Human Generated Data

Title

The Marriage at Cana
Date

16th-17th century
People

Artist: Odoardo Fialetti, Italian 1573 - 1638

Artist after: Jacopo Tintoretto, Italian 1519 - 1594
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Francis H. Burr Memorial Fund, S6.26

Human Generated Data

Title

The Marriage at Cana

People

Artist: Odoardo Fialetti, Italian 1573 - 1638

Artist after: Jacopo Tintoretto, Italian 1519 - 1594

Date

16th-17th century

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Art 98.2
Painting 98.2
Human 94.2
Person 94.2
Person 88.9
Person 85.2
Person 73.4
Person 67.8
Person 64.4
Person 60.8

Clarifai
created on 2018-04-19

people 100
group 99.8
illustration 99.8
print 99.7
art 99.6
engraving 99.5
adult 99.2
many 98.9
man 98.7
painting 95.2
administration 94.9
woman 92.5
several 91.8
woodcut 91.2
vehicle 90.5
etching 90.3
leader 90.3
military 90
crowd 89
veil 88.3

Imagga
created on 2018-04-19

sketch 73.1
drawing 59.4
representation 43.9
old 27.9
art 23.4
antique 22
architecture 21.1
vintage 19.9
building 18.2
ancient 17.3
paper 17.2
religion 17
design 16.9
map 16.6
retro 15.6
currency 15.3
grunge 14.5
border 14.5
pattern 14.4
history 14.3
culture 13.7
money 13.6
travel 12.7
finance 12.7
frame 12.5
business 12.1
decoration 12.1
church 12
city 11.7
world 11.5
structure 11.4
house 11
historic 11
tile 10.5
sculpture 10.3
temple 10.1
tracery 10
traditional 10
wallpaper 10
texture 9.7
geography 9.6
bill 9.5
graphic 9.5
historical 9.4
dollar 9.3
gold 9
black 9
us 8.7
scene 8.7
wall 8.4
decorative 8.4
bank 8.3
element 8.3
note 8.3
ornate 8.2
cash 8.2
mosaic 8.2
style 8.2
symbol 8.1
sky 7.7
capital 7.6
outline 7.6
silhouette 7.5
banking 7.4
shape 7.3
color 7.2
landmark 7.2
wealth 7.2
country 7.2

Google
created on 2018-04-19

history 71.6
black and white 67.8
art 67.5
chariot 59.2
vehicle 59.1
drawing 55.5
illustration 54.4
visual arts 53.5
middle ages 51.1

Microsoft
created on 2018-04-19

book 93.3
old 92.5
text 90.5

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.5%
Surprised 49.6%
Calm 50.2%
Disgusted 49.5%
Sad 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.3%
Sad 49.6%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 49.9%
Confused 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Happy 49.5%
Calm 49.6%
Confused 49.6%
Angry 49.6%
Disgusted 49.8%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Angry 49.6%
Sad 49.7%
Happy 49.5%
Surprised 49.5%
Confused 49.7%
Calm 49.9%
Disgusted 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Confused 49.6%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 50%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.6%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.5%
Angry 49.7%
Confused 49.6%
Calm 49.8%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 60-90
Gender Male, 50.3%
Angry 49.5%
Sad 49.6%
Calm 49.7%
Happy 50%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.5%
Calm 49.9%
Surprised 49.6%
Angry 49.6%
Confused 49.6%
Sad 49.8%

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Sad 49.7%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Confused 49.8%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50%
Calm 50%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Confused 49.6%
Sad 49.7%
Disgusted 49.5%

AWS Rekognition

Age 6-13
Gender Female, 53%
Confused 45.5%
Angry 46.2%
Calm 45.5%
Happy 45.2%
Surprised 45.7%
Disgusted 45.6%
Sad 51.2%

AWS Rekognition

Age 27-44
Gender Male, 50.2%
Sad 49.5%
Disgusted 50.4%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.1%
Happy 49.6%
Confused 49.6%
Calm 49.5%
Sad 50.2%
Surprised 49.5%
Angry 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.8%
Angry 49.6%
Happy 49.6%
Sad 49.7%
Confused 49.6%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.9%
Sad 51.1%
Surprised 45.1%
Calm 47.7%
Disgusted 45.2%
Happy 45.1%
Confused 45.4%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 38-57
Gender Female, 52.5%
Happy 45.4%
Calm 46.9%
Confused 45.4%
Surprised 45.4%
Angry 45.8%
Disgusted 46.9%
Sad 49.1%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Sad 49.6%
Calm 50.4%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Confused 49.6%
Disgusted 49.5%
Angry 49.6%
Calm 49.9%
Sad 49.9%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.5%
Disgusted 49.6%
Calm 50.1%
Happy 49.5%
Confused 49.6%
Angry 49.6%
Sad 49.6%
Surprised 49.5%

Feature analysis

Amazon

Painting 98.2%
Person 94.2%

Captions

Microsoft

a vintage photo of an old building 85.2%
a vintage photo of a building 81.5%
a vintage photo of an old building in the background 81.4%

Text analysis

Amazon

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oras
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