Human Generated Data

Title

Susanna Condemned to Death

Date

16th-17th century

People

Artist: Hans Collaert the Younger, Netherlandish 1566-1628

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Classification

Prints

Human Generated Data

Title

Susanna Condemned to Death

People

Artist: Hans Collaert the Younger, Netherlandish 1566-1628

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Date

16th-17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 99.3
Person 99.3
Person 99.3
Person 99
Person 98.2
Painting 98.2
Art 98.2
Person 96.3
Person 61.7
Archangel 61.3
Angel 61.3
Archaeology 56.6

Clarifai

art 99.6
people 99.4
illustration 98.8
man 96.8
group 96.7
print 95.8
saint 95.4
religion 94.8
Renaissance 94.2
adult 92.5
Apostle 90.6
book 90.2
veil 89.7
woman 89.2
sculpture 88.4
crown 88
painting 86.6
cape 86.4
god 86.3
leader 85.9

Imagga

sketch 61.2
drawing 47.5
sculpture 46.2
art 41
representation 36.9
architecture 33
ancient 30.3
statue 29.8
history 28.6
old 27.2
culture 25.7
religion 24.2
antique 23.5
carving 23.1
temple 22.2
monument 20.6
stone 20.3
god 20.1
landmark 19.9
decoration 18.7
building 18.7
famous 18.6
church 16.7
travel 15.5
historical 15.1
tourism 14.9
detail 13.7
city 13.5
spirituality 13.4
baroque 12.7
style 12.6
holy 12.5
vintage 12.4
marble 12.4
religious 12.2
artistic 12.2
symbol 12.1
column 11.9
historic 11.9
relief 11.6
ornate 11
cathedral 10.7
gold 10.7
figure 10.4
ornament 10.3
east 10.3
exterior 10.1
decorative 10
facade 9.9
statues 9.9
museum 9.8
structure 9.7
spiritual 9.6
design 9.6
wall 9.6
door 9.5
capital 9.5
oriental 9.4
money 9.4
painting 9
retro 9
currency 9
roman 8.9
pattern 8.9
palace 8.8
pray 8.7
prayer 8.7
us 8.7
fountain 8.5
dollar 8.4
arch 8.2
tourist 8.2
carvings 7.9
bangkok 7.9
carved 7.8
worship 7.7
tile 7.7
architectural 7.7
faith 7.7
finance 7.6
bronze 7.5
traditional 7.5
decor 7.1

Microsoft

text 99.9
book 99.4
drawing 97.6
sketch 95.8
person 87.5
clothing 78.7
painting 69.4
illustration 69.4
engraving 63.5

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 50.7%
Fear 45%
Sad 45.8%
Disgusted 45%
Happy 45%
Surprised 45%
Calm 54.1%
Confused 45%
Angry 45%

AWS Rekognition

Age 37-55
Gender Male, 54.6%
Confused 45.1%
Calm 46.3%
Sad 47.5%
Angry 45.7%
Fear 45.6%
Surprised 45.1%
Disgusted 49.8%
Happy 45%

AWS Rekognition

Age 30-46
Gender Male, 54.9%
Happy 45%
Calm 54.2%
Confused 45%
Fear 45%
Sad 45.5%
Disgusted 45.1%
Surprised 45%
Angry 45.2%

AWS Rekognition

Age 50-68
Gender Male, 54.6%
Happy 45%
Disgusted 45.2%
Fear 47.5%
Confused 45%
Angry 48.5%
Calm 46.3%
Sad 47.4%
Surprised 45%

AWS Rekognition

Age 23-37
Gender Male, 51.9%
Happy 45%
Disgusted 45%
Sad 45.1%
Calm 54.9%
Angry 45%
Fear 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 13-25
Gender Male, 54.7%
Confused 45%
Fear 45%
Disgusted 45%
Sad 45%
Angry 46.6%
Happy 45%
Calm 53.4%
Surprised 45%

AWS Rekognition

Age 13-23
Gender Male, 53.8%
Happy 46.1%
Confused 45.1%
Disgusted 45.2%
Calm 50.4%
Fear 45.3%
Sad 45.2%
Angry 45.3%
Surprised 47.4%

AWS Rekognition

Age 50-68
Gender Male, 54.3%
Disgusted 45%
Confused 45%
Sad 45.3%
Surprised 45%
Fear 45%
Calm 54.5%
Angry 45.2%
Happy 45%

AWS Rekognition

Age 38-56
Gender Male, 50.3%
Calm 50.3%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.7%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 54.8%
Calm 46.8%
Happy 45%
Disgusted 45.1%
Surprised 45%
Angry 52.1%
Sad 45.7%
Fear 45.2%
Confused 45%

AWS Rekognition

Age 19-31
Gender Female, 50.2%
Angry 50.4%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.3%
Angry 49.7%
Surprised 49.5%
Confused 49.5%
Fear 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 17-29
Gender Male, 50.3%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.5%

AWS Rekognition

Age 50-68
Gender Male, 50.4%
Calm 49.6%
Happy 49.5%
Surprised 49.8%
Fear 49.7%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.8%

AWS Rekognition

Age 17-29
Gender Female, 50.1%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Calm 50.4%
Fear 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 5-15
Gender Female, 50.4%
Calm 49.5%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Fear 50.4%
Confused 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50.1%
Fear 50.2%
Happy 49.5%
Calm 49.6%
Sad 49.5%
Disgusted 49.5%
Surprised 49.6%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 24-38
Gender Male, 53.2%
Calm 54.7%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45%
Happy 45%
Sad 45.3%
Confused 45%

AWS Rekognition

Age 34-50
Gender Male, 54.9%
Calm 50.8%
Happy 45%
Sad 45.2%
Disgusted 45.1%
Confused 45%
Angry 48.2%
Surprised 45.1%
Fear 45.5%

AWS Rekognition

Age 2-8
Gender Female, 50.3%
Disgusted 49.5%
Angry 50.1%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Fear 49.8%
Happy 49.5%
Calm 49.5%

Feature analysis

Amazon

Person 99.3%
Painting 98.2%

Captions

Microsoft

a close up of a book 39.4%
close up of a book 34.6%
a hand holding a book 34.5%

Text analysis

Amazon

udicis
Criminibus
Damnatur
abe
ore,
iniquo
falfis
mortis
fuit
mortis Tine abe fuit Daniel.
que
Daniel.
Criminibus falfis Tul iniquo udicis ore, Damnatur que i3
2
Tine
i3
mo
Tul
mo 2 K c.loisty
c.loisty
K

Google

fub
mortis
Cine
ore,
labe
fuit
Criminibus
falfis
iniquo
Damnatur
fine
Cine Criminibus falfis fub iniquo iudicis ore, Damnatur mortis que fine labe fuit Daniel. i3
iudicis
que
Daniel.
i3