Human Generated Data

Title

Tritons and Nayads

Date

17th century

People

Artist: François Bignon, French 16th-17th centuries

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Deknatel Purchase Fund, M20138

Human Generated Data

Title

Tritons and Nayads

People

Artist: François Bignon, French 16th-17th centuries

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Deknatel Purchase Fund, M20138

Machine Generated Data

Tags

Amazon
created on 2022-01-15

Person 97.7
Human 97.7
Person 97
Art 95.8
Person 94.4
Person 94.3
Painting 91.7
Person 84.6
Person 79.4
Portrait 60.8
Photography 60.8
Face 60.8
Photo 60.8
Drawing 56.9

Clarifai
created on 2023-10-26

people 100
print 99.9
engraving 99.8
illustration 99.6
adult 99.5
art 99.5
etching 98.3
group 98
man 97.8
two 97.2
woodcut 96.1
portrait 95.8
lithograph 95.5
painting 94.6
sword 94.1
woman 93.2
three 91.9
antique 90.7
visuals 90.1
facial hair 90

Imagga
created on 2022-01-15

sketch 36.4
money 32.3
tattoo 31.7
currency 31.4
drawing 30.4
comic book 27.1
dollar 26.9
banking 25.7
cash 25.6
finance 25.3
design 23.5
art 23.3
financial 23.2
bank 22.4
representation 21.2
wealth 20.7
decoration 19.5
close 19.4
dollars 19.3
business 18.2
bill 18.1
paper 18
savings 17.7
us 16.4
portrait 16.2
banknote 15.5
face 14.9
economy 14.8
rich 14
investment 13.7
book jacket 13.4
closeup 12.8
one 12.7
style 12.6
pay 12.5
model 12.4
finances 11.6
loan 11.5
exchange 11.5
print media 10.8
vintage 10.8
bills 10.7
retro 10.7
payment 10.6
jacket 10.6
fashion 10.6
person 10.4
black 10.2
symbol 10.1
twenty 9.8
concepts 9.8
old 9.8
pattern 9.6
funds 8.8
banknotes 8.8
paying 8.7
invest 8.7
artistic 8.7
grunge 8.5
moon 8.5
studio 8.4
sign 8.3
man 8.1
success 8
body 8
conceptual 7.9
wrapping 7.9
hair 7.9
wealthy 7.8
people 7.8
ornament 7.8
capital 7.8
hundred 7.7
stamp 7.7
pretty 7.7
profit 7.7
note 7.4
graphic 7.3
detail 7.2
sexy 7.2
futuristic 7.2
idea 7.1

Google
created on 2022-01-15

Microsoft
created on 2022-01-15

text 100
book 100
sketch 99.2
drawing 99.1
illustration 85.8
cartoon 82.2
painting 81.4
person 72
human face 63.2
engraving 55.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 23-31
Gender Male, 98.5%
Calm 86.2%
Happy 4.7%
Angry 3.2%
Sad 2.5%
Disgusted 2.1%
Confused 0.6%
Surprised 0.4%
Fear 0.3%

AWS Rekognition

Age 23-31
Gender Female, 60.3%
Calm 92.3%
Happy 2%
Sad 1.5%
Surprised 1.3%
Disgusted 1.2%
Fear 0.7%
Angry 0.5%
Confused 0.4%

AWS Rekognition

Age 24-34
Gender Female, 83.9%
Sad 85.4%
Calm 9.1%
Happy 1.8%
Angry 1.5%
Surprised 0.9%
Fear 0.6%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 22-30
Gender Male, 57.3%
Calm 92.9%
Angry 3.2%
Sad 2.9%
Disgusted 0.4%
Happy 0.4%
Confused 0.1%
Surprised 0.1%
Fear 0.1%

AWS Rekognition

Age 25-35
Gender Male, 86.5%
Sad 64.1%
Calm 29.1%
Confused 1.8%
Fear 1.3%
Disgusted 1.1%
Surprised 1.1%
Happy 1%
Angry 0.7%

AWS Rekognition

Age 28-38
Gender Male, 99.5%
Angry 75.4%
Calm 16.5%
Sad 3.5%
Surprised 1.8%
Disgusted 1.2%
Confused 0.6%
Fear 0.5%
Happy 0.4%

Microsoft Cognitive Services

Age 23
Gender Female

Microsoft Cognitive Services

Age 9
Gender Female

Feature analysis

Amazon

Person 97.7%
Painting 91.7%

Categories

Captions

Text analysis

Amazon

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Google

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PETRO
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