Human Generated Data

Title

Esther before Ahasuerus

Date

c. 1579

People

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

Artist after: Jan Snellinck, Flemish c. 1544 - 1638

Publisher: Gerard de Jode, Flemish 1509 - 1591

Classification

Prints

Human Generated Data

Title

Esther before Ahasuerus

People

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

Artist after: Jan Snellinck, Flemish c. 1544 - 1638

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1579

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 98.7
Person 98.7
Art 95.2
Painting 95.2
Person 93.2
Animal 91.6
Bird 91.6
Person 89.9
Person 86.4
Person 83
Person 81.5
Person 77
Person 72.6
Drawing 65.6
Soil 58.4
Person 57.3

Clarifai

art 99.8
painting 99.7
illustration 99.4
people 99.3
saint 98.6
religion 98.3
woman 97.2
Renaissance 96.7
book 96.6
veil 96.3
baby 95.9
print 95.9
man 95.3
group 95
book series 94.4
god 94.2
gown (clothing) 93.5
Gothic 93.4
Mary 93.3
kneeling 93

Imagga

comic book 47.4
money 41.7
currency 40.4
dollar 36.2
cash 33.9
finance 30.4
bank 28.7
paper 27.4
wealth 26
bill 25.7
business 24.9
book jacket 24.9
banking 24.8
dollars 24.1
financial 23.2
savings 22.4
hundred 20.3
art 20.3
one 20.2
jacket 19.4
print media 18.9
church 18.5
exchange 18.1
close 17.7
investment 17.4
vintage 16.5
product 16.2
old 16
postmark 15.8
stamp 15.6
letter 15.6
bills 15.5
banknote 15.5
mail 15.3
book 15.1
franklin 14.8
postage 14.7
wrapping 14.7
note 14.7
us 14.5
pay 14.4
religion 14.3
symbol 14.1
postal 13.7
states 13.5
envelope 13.5
loan 13.4
creation 13.1
economy 13
finances 12.5
post 12.4
painter 12.2
culture 12
payment 11.5
faith 11.5
covering 10.9
printed 10.8
closeup 10.8
bible 10.8
saint 10.6
sign 10.5
united 10.5
success 10.5
religious 10.3
circa 9.9
shows 9.9
banknotes 9.8
detail 9.7
holy 9.6
icon 9.5
rich 9.3
bookmark 9.1
office 9.1
treasury 8.9
philately 8.9
market 8.9
value 8.7
prayer 8.7
debt 8.7
ancient 8.6
notes 8.6
god 8.6
profit 8.6
museum 8.6
capital 8.5
card 8.5
black 8.4
retro 8.2
man 8.1
object 8.1
masterpiece 7.9
colorful 7.9
twenty 7.9
wages 7.8
funds 7.8
antique 7.8
color 7.8
rate 7.8
paying 7.8
economic 7.7
golden 7.7
buy 7.5
number 7.5
message 7.3
portrait 7.1
face 7.1
decoration 7.1

Google

Microsoft

cartoon 93.6
person 90.7
drawing 87.8
clothing 87.5
book 84.3
manuscript 76.3
gallery 72.5
woman 62.3
room 47.9
picture frame 28.3
decorated 25.1
painting 15.4

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Sad 55%
Surprised 45%
Angry 45%
Disgusted 45%
Confused 45%
Happy 45%
Calm 45%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Surprised 47.2%
Happy 45.2%
Disgusted 45.2%
Sad 50.8%
Calm 46.2%
Confused 45.2%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Male, 51.1%
Calm 47.1%
Surprised 45.6%
Sad 48.8%
Angry 45.8%
Happy 45.6%
Disgusted 46.8%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.3%
Happy 45.5%
Confused 45.9%
Angry 45.6%
Calm 51.1%
Surprised 45.4%
Sad 46.2%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Angry 45.8%
Disgusted 45.3%
Surprised 45.5%
Happy 45.6%
Sad 49.9%
Confused 45.6%
Calm 47.3%

AWS Rekognition

Age 48-68
Gender Male, 54.8%
Happy 45.1%
Calm 54.2%
Disgusted 45%
Surprised 45.2%
Sad 45.2%
Confused 45.2%
Angry 45.1%

AWS Rekognition

Age 26-44
Gender Male, 50.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.8%
Calm 49.6%
Sad 49.7%
Happy 49.5%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.3%
Angry 46.5%
Happy 45.7%
Surprised 45.6%
Sad 47%
Calm 49.8%
Disgusted 45.1%

AWS Rekognition

Age 60-80
Gender Male, 54.4%
Happy 45.6%
Confused 46.1%
Angry 46.5%
Calm 48.3%
Disgusted 45.2%
Surprised 45.5%
Sad 47.7%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Calm 49.5%
Confused 49.5%
Sad 50.4%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.6%
Angry 49.7%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 51.9%
Calm 46.1%
Sad 50.4%
Disgusted 45.5%
Happy 45.7%
Angry 46.7%
Surprised 45.4%
Confused 45.3%

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 28
Gender Female

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 Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.7%
Painting 95.2%
Bird 91.6%

Captions

Microsoft

a close up of a decorated wall 39.1%

Text analysis

Amazon

regem,
ed
Pectore
alma
Coneniens
ad
Pectore follicito ed non
uocat.
trifhi ornne regem, Coneniens Ester fercula ad alma uocat.
follicito
non
Ester
trifhi
fercula
Aman
ornne
lin
drmiv
5
om'cyy
Er Jnun Aman 5
S4
Er
drmiv I lin om'cyy ta
Jnun
ta
I

Google

54
Conueniens
fercula
6.
Comme
mifm
Aur
follicito
fed
regem,
Otnne
ton
ta
br
em.ymiy
54 Pertore follicito fed frifti regem, Conueniens Ester fercula ad alma vocat . Hefter.cap.5. 6. non Otnne 1. trouu a ton ban d'dman Sormitur Comme a ta br evmman em.ymiy par mifm Cpar Aur pon SA drithr
frifti
Ester
vocat
1.
trouu
d'dman
Sormitur
pon
SA
Pertore
non
a
evmman
Cpar
drithr
ad
alma
.
Hefter.cap.5.
ban
par