Human Generated Data

Title

Paulus et Barnabus Lystrae

Date

17th century

People

Artist: Nicolas Dorigny, French 1657 - 1746

Artist after: Raphael, Italian 1483 - 1520

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G974

Human Generated Data

Title

Paulus et Barnabus Lystrae

People

Artist: Nicolas Dorigny, French 1657 - 1746

Artist after: Raphael, Italian 1483 - 1520

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G974

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Art 97.2
Painting 97.2
Person 97
Human 97
Person 95.8
Person 95.7
Person 91.9
Person 90.8
Person 89.4
Person 84.5
Person 82.8
Person 79.1
Person 74.2
Person 74.1
Archaeology 73.3
Person 68.5
Person 68.3
Person 66.8
Person 62.2
Person 59.6

Clarifai
created on 2019-11-06

people 100
group 99.6
art 98.4
print 98
many 97.9
man 97.5
adult 97.4
engraving 95.1
woman 91.2
leader 89.9
illustration 89.9
administration 88.5
wear 86.2
furniture 85.1
kneeling 83.7
military 83.4
veil 82.7
several 81.2
position 80.9
child 80.6

Imagga
created on 2019-11-06

sculpture 87.4
statue 63.7
column 53.6
carving 52.7
art 42.7
architecture 40.1
stone 31.8
fountain 29.7
religion 28.7
history 27.8
ancient 27.7
monument 27.1
temple 25.5
marble 25.4
building 24.7
plastic art 24
old 23.7
structure 23.5
landmark 23.5
famous 23.3
travel 23.3
tourism 23.1
figure 22.5
culture 22.3
city 20.8
god 20.1
historical 18.8
religious 18.8
detail 17.7
historic 17.4
roman 16.5
statues 14.8
tourist 13.6
spiritual 13.5
antique 13.2
church 13
carved 12.7
spirituality 12.5
pedestal 12.4
palace 11.7
support 11.7
catholic 11.7
worship 11.6
heritage 11.6
symbol 11.5
decoration 11
museum 10.8
holy 10.6
east 10.3
exterior 10.2
traditional 10
baroque 9.8
facade 9.7
design 9
sculptures 8.9
oriental 8.5
bust 8.3
arch 8.2
relief 7.9
artistic 7.8
angel 7.8
pray 7.8
golden 7.8
architectural 7.7
china 7.7
faith 7.7
attraction 7.7
world 7.6
details 7.6
gold 7.4
water 7.4
face 7.1
bronze 7.1

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 99.9
book 97.7
person 95.5
clothing 85.3
old 85
drawing 80
group 74.4
posing 72.2
painting 71.9
sketch 57.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 41-59
Gender Male, 54.4%
Confused 45%
Surprised 45.1%
Calm 45.6%
Happy 45.1%
Sad 45.1%
Disgusted 45%
Angry 53.9%
Fear 45.2%

AWS Rekognition

Age 14-26
Gender Female, 53.4%
Confused 45.1%
Happy 45.1%
Sad 47.5%
Calm 52.2%
Angry 45.1%
Surprised 45%
Disgusted 45%
Fear 45%

AWS Rekognition

Age 21-33
Gender Female, 51.2%
Angry 45.2%
Calm 45.9%
Fear 45.1%
Surprised 45%
Disgusted 45%
Happy 53%
Confused 45%
Sad 45.9%

AWS Rekognition

Age 21-33
Gender Female, 51.5%
Happy 45%
Angry 45%
Calm 54.8%
Surprised 45%
Sad 45.1%
Fear 45%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 18-30
Gender Female, 54.6%
Sad 47.5%
Fear 45.3%
Happy 45.1%
Surprised 45%
Calm 51.5%
Disgusted 45%
Confused 45.1%
Angry 45.6%

AWS Rekognition

Age 23-35
Gender Female, 54.4%
Disgusted 45%
Happy 47.1%
Fear 45.2%
Confused 45%
Calm 51.9%
Surprised 45.1%
Sad 45.2%
Angry 45.4%

