Human Generated Data

Title

The Elders Accusing Susanna of Adultery

Date

c. 1579

People

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

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591

Classification

Prints

Human Generated Data

Title

The Elders Accusing Susanna of Adultery

People

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

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1579

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 99.2
Human 99.2
Person 99.2
Person 98.9
Person 98.4
Art 97.5
Person 95.9
Person 88.1
Book 85.1
Painting 70.7
Person 66.9
Person 59.3

Clarifai

art 99
religion 98.3
people 97.3
illustration 97.2
saint 96.8
god 96.6
painting 96.2
woman 95.7
book 93.4
holy 92
veil 91.3
man 91.3
cape 90.6
Mary 90.4
church 90.3
gown (clothing) 88.5
aura 87.4
Gothic 87.3
kneeling 86.5
sculpture 85.8

Imagga

graffito 100
decoration 100
old 30
vintage 25.6
letter 22
retro 21.3
stamp 20.8
paper 20.4
grunge 19.6
art 19.5
mail 19.1
postmark 18.7
postage 17.7
money 17
postal 16.7
ancient 16.4
post 15.3
currency 15.3
antique 14.7
note 14.7
aged 13.6
finance 13.5
history 13.4
cash 12.8
envelope 12.7
design 12.6
texture 12.5
card 11.9
wall 11.3
church 11.1
global 10.9
philately 10.9
frame 10.8
symbol 10.8
religion 10.8
colorful 10.7
culture 10.3
message 10
circa 9.9
stamps 9.9
world 9.7
business 9.7
bill 9.5
wood 9.2
artwork 9.2
paint 9.1
dirty 9
bank 9
financial 8.9
office 8.8
god 8.6
exchange 8.6
banking 8.3
gold 8.2
pattern 8.2
collection 8.1
detail 8
printed 7.9
black 7.8
drawing 7.7
holy 7.7
used 7.7
international 7.6
communication 7.6
savings 7.5
dollar 7.4
greeting 7.4
object 7.3
color 7.2
wealth 7.2
travel 7

Google

Microsoft

painting 99.4
text 93.9
drawing 92.4
person 81.7
cartoon 78.4
manuscript 64.9
stationary 62.8
clothing 60.1
picture frame 31.2

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Calm 49.2%
Angry 45.7%
Sad 46.8%
Happy 45.1%
Confused 45.5%
Disgusted 45.5%
Surprised 47.2%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Disgusted 45.4%
Sad 52.7%
Calm 45.7%
Angry 45.4%
Happy 45.1%
Confused 45.4%
Surprised 45.2%

AWS Rekognition

Age 60-90
Gender Female, 50.9%
Angry 47.7%
Calm 47.4%
Confused 45.5%
Happy 45.3%
Sad 47.2%
Surprised 45.3%
Disgusted 46.7%

AWS Rekognition

Age 57-77
Gender Male, 54.2%
Angry 46%
Sad 45.5%
Happy 45.3%
Confused 45.2%
Disgusted 45.5%
Calm 52.2%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Male, 54%
Angry 46.1%
Disgusted 45.6%
Calm 49.4%
Sad 46.6%
Surprised 45.4%
Happy 46.6%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Female, 52.9%
Disgusted 45.1%
Angry 46%
Calm 45.5%
Confused 45.2%
Surprised 45.2%
Happy 45.2%
Sad 52.9%

AWS Rekognition

Age 26-43
Gender Female, 52.3%
Calm 46.4%
Confused 45.3%
Sad 49.4%
Happy 46.4%
Angry 46.1%
Disgusted 45.7%
Surprised 45.6%

AWS Rekognition

Age 35-52
Gender Male, 50.9%
Sad 47.1%
Surprised 46.1%
Happy 45.8%
Disgusted 45.4%
Angry 46.9%
Calm 48.1%
Confused 45.5%

AWS Rekognition

Age 48-68
Gender Female, 52.2%
Calm 54.3%
Angry 45.1%
Happy 45.1%
Surprised 45.1%
Disgusted 45.1%
Sad 45.1%
Confused 45.1%

AWS Rekognition

Age 57-77
Gender Female, 51.2%
Confused 45.4%
Calm 50.1%
Disgusted 45.3%
Happy 45.1%
Angry 45.9%
Sad 47.8%
Surprised 45.4%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Sad 49.5%
Happy 50.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50%
Calm 49.7%
Confused 49.5%
Sad 49.6%
Happy 49.9%
Angry 49.5%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 48-68
Gender Male, 51.6%
Angry 45.3%
Disgusted 46.9%
Calm 45.1%
Sad 51.6%
Surprised 45.2%
Happy 45.7%
Confused 45.2%

AWS Rekognition

Age 38-59
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.5%
Happy 49.8%
Sad 50.1%
Confused 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.3%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 50%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.6%
Calm 49.5%
Happy 49.6%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.7%
Sad 46.4%
Calm 46.4%
Disgusted 45.6%
Happy 48.8%
Surprised 45.8%
Angry 46.6%
Confused 45.4%

AWS Rekognition

Age 35-55
Gender Female, 50.2%
Surprised 49.5%
Calm 49.6%
Disgusted 50.3%
Happy 49.5%
Sad 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 60-90
Gender Male, 50.2%
Disgusted 45.1%
Angry 45.4%
Happy 45%
Sad 53.7%
Confused 45.2%
Calm 45.5%
Surprised 45.2%

Feature analysis

Amazon

Person 99.2%
Book 85.1%
Painting 70.7%

Captions

Microsoft

a close up of a box 31.1%

Text analysis

Amazon

Criminibus
Damnatur
mortis
Daniel
iudicis
ore,
Dan
que
iniguo
fuit
falfis
fuit Danicl. i3 Daniel
Criminibus falfis Fut iniguo iudicis ore, Damnatur mortis que ine Tabe
Tabe
3.
Danicl. i3
ine
cuannst:
Jnnoarkc
1go
Susannc
Susannc Jnnoarkc cuannst: muz fouse Dan.13. Dan 3. 4r
4r
fouse
Dan.13.
Fut
muz
t

Google

Daniel, 13 Damnatur mortis que fine labe fuit Criminbus falfis fub iniquo iudicis ore Dan v3. AI Susan Jnnoarh f cnanima a'mory ur
mortis
fine
iniquo
Susan
Daniel,
labe
fub
ore
cnanima
13
fuit
v3.
Jnnoarh
Damnatur
que
Criminbus
falfis
iudicis
Dan
f
ur
AI
a'mory