Human Generated Data

Title

Christ at the House of Simon the Pharisee

Date

18th century

People

Artist: Jean Baptiste de Poilly, French 1669 - 1728

Artist after: Charles Le Brun, French 1619 - 1690

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R2479

Human Generated Data

Title

Christ at the House of Simon the Pharisee

People

Artist: Jean Baptiste de Poilly, French 1669 - 1728

Artist after: Charles Le Brun, French 1619 - 1690

Date

18th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R2479

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 99.6
Human 99.6
Person 98.7
Person 98.7
Person 98.6
Painting 97.8
Art 97.8
Person 97.6
Person 95.2
Person 94.7
Person 94
Person 93.6
Person 89.1
Person 88.5
Person 75.8
Person 75.3
Person 64.1
Person 54.9
Person 42.9

Clarifai
created on 2019-11-06

people 100
group 99.7
many 99
adult 98.6
art 98.3
print 97.4
man 97
administration 92.9
engraving 91.3
woman 89.8
furniture 88.7
kneeling 88.5
military 88
soldier 87.8
leader 87.7
sit 87.3
one 87.3
gown (clothing) 86.8
religion 86.4
illustration 85.9

Imagga
created on 2019-11-06

sculpture 58.3
statue 38.4
art 35.7
architecture 30.8
column 30.4
religion 27.8
carving 27.2
decoration 26.8
tattoo 23.5
ancient 23.4
old 23
design 21.5
history 21.5
figure 21.4
monument 20.6
temple 20.3
detail 20.1
stone 19.5
god 19.1
landmark 19
religious 18.7
famous 16.8
tourism 16.5
culture 16.2
building 15.9
city 15.8
church 15.7
camouflage 15.3
travel 14.8
holy 14.4
sketch 12.1
carved 11.7
catholic 11.7
antique 11.6
spiritual 11.5
spirituality 11.5
marble 11.5
plastic art 11.1
covering 11.1
exterior 11.1
screen 11.1
tourist 10.9
symbol 10.8
facade 10.6
saint 10.6
artistic 10.4
style 10.4
historic 10.1
faith 9.6
cathedral 8.9
drawing 8.9
statues 8.9
museum 8.8
historical 8.5
decorative 8.4
representation 8.3
gold 8.2
fountain 8
angel 7.8
pray 7.8
golden 7.7
architectural 7.7
east 7.5
face 7.1

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 99.8
book 99.4
drawing 98
sketch 95.6
old 95.4
person 94.4
clothing 90.1
painting 89.1
man 72.6
cartoon 69
group 60.4
vintage 38.4
clothes 28.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 8-18
Gender Female, 54.9%
Fear 45%
Sad 45.1%
Confused 45%
Angry 45%
Happy 50.6%
Disgusted 45%
Surprised 45%
Calm 49.2%

AWS Rekognition

Age 36-54
Gender Male, 54.8%
Angry 55%
Happy 45%
Fear 45%
Surprised 45%
Calm 45%
Disgusted 45%
Confused 45%
Sad 45%

AWS Rekognition

Age 34-50
Gender Male, 53.7%
Angry 51.4%
Disgusted 45.1%
Confused 45%
Fear 45.1%
Happy 46.3%
Calm 46.5%
Sad 45.5%
Surprised 45.1%

AWS Rekognition

Age 23-37
Gender Male, 53.7%
Angry 48.8%
Surprised 45.2%
Calm 49.4%
Disgusted 45.3%
Fear 45.2%
Confused 45.2%
Happy 45.2%
Sad 45.8%

AWS Rekognition

Age 22-34
Gender Male, 54.7%
Confused 45%
Happy 45.4%
Fear 45%
Surprised 45.1%
Angry 45.6%
Sad 45.1%
Calm 53.6%
Disgusted 45.1%

AWS Rekognition

Age 41-59
Gender Male, 54.6%
Fear 45.1%
Calm 49.8%
Sad 49.3%
Angry 45.5%
Confused 45.1%
Surprised 45.1%
Disgusted 45%
Happy 45.1%

AWS Rekognition

Age 23-35
Gender Male, 54.3%
Surprised 45%
Calm 49.4%
Fear 45.1%
Happy 45%
Disgusted 45%
Sad 48.1%
Angry 47.2%
Confused 45.1%

AWS Rekognition

Age 21-33
Gender Female, 51.7%
Happy 45%
Disgusted 45%
Sad 54.8%
Calm 45.2%
Angry 45%
Fear 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 8-18
Gender Female, 54.2%
Happy 45%
Fear 45%
Angry 45%
Confused 45%
Disgusted 45%
Surprised 45%
Calm 54.7%
Sad 45.2%

AWS Rekognition

Age 25-39
Gender Female, 50.3%
Disgusted 45%
Fear 45.4%
Angry 45.9%
Surprised 45.1%
Confused 45.1%
Happy 50%
Calm 47.8%
Sad 45.6%

AWS Rekognition

Age 4-12
Gender Male, 54.8%
Fear 45%
Surprised 45.1%
Disgusted 45%
Calm 53.9%
Angry 45.2%
Happy 45.1%
Sad 45.7%
Confused 45%

AWS Rekognition

Age 26-40
Gender Female, 50%
Fear 52.7%
Angry 45.5%
Confused 45.1%
Disgusted 45.1%
Surprised 45.1%
Sad 46%
Calm 45.2%
Happy 45.3%

AWS Rekognition

Age 40-58
Gender Female, 50%
Disgusted 45.2%
Fear 45.2%
Happy 47.1%
Calm 46.7%
Surprised 45.1%
Angry 50.5%
Confused 45.1%
Sad 45.1%

AWS Rekognition

Age 26-40
Gender Male, 50.1%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.2%
Happy 49.7%
Sad 49.5%
Fear 49.5%

AWS Rekognition

Age 19-31
Gender Male, 51.9%
Disgusted 45%
Angry 49%
Sad 45.1%
Confused 45%
Surprised 45.1%
Fear 45.1%
Happy 48.1%
Calm 47.6%

AWS Rekognition

Age 19-31
Gender Female, 51.8%
Surprised 45%
Happy 53.8%
Fear 45%
Calm 46.1%
Sad 45%
Confused 45%
Angry 45%
Disgusted 45%

Feature analysis

Amazon

Person 99.6%
Painting 97.8%

Categories

Text analysis

Amazon

peccata
Remittuntur
quoniam
ci
multum
multa
peches
Remittuntur ci multa dilexxit multum
de
ont
Beaucoup
Beaucoup de peches luy ont remr pareeqn'elle eanconp aime
pareeqn'elle
peccata quoniam live C:7.047
luy
eanconp
dilexxit
remr
aime
live
C:7.047
O0

Google

Remittuntur ci pcata multa quoniam dilexit multum Beaucop de peches luy Sont rems, parcequelle a beaucoup aime C 7
ci
multa
quoniam
dilexit
multum
Beaucop
de
peches
luy
Sont
parcequelle
a
Remittuntur
pcata
rems,
beaucoup
aime
C
7