Human Generated Data

Title

Daniel Feeding the Dragon

Date

before 1576

People

Artist: Joannes van Doetecum, Netherlandish 1528/32 - 1605

Artist: Lucas van Doetecum, Netherlandish active 1554 - 1579/89

Artist after: Hans Vredeman de Vries, Dutch 1525/1526 - 1609

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, 2011.613.177

Human Generated Data

Title

Daniel Feeding the Dragon

People

Artist: Joannes van Doetecum, Netherlandish 1528/32 - 1605

Artist: Lucas van Doetecum, Netherlandish active 1554 - 1579/89

Artist after: Hans Vredeman de Vries, Dutch 1525/1526 - 1609

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

before 1576

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.177

Machine Generated Data

Tags

Amazon
created on 2019-07-03

Human 98.6
Person 98.6
Painting 98.3
Art 98.3
Person 96.6
Person 93.8
Person 93.8
Person 89.3
Person 88.5
Person 86
Person 84.1
Person 80.8
Person 80.2
Person 76.4
Drawing 62.1
Person 60.5
Person 53.9
Person 53.3

Clarifai
created on 2019-07-03

illustration 99.7
art 99.7
painting 99.7
people 98.7
print 98.3
man 95.2
religion 94.8
sword 93.9
old 93.5
saint 93.2
manuscript 93.1
veil 92
ancient 91.7
adult 91
lithograph 90.6
Gothic 90.5
fresco 89.2
group 88.1
woman 87.6
culture 87.3

Imagga
created on 2019-07-03

jigsaw puzzle 67.1
puzzle 53.9
game 39
art 35.3
church 29.6
graffito 29
decoration 27.8
old 26.5
religion 25.1
comic book 23.6
vintage 23.2
culture 21.4
ancient 19.9
stamp 19.4
letter 19.3
architecture 18.8
sketch 18.8
religious 18.7
postmark 18.7
drawing 18.7
postage 18.7
mail 18.2
postal 17.7
holy 16.4
saint 16.4
faith 16.3
god 16.3
window 15.8
antique 15.8
history 15.2
retro 14.8
building 14.7
envelope 14.6
cathedral 14.3
symbol 14.1
spiritual 13.4
colorful 12.9
painter 12.9
historic 12.8
printed 12.8
icon 12.7
mosaic 12.6
paper 12.5
post 12.4
color 12.2
book jacket 12.2
representation 12.2
travel 12
paint 11.8
bible 11.8
painting 11.8
sculpture 11.7
sacred 11.7
prayer 11.6
tourism 11.6
stained 11.5
gold 11.5
global 10.9
glass 10.9
circa 10.9
shows 10.8
landmark 10.8
catholic 10.7
temple 10.7
statue 10.6
painted 10.5
city 10
renaissance 9.8
paintings 9.8
museum 9.7
pray 9.7
detail 9.7
black 9.6
scene 9.5
unique 9.5
jacket 9.5
print media 9.4
structure 9.3
aged 9.1
design 9
masterpiece 8.9
philately 8.9
stamps 8.9
house 8.9
interior 8.8
worship 8.7
grunge 8.5
card 8.5
artwork 8.2
man 8.1
office 8
post mail 7.9
zigzag 7.9
fame 7.9
known 7.9
delivery 7.8
golden 7.7
cutting 7.7
wall 7.7
spirituality 7.7
communications 7.7
fine 7.6
historical 7.5
traditional 7.5
closeup 7.4
altar 7.4
message 7.3
wrapping 7.2

Google
created on 2019-07-03

Microsoft
created on 2019-07-03

drawing 99.2
painting 98.8
cartoon 94.6
sketch 92.1
child art 88.7
illustration 77.7
person 66.1
book 55.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Confused 45.2%
Surprised 45.4%
Angry 45.7%
Happy 45.5%
Sad 45.9%
Disgusted 45.2%
Calm 52.1%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Happy 45.4%
Sad 47.4%
Angry 45.5%
Calm 50.6%
Confused 45.3%
Surprised 45.3%
Disgusted 45.5%

AWS Rekognition

Age 48-68
Gender Male, 50.3%
Calm 50.3%
Happy 45.3%
Angry 46.1%
Surprised 45.7%
Sad 46.8%
Disgusted 45.3%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Sad 50.4%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Calm 50.3%
Surprised 45.2%
Happy 45.1%
Angry 47.3%
Sad 46.8%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 52.5%
Calm 53.6%
Angry 45.4%
Disgusted 45.4%
Surprised 45.2%
Happy 45.1%
Sad 45.1%
Confused 45.1%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Angry 49.6%
Happy 49.5%
Sad 49.8%
Surprised 49.5%
Disgusted 49.5%
Calm 50.1%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Surprised 45.3%
Disgusted 45.1%
Sad 47.4%
Happy 45.9%
Calm 50.5%
Confused 45.1%
Angry 45.7%

AWS Rekognition

Age 38-59
Gender Male, 52.3%
Happy 45.1%
Angry 45.2%
Confused 45.1%
Sad 45.2%
Calm 54.4%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 12-22
Gender Female, 52%
Confused 45.3%
Sad 48%
Disgusted 45.4%
Happy 45.1%
Angry 46%
Surprised 45.3%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Angry 46.7%
Disgusted 45.3%
Calm 47.1%
Confused 45.3%
Sad 49.8%
Happy 45.2%
Surprised 45.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Sad 49.7%
Calm 50%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 50%
Confused 49.6%
Surprised 49.5%
Calm 49.6%
Sad 49.7%
Happy 49.5%
Angry 49.6%

Feature analysis

Amazon

Person 98.6%
Painting 98.3%

Categories

Captions

Microsoft
created on 2019-07-03

a close up of a rug 30.2%

Text analysis

Amazon

moritur
Numinis
Bablonicus
Obiecta
conftat
ofa
ferpens
Damclis
Obiecta ferpens moritur Bablonicus ofa Numinis hie in eo conftat addefe nihil.
eo
in
nihil.
addefe
Dan
Aut
lyBat:lni'nt
DaniA Dan =6.
Caniy
HNU
DaniA
mimn
aihg l
Caniy .couur: aihg l
Cagom
mimn ECR RERSY
.couur:
hie
ECR RERSY
=6.
ve.y
Msant

Google

187 Obiecta ferpens moritur Babylonicus offa, Numinis hmcin eo conftat addeße nihil Daniclis. i4 3. aeri s. Dan 14. ZI dutr i4. 26 Dan
187
Obiecta
ferpens
moritur
Babylonicus
offa,
Numinis
hmcin
eo
conftat
addeße
nihil
Daniclis.
i4
3.
aeri
s.
Dan
14.
ZI
dutr
i4.
26