Human Generated Data

Title

Daniel Intervening on Behalf of Susanna

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

Daniel Intervening on Behalf of Susanna

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 99.4
Human 99.4
Person 99.3
Person 99.3
Person 99.1
Person 98.8
Art 97.2
Person 96.4
Person 94.6
Painting 71.8
Drawing 59

Clarifai

art 99.5
painting 99.4
people 99.4
illustration 98.7
print 98.6
saint 97.3
Renaissance 96.5
religion 96.2
man 95
woman 94.6
book 93.7
adult 92.9
lithograph 91.7
cape 91.6
old 91.4
group 89.6
Gothic 89.4
manuscript 88.1
gown (clothing) 87.8
kneeling 86.5

Imagga

graffito 47.3
money 39.1
currency 35.9
cash 35.7
decoration 33
dollar 32.5
paper 28.2
bank 26.9
finance 26.2
business 24.9
bill 24.7
book jacket 21.5
financial 21.4
dollars 21.2
banking 21.1
old 20.9
postmark 20.7
wealth 20.6
postage 20.6
art 20.6
stamp 20.3
letter 20.2
mail 20.1
postal 19.6
savings 19.6
exchange 19.1
vintage 19
comic book 19
note 18.4
close 17.7
envelope 17
jacket 16.7
hundred 16.5
us 16.4
post 16.2
church 15.7
bills 15.5
pay 15.3
one 14.9
ancient 14.7
brass 14.7
loan 14.4
structure 14.3
philately 13.8
card 13.6
retro 13.1
investment 12.8
printed 12.8
wrapping 12.7
religion 12.5
notes 12.5
office 12.3
circa 11.8
payment 11.5
god 11.5
antique 11.2
memorial 11.2
economy 11.1
shows 10.8
franklin 10.8
closeup 10.8
symbol 10.8
banknotes 10.8
history 10.7
banknote 10.7
rich 10.2
message 10
global 10
economic 9.7
states 9.7
finances 9.6
product 9.6
profit 9.6
covering 9.1
sculpture 9.1
aged 9
address 8.8
funds 8.8
bible 8.8
object 8.8
painter 8.8
museum 8.7
debt 8.7
saint 8.7
change 8.7
faith 8.6
save 8.5
religious 8.4
black 8.4
sign 8.3
man 8.1
detail 8
daily 8
post office 7.9
stamps 7.9
salary 7.9
wages 7.8
creation 7.8
newspaper 7.8
prayer 7.7
holy 7.7
culture 7.7
sales 7.7
price 7.7
cathedral 7.7
communications 7.7
unique 7.6
print media 7.6
billboard 7.5
color 7.2
icon 7.1
market 7.1

Google

Microsoft

painting 98.4
text 98
drawing 94.9
book 88.1
person 85.5
cartoon 84.5
clothing 76.8
manuscript 75.5
gallery 74.2
illustration 50.2
picture frame 36.5

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Disgusted 45.2%
Angry 46.1%
Calm 47.7%
Surprised 45.4%
Confused 45.8%
Sad 49.5%
Happy 45.1%

AWS Rekognition

Age 48-68
Gender Male, 54%
Disgusted 45.1%
Sad 46.9%
Happy 45.2%
Confused 45.2%
Angry 45.8%
Surprised 45.2%
Calm 51.5%

AWS Rekognition

Age 20-38
Gender Male, 53.5%
Angry 46%
Surprised 46%
Sad 48.2%
Calm 47.6%
Disgusted 45.7%
Happy 45.8%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 53.6%
Confused 45.2%
Disgusted 45.1%
Angry 45.1%
Happy 45.1%
Sad 54.1%
Calm 45.3%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Female, 53.6%
Confused 45.3%
Sad 50.7%
Surprised 45.5%
Disgusted 45.2%
Calm 45.9%
Angry 46.6%
Happy 46%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Angry 45.2%
Surprised 45.1%
Sad 54%
Confused 45.2%
Happy 45%
Disgusted 45.1%
Calm 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.4%
Surprised 45.2%
Confused 46.1%
Happy 45.1%
Angry 46.3%
Calm 49.8%
Disgusted 45.1%
Sad 47.3%

