Human Generated Data

Title

Christ Heals the Sick

Date

16th century

People

Artist: Anonymous France (Paris) 1528, French 16th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gray Collection of Engravings Fund, G5290

Human Generated Data

Title

Christ Heals the Sick

People

Artist: Anonymous France (Paris) 1528, French 16th century

Date

16th century

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-11-07

Art 91
Drawing 85.3
Human 85.3
Doodle 81.1
Person 74.4
Person 69.5
Pattern 63.4
Painting 59.9

Clarifai
created on 2019-11-07

art 97.5
old 97
ancient 95.2
religion 94.8
vintage 92.9
print 92.6
people 92.5
desktop 91.4
culture 90.9
man 90.7
illustration 90.5
retro 89.8
painting 89.6
god 89.5
pattern 88.8
symbol 88.6
antique 88.3
decoration 86.3
paper 85.5
design 84.8

Imagga
created on 2019-11-07

sketch 81.6
drawing 66.1
representation 50.3
art 29.3
arabesque 28.4
pattern 26
design 23.4
vintage 22.4
money 22.1
currency 20.7
decoration 20
paper 19.6
dollar 19.5
finance 17.8
retro 17.2
bank 17
ancient 16.5
old 16
dollars 15.5
religion 15.3
cash 14.7
antique 14.5
decorative 14.2
texture 13.9
banking 13.8
grunge 13.6
floral 13.6
sign 13.6
frame 13.3
business 12.8
hundred 12.6
financial 12.5
graphic 12.4
element 12.4
decor 12.4
bill 12.4
symbol 12.1
savings 12.1
history 11.6
loan 11.5
investment 11
ornate 11
close 10.9
traditional 10.8
wealth 10.8
silhouette 10.8
scroll 10.5
temple 10.5
artistic 10.4
shape 10.3
artwork 10.1
stamp 9.9
creative 9.7
style 9.7
us 9.6
exchange 9.6
ornament 9.5
culture 9.4
rich 9.3
flower 9.2
border 9.1
black 9
one 9
royal 8.7
finances 8.7
elegant 8.6
number 8.4
classic 8.4
church 8.3
leaf 7.8
modern 7.7
mail 7.7
god 7.7
religious 7.5
east 7.5
gold 7.4
letter 7.3
painting 7.2

Google
created on 2019-11-07

History 80.7
Art 80.6
Middle ages 56.3
Miniature 50.6

Microsoft
created on 2019-11-07

text 99.8
drawing 99.5
sketch 99.3
book 98.8
illustration 94.7
cartoon 92.4
engraving 79.1
woodcut 77.5
person 69.9

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 21-33
Gender Female, 55.2%
Calm 3.9%
Angry 2.2%
Sad 0.1%
Surprised 0.2%
Disgusted 93.3%
Fear 0.2%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 21-33
Gender Female, 63.6%
Disgusted 0.2%
Angry 4.6%
Surprised 0.9%
Calm 70%
Sad 17.9%
Fear 1.1%
Confused 0.3%
Happy 5%

AWS Rekognition

Age 13-25
Gender Female, 63.3%
Happy 0.1%
Fear 43%
Calm 2.4%
Confused 0.8%
Surprised 0.5%
Sad 37.7%
Disgusted 11.9%
Angry 3.5%

AWS Rekognition

Age 20-32
Gender Male, 79%
Sad 2%
Calm 1.1%
Angry 55%
Surprised 0.3%
Happy 0.2%
Disgusted 6.9%
Confused 0.4%
Fear 34%

AWS Rekognition

Age 22-34
Gender Male, 73.7%
Calm 31.9%
Angry 7.9%
Disgusted 1.9%
Surprised 24.7%
Fear 7.2%
Confused 19.2%
Happy 0.4%
Sad 6.8%

AWS Rekognition

Age 28-44
Gender Male, 89.2%
Angry 1.5%
Disgusted 0.3%
Fear 2.7%
Sad 36%
Calm 57.5%
Happy 0.6%
Surprised 0.8%
Confused 0.6%

AWS Rekognition

Age 20-32
Gender Male, 85.7%
Happy 0.5%
Surprised 0.4%
Confused 0.3%
Angry 74.7%
Disgusted 17.2%
Fear 4.2%
Sad 1.3%
Calm 1.4%

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

Feature analysis

Amazon

Person 74.4%

Captions

Microsoft

a close up of a book 72.3%
close up of a book 67.2%
a close up of text on a book 63.3%

Text analysis

Amazon

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