Happy 45%

AWS Rekognition

Age 16-28
Gender Male, 50.6%
Angry 45%
Fear 45%
Happy 45%
Disgusted 45%
Calm 54.4%
Confused 45%
Sad 45.6%
Surprised 45%

AWS Rekognition

Age 20-32
Gender Male, 51.9%
Happy 45.1%
Angry 46.7%
Sad 45.7%
Surprised 45.3%
Disgusted 45.1%
Calm 51.9%
Confused 45.1%
Fear 45.1%

AWS Rekognition

Age 39-57
Gender Female, 51.9%
Surprised 45%
Disgusted 45%
Sad 50.5%
Fear 45.2%
Happy 45%
Calm 49.2%
Angry 45%
Confused 45%

AWS Rekognition

Age 35-51
Gender Male, 54.3%
Happy 45%
Fear 45%
Sad 45%
Calm 54.5%
Confused 45%
Disgusted 45.1%
Angry 45.3%
Surprised 45%

AWS Rekognition

Age 16-28
Gender Male, 54.6%
Sad 45.5%
Surprised 45.1%
Confused 45%
Calm 53.8%
Fear 45.3%
Disgusted 45%
Happy 45.1%
Angry 45.2%

AWS Rekognition

Age 25-39
Gender Male, 50.5%
Happy 49.5%
Calm 49.6%
Angry 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%

AWS Rekognition

Age 14-26
Gender Male, 51.4%
Fear 45.2%
Happy 45.3%
Angry 47%
Surprised 45.1%
Confused 45.3%
Calm 48.1%
Sad 48.3%
Disgusted 45.6%

Feature analysis

Amazon

Person 99%
Painting 98.6%

Text analysis

Amazon

ens
.cidil
atre
aten
ond
Sicrite:
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'fceus:
ShaC.e ir ond frerit .cidil Sicrite: ens mAL uet-t 8ing IGend
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aten 'fceus: nilee E, MM atre au Ae feits O4xte ALED ISIA.
mAL
ShaC.e
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uet-t
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ir
ALED
au

Google

den
farn
pccateun
atre
calanet
aiafrixdarat, Sacynate den farn difh pccateun mcatcn reac Yeechu acrrlcat , tam atre calanet
aiafrixdarat,
Sacynate
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mcatcn
reac
Yeechu
acrrlcat
,
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