Human Generated Data

Title

King Nebukadnessar Receives Daniel

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 1527 - 1604/23

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, 2011.613.173

Human Generated Data

Title

King Nebukadnessar Receives Daniel

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 1527 - 1604/23

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

before 1576

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-06-25

Painting 98.7
Art 98.7
Person 98.6
Human 98.6
Person 95.4
Person 89.5
Tile 87.7
Mosaic 87.7
Person 87.6
Person 87.6
Person 79.2
Person 78.6
Person 71.6
Person 70.2
Horse 60.9
Animal 60.9
Mammal 60.9
Person 55.4

Clarifai
created on 2019-06-25

people 99.7
painting 99.3
art 99
illustration 97.7
adult 97.3
woman 96.7
group 96.7
religion 95.2
man 94.8
seat 94.5
furniture 93.9
veil 91
room 89.9
print 87.9
indoors 86.2
position 86.1
gown (clothing) 85.5
one 85.4
architecture 85.2
travel 84.7

Imagga
created on 2019-06-25

graffito 100
decoration 70.5
religion 31.4
art 28.6
architecture 25.7
old 25.1
church 25
religious 23.4
culture 22.2
ancient 21.6
mosaic 20.5
god 19.1
temple 18.5
building 18
vintage 17.4
history 17
holy 16.4
faith 16.3
landmark 16.2
colorful 14.3
antique 13.8
historic 13.8
prayer 13.5
travel 13.4
statue 13.3
historical 13.2
sculpture 13.1
spiritual 12.5
interior 12.4
tourism 12.4
window 12.2
detail 12.1
stone 11.8
wall 11.7
sacred 11.7
traditional 11.6
saint 11.5
cathedral 11.5
spirituality 11.5
gold 11.5
painted 11.4
icon 11.1
transducer 11
bible 10.8
tile 10.8
pray 10.7
worship 10.6
golden 10.3
monument 10.3
letter 10.1
symbol 9.4
famous 9.3
city 9.2
ride 9.2
color 8.9
museum 8.6
electrical device 8.3
retro 8.2
structure 8.2
aged 8.1
postmark 7.9
shrine 7.9
postage 7.9
postal 7.9
artistic 7.8
belief 7.8
stamp 7.7
mail 7.7
door 7.6
horse 7.6
destination 7.5
painting 7.2
house 7.2
sky 7

Google
created on 2019-06-25

Microsoft
created on 2019-06-25

painting 98
text 86.5
drawing 85.4
cartoon 83.8
person 75.2
picture frame 15.8

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Calm 50.1%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Sad 49.6%
Happy 49.6%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Angry 49.8%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50%
Surprised 49.5%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Angry 49.9%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Sad 49.8%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%
Calm 49.9%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Surprised 45.3%
Sad 52.3%
Happy 45.4%
Disgusted 45.2%
Confused 45.3%
Calm 46%
Angry 45.5%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Angry 49.7%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Happy 49.7%
Disgusted 49.7%
Calm 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50.6%
Happy 45.1%
Confused 45.1%
Disgusted 45%
Calm 52.4%
Angry 45.2%
Sad 47.1%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Male, 50.1%
Happy 49.5%
Confused 49.5%
Calm 50.2%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Calm 49.6%
Surprised 49.6%
Happy 49.8%
Disgusted 49.6%
Sad 49.8%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Angry 49.6%
Calm 49.5%
Disgusted 49.6%
Surprised 49.5%
Sad 50.2%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.3%
Happy 49.5%
Calm 49.5%
Sad 50.5%
Angry 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Painting 98.7%
Person 98.6%
Horse 60.9%

Captions

Microsoft

a number of animals in a room 26.4%
a room with white walls 25.5%
a crowd of people in a room 25.4%

Text analysis

Amazon

captis
quos
doreat
almis
artibus
queant
Eleait
uuenes,
iuuare
reanum
Eleait captis uuenes, quos artibus almis Re>c doreat reanum qunique iuuare
Daniel
d
9sra19
Ly
ayand
aelode.excu.
Rw d abilons queant Daniel
Re>c
NGerar. aelode.excu.
NGerar.
bausee
qunique
Ly plut bausee ayand 9sra19 Pzi'nr'y
abilons
Pzi'nr'y
Rw
plut

Google

485 Gerar de lode. esc cu . I doceat juvnb m.h yaledPnn Daniel i almis qque Elair NAbaesmoor Ry d Bafiln ayant prs Jrnsalme JuaeSim y dJuda fane eiviv disntn-ly nfnra Rex artibus iuuare reanum captis uuenes, quos cfurr nBalon.. lsqu Po aniL an.2 taarde mituat
esc
.
doceat
m.h
Daniel
i
qque
fane
artibus
captis
uuenes,
an.2
de
lode.
juvnb
yaledPnn
Elair
ayant
Jrnsalme
dJuda
JuaeSim
eiviv
disntn-ly
nfnra
iuuare
cfurr
nBalon..
lsqu
Po
aniL
cu
I
almis
reanum
485
Gerar
NAbaesmoor
Ry
d
Bafiln
prs
y
Rex
quos
taarde
mituat