Human Generated Data

Title

Death of the Virgin

Date

c. 1480

People

Artist: Martin Schongauer, German c. 1450 - 1491

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of George and Wilhelmina Batchelder, M23829

Human Generated Data

Title

Death of the Virgin

People

Artist: Martin Schongauer, German c. 1450 - 1491

Date

c. 1480

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of George and Wilhelmina Batchelder, M23829

Machine Generated Data

Tags

Amazon
created on 2019-11-09

Art 97.6
Painting 95.3
Human 71.7
Person 71.7
Person 70.6
Person 61.8

Clarifai
created on 2019-11-09

illustration 99.9
people 99.9
art 99.8
print 99.2
engraving 98.4
man 97.4
adult 96.6
woodcut 96.4
visuals 96.1
painting 95.6
saint 94.8
group 94.7
religion 93.7
book 92.9
sword 92.8
book bindings 91.4
etching 91.2
one 89.1
antique 89
god 88.8

Imagga
created on 2019-11-09

drawing 100
representation 100
sketch 100
vintage 26.5
art 24.1
retro 23.8
design 23.2
pattern 21.9
old 18.8
texture 18.8
ancient 17.3
antique 16.6
paper 16.5
grunge 16.2
decoration 15.4
floral 13.6
stamp 13.6
decorative 13.4
frame 13.3
ornament 12.9
close 12.6
history 12.5
graphic 12.4
element 11.6
mail 11.5
shape 11.2
style 11.1
decor 10.6
scroll 10.5
artistic 10.4
elegant 10.3
leaf 10.1
letter 10.1
ornate 10.1
color 10
flower 10
border 9.9
currency 9.9
postmark 9.9
postage 9.8
postal 9.8
creative 9.7
plant 9.7
finance 9.3
silhouette 9.1
black 9
light 8.7
money 8.5
swirl 8.3
artwork 8.2
aged 8.1
architecture 7.8
modern 7.7
stylized 7.7
card 7.7
post 7.6
symbol 7.4
glass 7.4
cash 7.3
branch 7.3
religion 7.2

Google
created on 2019-11-09

Microsoft
created on 2019-11-09

drawing 99.1
sketch 98.6
book 97.6
text 97.6
cartoon 96.4
illustration 92.9
person 81.7
art 64.4
clothing 57.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 54.8%
Surprised 45%
Angry 45%
Happy 45%
Calm 45.2%
Fear 45%
Disgusted 45%
Sad 54.7%
Confused 45%

AWS Rekognition

Age 23-35
Gender Male, 53.6%
Sad 45.1%
Angry 45.2%
Surprised 45%
Happy 45.1%
Disgusted 45%
Calm 54.6%
Confused 45%
Fear 45%

AWS Rekognition

Age 17-29
Gender Male, 54%
Calm 54.6%
Sad 45%
Happy 45.1%
Surprised 45%
Angry 45.2%
Disgusted 45%
Confused 45%
Fear 45%

AWS Rekognition

Age 46-64
Gender Female, 52.9%
Disgusted 45.3%
Happy 45.5%
Fear 45.7%
Surprised 45.6%
Confused 45.2%
Calm 46.1%
Angry 47.4%
Sad 49.2%

AWS Rekognition

Age 35-51
Gender Male, 52.1%
Fear 45.1%
Happy 45.8%
Surprised 45.3%
Angry 45.9%
Sad 46.9%
Confused 45%
Calm 50.9%
Disgusted 45.1%

AWS Rekognition

Age 34-50
Gender Male, 51.2%
Surprised 47.3%
Happy 45.7%
Disgusted 45.1%
Confused 45.1%
Fear 47.9%
Angry 45.7%
Calm 47.7%
Sad 45.5%

AWS Rekognition

Age 19-31
Gender Female, 51.3%
Confused 45%
Surprised 45.1%
Fear 45.1%
Happy 47.9%
Disgusted 45%
Calm 51.6%
Sad 45.1%
Angry 45.1%

AWS Rekognition

Age 49-67
Gender Male, 53.8%
Fear 45.4%
Angry 50.4%
Disgusted 45%
Surprised 45.2%
Happy 45.1%
Sad 45.1%
Calm 48.7%
Confused 45%

AWS Rekognition

Age 35-51
Gender Male, 54.1%
Sad 45.1%
Angry 45.4%
Surprised 45.3%
Confused 45%
Disgusted 45.5%
Fear 45.1%
Happy 50.7%
Calm 47.9%

AWS Rekognition

Age 29-45
Gender Male, 54.4%
Surprised 45.1%
Sad 45%
Happy 46.8%
Calm 52.9%
Disgusted 45%
Fear 45%
Confused 45%
Angry 45.1%

Feature analysis

Amazon

Painting 95.3%
Person 71.7%

Categories

Captions

Microsoft
created on 2019-11-09

a close up of a book 50%
close up of a book 44.8%
a hand holding a book 44.7%

Text analysis

Amazon

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Google

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