AWS Rekognition

Age 28-44
Gender Female, 52.8%
Sad 54.3%
Confused 45%
Angry 45.1%
Surprised 45%
Happy 45.2%
Calm 45.4%
Fear 45%
Disgusted 45%

AWS Rekognition

Age 23-37
Gender Female, 52.9%
Surprised 46.2%
Disgusted 45.1%
Calm 47.5%
Happy 45.3%
Fear 45.3%
Sad 46.7%
Angry 48.6%
Confused 45.3%

AWS Rekognition

Age 29-45
Gender Male, 54.9%
Calm 52.1%
Angry 45.1%
Surprised 45%
Fear 45%
Happy 45.3%
Disgusted 45%
Confused 45%
Sad 47.5%

AWS Rekognition

Age 41-59
Gender Male, 52.1%
Angry 48.9%
Calm 47.7%
Disgusted 45.1%
Fear 45.6%
Surprised 45.1%
Happy 45.5%
Sad 47.2%
Confused 45.1%

AWS Rekognition

Age 25-39
Gender Male, 53.7%
Surprised 45.2%
Confused 45.1%
Sad 45.1%
Happy 45.7%
Fear 45.5%
Angry 52.9%
Calm 45.4%
Disgusted 45.3%

AWS Rekognition

Age 22-34
Gender Male, 51.9%
Angry 45.3%
Happy 46.1%
Fear 45.2%
Surprised 45.1%
Calm 52.5%
Disgusted 45%
Confused 45%
Sad 45.8%

AWS Rekognition

Age 26-40
Gender Male, 50.5%
Sad 46.6%
Surprised 45%
Happy 47.2%
Fear 47.4%
Calm 47.3%
Disgusted 46.1%
Angry 45.3%
Confused 45%

AWS Rekognition

Age 27-43
Gender Male, 54.8%
Surprised 45%
Sad 46.4%
Angry 52.6%
Calm 45.9%
Fear 45.1%
Confused 45%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 43-61
Gender Male, 53.3%
Calm 47.1%
Surprised 45.1%
Disgusted 45.1%
Sad 50.1%
Happy 45%
Angry 45.4%
Confused 45.1%
Fear 47.1%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Angry 49.5%
Calm 50.4%
Fear 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50.2%
Happy 49.6%
Angry 49.8%
Fear 49.6%
Disgusted 49.8%
Surprised 49.5%
Calm 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 35-51
Gender Male, 54.8%
Fear 45%
Angry 45.1%
Sad 52.9%
Happy 45.1%
Confused 45%
Disgusted 45%
Calm 46.8%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 51.2%
Disgusted 45%
Happy 51.4%
Confused 45%
Sad 45.1%
Calm 48.4%
Angry 45%
Surprised 45%
Fear 45%

AWS Rekognition

Age 17-29
Gender Female, 53.4%
Surprised 45.1%
Confused 45.1%
Calm 45.4%
Happy 45.1%
Disgusted 45%
Angry 45.4%
Sad 47.8%
Fear 51.2%

AWS Rekognition

Age 22-34
Gender Female, 50.6%
Happy 45%
Surprised 45%
Disgusted 45%
Calm 54.8%
Fear 45%
Sad 45.2%
Confused 45%
Angry 45%

AWS Rekognition

Age 40-58
Gender Male, 50.3%
Calm 49.7%
Angry 49.5%
Surprised 50.2%
Fear 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 49.5%

Feature analysis

Amazon

Painting 97.2%
Person 97%

Categories

Text analysis

Amazon

PAULUS
BARNALAS
LYSTRE
PAULUS ET BARNALAS LYSTRE
ET

Google

PAULUS ET BARNABAS LYSTRE ede E s MA RIT REO HAMPTON-COR .
PAULUS
ET
BARNABAS
LYSTRE
ede
E
s
MA
RIT
REO
HAMPTON-COR
.