Human Generated Data

Title

"Ladies and Gentlemen! The Faces of Money . . ."

Date

1836

People

Artist: Honoré-Victorin Daumier, French 1808-1879

Classification

Prints

Human Generated Data

Title

"Ladies and Gentlemen! The Faces of Money . . ."

People

Artist: Honoré-Victorin Daumier, French 1808-1879

Date

1836

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 97.2
Person 96.2
Human 96.2
Poster 92.3
Advertisement 92.3
Person 84.2
Drawing 83.4
Painting 79.8
Sculpture 77.2
Person 77.1
Archaeology 67.7
Sketch 64.2
Person 62.3
Person 51.8

Clarifai

people 99.8
illustration 99.3
art 99.1
man 98.7
adult 98.1
print 95.7
two 95.2
leader 94.1
engraving 93
one 92.6
saint 90.4
portrait 90.1
religion 88.3
painting 87.9
veil 86.5
administration 86.4
facial hair 86.4
woman 85.7
group 85.5
sit 82.7

Imagga

sketch 94.8
drawing 69.6
representation 58.9
sculpture 36
art 31.2
statue 30.5
history 26.9
ancient 26
monument 24.3
architecture 23.6
old 20.9
religion 20.6
culture 20.5
stone 20.5
decoration 19.9
carving 19.2
landmark 18.1
travel 16.9
famous 16.8
tourism 16.5
historical 16
city 15.8
vintage 15.7
temple 15.3
marble 13.9
figure 13.2
book jacket 13
historic 12.8
graffito 12.8
building 12.7
antique 12.6
stamp 12.3
museum 11.7
comic book 11.5
religious 11.3
symbol 10.8
mail 10.5
detail 10.5
church 10.2
jacket 10.1
tourist 10
postmark 9.9
retro 9.8
postage 9.8
postal 9.8
god 9.6
artistic 9.6
post 9.5
letter 9.2
design 9.2
column 9.1
currency 9
carved 8.8
spirituality 8.7
paper 8.6
capital 8.5
bronze 8.5
memorial 8.3
artwork 8.3
holiday 7.9
angel 7.8
king 7.8
palace 7.7
holy 7.7
wrapping 7.7
money 7.7
traditional 7.5
destination 7.5
one 7.5
rich 7.4
man 7.4
exterior 7.4
structure 7.3
face 7.1

Microsoft

text 100
drawing 99.3
sketch 99.2
book 98.9
cartoon 92.8
person 76.4
painting 71.4
clothing 63.3
illustration 53.1
engraving 52

Face analysis

Amazon

Google

AWS Rekognition

Age 39-57
Gender Male, 53.9%
Calm 54.6%
Angry 45%
Surprised 45%
Fear 45%
Sad 45.1%
Happy 45.2%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 24-38
Gender Female, 51%
Angry 45.7%
Calm 47%
Fear 45.4%
Surprised 45.6%
Disgusted 46%
Happy 45.3%
Confused 45.5%
Sad 49.4%

AWS Rekognition

Age 26-42
Gender Male, 54.3%
Disgusted 45%
Fear 45%
Happy 45%
Calm 47%
Surprised 52.7%
Angry 45.1%
Confused 45%
Sad 45%

AWS Rekognition

Age 30-46
Gender Male, 51.6%
Confused 45.1%
Surprised 45.1%
Happy 46.1%
Calm 52%
Disgusted 46.4%
Fear 45%
Sad 45.1%
Angry 45.1%

AWS Rekognition

Age 42-60
Gender Male, 79.6%
Fear 0.3%
Calm 95.6%
Confused 0.4%
Sad 0.6%
Angry 1%
Disgusted 0.1%
Happy 0.2%
Surprised 1.7%

AWS Rekognition

Age 22-34
Gender Male, 51.7%
Happy 46.1%
Surprised 45.1%
Confused 45.1%
Calm 47.7%
Angry 49.4%
Sad 46.6%
Fear 45%
Disgusted 45%

AWS Rekognition

Age 23-35
Gender Male, 54.8%
Confused 45%
Angry 45%
Fear 45%
Disgusted 45%
Sad 45%
Happy 45%
Calm 54.7%
Surprised 45.3%

Google Vision

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

Feature analysis

Amazon

Person 96.2%
Poster 92.3%

Captions

Microsoft

a close up of a book 44.7%
a close up of a person holding a book 27.1%
a person holding a book 27%

Text analysis

Amazon

el
aclion
Ofoessieuis
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Ofoessieuis el Ounes
ggs
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masgme
aclien aclion 250
douwant
aclien
der
nnde
Ounes
250
PH
ene
masgme EFVF maties dorelhe nnde tle wlatorthe
daigentths
tle
as
wlatorthe
ene amgndl pei
pei
as 1211NA daigentths 0G der bes INF douwant
INF
1211NA
EFVF
amgndl
dorelhe
bes
0G
o

Google

clio
adion
netiond
loessieuis
l
de
25
e
wt
mt
pr
smanche
minesd
el
Oames
aene
Memurs
360
93S clio 25 adion netiond 250 Ms minesd aigent l loessieuis el Oames vine der l mines de dmant e wt ge de laet aene enorte mt de lalale bedin pr dessus le smanche Hns aetios Memurs e e de 360
Ms
mines
laet
enorte
lalale
Hns
93S
250
aigent
vine
der
dmant
ge
bedin
dessus
le
aetios