Human Generated Data

Title

Penitence

Date

17th century

People

Artist: Benoît Audran the Elder, French 1661 - 1721

Artist after: Nicolas Poussin, French 1594 - 1665

Classification

Prints

Human Generated Data

Title

Penitence

People

Artist: Benoît Audran the Elder, French 1661 - 1721

Artist after: Nicolas Poussin, French 1594 - 1665

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 99.7
Painting 99.7
Person 96.6
Human 96.6
Person 96.3
Person 88.2
Person 88.1
Person 87.4
Person 79.8
Person 78.7
Person 78.6
Person 77
Person 61
Room 55.9
Court 55.9
Indoors 55.9
Person 49.8

Clarifai

people 99.9
group 99
art 98.5
adult 98.4
many 98.1
print 97.2
man 97.2
administration 96.8
illustration 96.5
leader 93.3
woman 90.1
weapon 89.7
sword 88.3
cavalry 88
soldier 88
furniture 87.7
military 86.8
war 86.8
one 86.6
baroque 86.3

Imagga

sketch 43.3
drawing 36.6
balcony 32.4
architecture 29.3
sculpture 27.3
representation 27.3
menorah 26.7
old 24.4
building 23.4
history 23.3
art 22.7
landmark 22.6
candelabrum 21.4
statue 20.9
ancient 20.8
structure 19.1
money 18.7
monument 17.7
famous 17.7
candlestick 16
currency 15.2
rich 14.9
cash 14.6
dollar 13.9
historic 13.7
antique 13.7
finance 13.5
stone 13.5
bank 13.4
city 13.3
vintage 13.2
historical 13.2
column 13
tourism 12.4
marble 12.1
paper 11.8
bill 11.4
travel 11.3
decoration 11.1
baroque 10.7
retro 10.6
dollars 10.6
holder 10.6
us 10.6
business 10.3
culture 10.3
grunge 10.2
design 10.1
symbol 10.1
wealth 9.9
memorial 9.6
artistic 9.6
destination 9.4
treasury 9.2
exterior 9.2
water 8.7
architectural 8.7
god 8.6
facade 8.6
arch 8.4
classic 8.4
house 8.4
decorative 8.3
banking 8.3
carving 8.3
letter 8.3
ornate 8.2
style 8.2
fountain 8
financial 8
close 8
pay 7.7
one 7.5
savings 7.5
tourist 7.2
detail 7.2
paint 7.2
depository 7.2

Google

Microsoft

text 96.3
person 96.1
indoor 93.1
old 90.4
drawing 86.6
clothing 85.6
art 81.6
painting 78.2
man 62.8
sketch 54
museum 52.2
vintage 35.8
several 10.7

Face analysis

Amazon

AWS Rekognition

Age 11-21
Gender Female, 52.5%
Disgusted 45.1%
Angry 46.3%
Calm 52.8%
Fear 45.2%
Happy 45.1%
Confused 45.1%
Surprised 45.3%
Sad 45.2%

AWS Rekognition

Age 19-31
Gender Female, 54.4%
Disgusted 45.1%
Angry 45.5%
Calm 51.3%
Fear 45.2%
Happy 45.2%
Confused 45.1%
Surprised 45.1%
Sad 47.5%

AWS Rekognition

Age 23-35
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.6%
Calm 49.6%
Fear 49.6%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.5%
Fear 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 50.5%
Angry 49.5%
Confused 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 6-16
Gender Male, 54.8%
Fear 45%
Angry 45.1%
Happy 45.1%
Disgusted 45%
Calm 54.5%
Confused 45%
Surprised 45.1%
Sad 45.2%

AWS Rekognition

Age 41-59
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.5%
Angry 50.3%
Calm 49.6%
Confused 49.5%
Sad 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.4%
Disgusted 49.5%
Fear 49.5%
Calm 50.2%
Sad 49.7%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-51
Gender Female, 52.6%
Calm 46.1%
Happy 45.3%
Surprised 45.3%
Fear 45.4%
Disgusted 45.3%
Sad 47%
Angry 50.5%
Confused 45.2%

AWS Rekognition

Age 14-26
Gender Male, 50.3%
Happy 49.7%
Calm 49.6%
Fear 49.5%
Surprised 49.5%
Sad 50.1%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 32-48
Gender Female, 53.4%
Sad 45.3%
Confused 45.2%
Happy 45.2%
Disgusted 45.5%
Angry 46.5%
Surprised 46.5%
Fear 45.6%
Calm 50.3%

AWS Rekognition

Age 36-52
Gender Male, 50.5%
Angry 49.5%
Confused 49.5%
Fear 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 50.4%
Sad 49.6%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Fear 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.3%
Angry 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.3%
Calm 49.6%
Sad 49.6%
Angry 50.2%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Fear 49.6%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Disgusted 49.5%
Calm 49.6%
Sad 50.3%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Fear 49.6%

AWS Rekognition

Age 22-34
Gender Male, 50.2%
Angry 49.5%
Surprised 49.5%
Calm 50.5%
Confused 49.5%
Sad 49.5%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Painting 99.7%
Person 96.6%

Captions

Microsoft

a vintage photo of a group of people in a room 91%
a vintage photo of some people in a room 90.9%
a vintage photo of a person 86.4%

Text analysis

Amazon

peccata
Remittuntur
quia
ei
multa,
peccata quia Cap. 7.
dor
Dilescit
Audran
par
Remittuntur ei multa, Dilescit multuim. Luc fi
multuim.
Cap. 7.
Luc
par A2 Audran opres Fowsrin SIaigue Faere dor
opres
Fowsrin
SIaigue
Faere
fi
A2

Google

Derine
graue
Pousrin
primldu
Roy
vendent
Chea
Audran
dor
quia
a
Remittuntur
Poussih
par
BenoistAudran
Ce
SJangue
a.Poleers
Derine et graue par BenoistAudran apres Pousrin primldu Roy Ce vendent Parse Chea Audran rue SJangue aue a.Poleers dor a Remittuntur ei peccata multa, quia dilexit mulm Luc Cap. 7- udn e (3 Poussih
apres
rue
aue
ei
peccata
Cap.
7-
udn
(3
et
Parse
multa,
dilexit
mulm
Luc
e