Human Generated Data

Title

Sea-Serpent and other satires

Date

1849

People

Artist: David Claypoole Johnston, American 1798 - 1865

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Harvard College Library, M6462

Human Generated Data

Title

Sea-Serpent and other satires

People

Artist: David Claypoole Johnston, American 1798 - 1865

Date

1849

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Harvard College Library, M6462

Machine Generated Data

Tags

Amazon
created on 2023-10-25

Art 99.5
Painting 99.5
Adult 98.8
Male 98.8
Man 98.8
Person 98.8
Person 98.6
Person 98.5
Person 98.5
Person 98.5
Adult 98.4
Person 98.4
Bride 98.4
Female 98.4
Wedding 98.4
Woman 98.4
Person 98.4
Adult 98.2
Person 98.2
Bride 98.2
Female 98.2
Woman 98.2
Person 98
Person 98
Person 98
Person 97.9
Person 97.9
Person 97.9
Page 96.9
Text 96.9
Person 93.6
Person 91.4
Person 90
Person 89.5
Person 88.8
Face 78.1
Head 78.1
Person 77.2
Person 71.7
Person 60.4
Person 59.6
Book 57.4
Comics 57.4
Publication 57.4
Archaeology 55.8
Drawing 55.7
Clothing 55.1
Dress 55.1

Clarifai
created on 2019-02-26

people 100
print 100
group 99.8
illustration 99.8
engraving 99.6
adult 99.5
many 99.5
man 98.4
leader 98.1
lithograph 97.1
art 96.7
watercraft 96.6
administration 96.4
woodcut 95.7
etching 94.9
several 93.3
one 93
chair 92.6
weapon 92.4
pictorial 91

Imagga
created on 2019-02-26

sketch 100
drawing 100
representation 100
vintage 26.5
design 24.2
retro 23.8
art 22.9
set 21.2
cartoon 20.5
old 17.4
graphic 16.8
icon 15.8
silhouette 15.7
symbol 15.5
collection 15.3
man 14.1
pattern 13.7
hand 12.9
black 12.6
horse 12.4
coffee 12
grunge 11.9
paper 11.8
decoration 11.7
antique 11.4
animal 11
doodle 10.8
drawn 10.8
doodles 9.9
sign 9.8
holiday 9.3
clip art 9.3
frame 9.2
stamp 9
flower 8.5
bird 8.4
wine 8.3
traditional 8.3
history 8.1
architecture 7.8
male 7.8
tree 7.7
money 7.7
texture 7.6
capital 7.6
outline 7.6
fashion 7.5
decorative 7.5
element 7.4
classic 7.4
business 7.3
currency 7.2
tower 7.2
love 7.1
travel 7

Google
created on 2019-02-26

Art 74
Drawing 67.7
Sketch 65.2
History 62.6
Illustration 50.4

Microsoft
created on 2019-02-26

text 99.9
old 90.8
book 90
posing 64.1
various 41.4
vintage 38
clothes 16.6
school 16.6
family 5.5
child 3.7
engraving 2.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 42-50
Gender Male, 97.8%
Calm 67.7%
Angry 24.3%
Surprised 7.5%
Fear 6%
Disgusted 4.4%
Sad 2.3%
Confused 0.2%
Happy 0.2%

AWS Rekognition

Age 22-30
Gender Male, 99.6%
Happy 53.6%
Confused 12.5%
Calm 9.6%
Surprised 8.6%
Fear 8%
Disgusted 7.5%
Angry 4.1%
Sad 3.6%

AWS Rekognition

Age 21-29
Gender Female, 92.4%
Calm 74.9%
Disgusted 9.6%
Fear 8.3%
Surprised 7.5%
Angry 3.2%
Sad 2.7%
Confused 1.5%
Happy 1.4%

AWS Rekognition

Age 57-65
Gender Male, 98.9%
Sad 88.5%
Calm 47.8%
Angry 7.9%
Surprised 6.4%
Fear 6.3%
Confused 1.1%
Happy 0.6%
Disgusted 0.3%

AWS Rekognition

Age 25-35
Gender Female, 86.7%
Happy 93.6%
Surprised 6.9%
Fear 6.2%
Sad 2.3%
Calm 1.9%
Angry 1%
Disgusted 0.8%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Male, 97.1%
Happy 27.1%
Calm 23.7%
Angry 20.7%
Fear 12.3%
Surprised 8%
Sad 7.1%
Disgusted 3.6%
Confused 1.1%

AWS Rekognition

Age 23-33
Gender Female, 90.9%
Fear 93.7%
Surprised 9.4%
Happy 5.7%
Sad 3%
Confused 1.7%
Calm 1.5%
Disgusted 1%
Angry 1%

AWS Rekognition

Age 6-14
Gender Female, 68.3%
Calm 89.8%
Surprised 6.9%
Fear 6.5%
Disgusted 2.9%
Sad 2.5%
Happy 1.7%
Angry 1.1%
Confused 0.8%

AWS Rekognition

Age 23-31
Gender Male, 97.4%
Calm 57.1%
Angry 18.6%
Surprised 11.4%
Happy 7.7%
Fear 7.5%
Disgusted 3.9%
Sad 2.4%
Confused 0.5%

AWS Rekognition

Age 22-30
Gender Male, 60.1%
Happy 86.6%
Surprised 6.8%
Fear 6.2%
Calm 6%
Sad 2.6%
Angry 1.6%
Disgusted 1.3%
Confused 1.3%

AWS Rekognition

Age 14-22
Gender Female, 97.8%
Fear 80.1%
Happy 22.3%
Calm 11%
Surprised 6.8%
Sad 2.4%
Angry 1.4%
Confused 0.8%
Disgusted 0.6%

Feature analysis

Amazon

Adult 98.8%
Male 98.8%
Man 98.8%
Person 98.8%
Bride 98.4%
Female 98.4%
Woman 98.4%

Categories

Imagga

paintings art 100%

Text analysis

Amazon

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