AWS Rekognition

Age 23-38
Gender Female, 54.9%
Sad 50.7%
Calm 45.8%
Happy 45.1%
Angry 46%
Confused 45.7%
Disgusted 45%
Surprised 46.7%

AWS Rekognition

Age 35-52
Gender Female, 53.5%
Surprised 46.5%
Confused 45.2%
Angry 46.7%
Disgusted 45.2%
Sad 49.8%
Calm 45.3%
Happy 46.2%

AWS Rekognition

Age 23-38
Gender Female, 50.6%
Angry 45.3%
Sad 53.9%
Happy 45%
Surprised 45.1%
Calm 45.4%
Disgusted 45%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Male, 53.7%
Sad 46.1%
Happy 47.8%
Calm 49.4%
Surprised 45.4%
Confused 45.2%
Angry 46%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Female, 52.2%
Disgusted 45.1%
Sad 49.1%
Calm 45.1%
Surprised 45.2%
Angry 49.8%
Happy 45.5%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50.6%
Disgusted 45.1%
Happy 45.3%
Sad 49.7%
Angry 45.6%
Surprised 46.4%
Confused 45.5%
Calm 47.6%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Surprised 45.2%
Sad 52.9%
Happy 45.3%
Disgusted 45.5%
Confused 45.3%
Calm 45.3%
Angry 45.5%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Surprised 49.5%
Sad 49.9%
Disgusted 49.6%
Calm 49.5%
Confused 49.5%
Happy 49.8%
Angry 49.7%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Sad 50.4%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.4%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 53.2%
Happy 45.3%
Confused 45.6%
Disgusted 45.2%
Calm 47.7%
Angry 46.2%
Sad 49.2%
Surprised 45.7%

AWS Rekognition

Age 57-77
Gender Male, 50.9%
Angry 46.7%
Disgusted 46.6%
Confused 45.5%
Surprised 45.9%
Sad 47.2%
Calm 46.1%
Happy 47.1%

AWS Rekognition

Age 4-9
Gender Female, 50%
Angry 49.5%
Surprised 49.6%
Sad 49.7%
Calm 49.5%
Disgusted 49.9%
Happy 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.5%
Calm 50%
Disgusted 49.5%
Confused 49.5%
Sad 49.8%
Angry 49.5%
Surprised 49.5%

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 25
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.4%
Painting 71.8%

Captions

Microsoft

a close up of text on a white surface 38.1%
a close up of text on a wall 38%
a close up of text on a white background 37.7%

Text analysis

Amazon

libera
facta
Ni
foret
ope
Sufanna
Daniel's
damnata
irant
nomme
Fnlufte damnata Uiris Sufanna yeriBet, Ni Daniel's ope libera facta foret Daniel.
3.45.
Uiris
mnoit
sycru
Minty
Daniel.
9
2dit)
mmo.
yeriBet,
signcier
sany
outill
Minty auun mnoit signcier outill lyprie, nomme Danicl 2dit)
i fol
lyprie,
dii.
Jugrh",
lut sycru Saulhe irant Jmnur.snd 9 mmo.
cnfan
Jugrh", Gun+9. giym) Danel 3.45.
Saulhe
Gun+9.
lafu
Fnlufte
Danel
iny 2ous i fol cnfan lafu
giym)
Danicl
auun
iny
Jmnur.snd
2ous
lut

Google

Iiufte
dun
Sutanne
miter
Jmectnt
preplo
IeF Ni Danielis ope libera facta foret Daniel i3 viris Sufannaperi├čet Iiufte damnata dun Jrun nfant insy guon mnot Sutanne adam ort miter usill nomm Saulie, zantge uis Jmectnt sanyam tut l preplo s 3 wrratou ! artunn ant rt Vous i Jans ausr eamin unnu car e
foret
Sufannaperi├čet
insy
ort
usill
zantge
ausr
eamin
Ni
ope
i3
damnata
nomm
uis
l
s
3
ant
Jans
unnu
Danielis
viris
Jrun
nfant
mnot
Saulie,
Vous
car
e
IeF
libera
facta
Daniel
guon
adam
sanyam
tut
wrratou
!
artunn
rt
i