Human Generated Data

Title

Christ Blessing Little Children

Date

16th-17th century

People

Artist: Willem Swanenburg, Dutch 1581? - 1612

Artist after: Jacopo Tintoretto, Italian 1519 - 1594

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G3805

Human Generated Data

Title

Christ Blessing Little Children

People

Artist: Willem Swanenburg, Dutch 1581? - 1612

Artist after: Jacopo Tintoretto, Italian 1519 - 1594

Date

16th-17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G3805

Machine Generated Data

Tags

Amazon
created on 2019-08-09

Painting 99.4
Art 99.4
Human 94.8
Person 94.8
Person 90.9
Person 85.4
Person 84.2
Person 83.6
Person 80.6
Person 75.2
Person 61.7

Clarifai
created on 2019-08-09

people 100
print 99.9
group 99.8
art 99.8
illustration 99.8
engraving 99.5
adult 99.5
painting 98.8
man 98.6
many 97.8
leader 96.8
kneeling 96.6
veil 96.2
woman 94.9
facial hair 94.7
gown (clothing) 94
etching 93
royalty 92.8
several 92.6
administration 92.1

Imagga
created on 2019-08-09

sketch 100
drawing 82.9
representation 65
art 32.2
decoration 32
graffito 31.7
old 27.2
ancient 26.8
sculpture 24.4
history 22.4
vintage 21.5
architecture 20.3
paper 19.6
grunge 19.6
carving 18.8
antique 18.5
statue 17.3
retro 15.6
money 14.5
currency 14.4
temple 14.2
travel 14.1
historic 13.8
stone 13.7
culture 13.7
texture 13.2
monument 13.1
famous 13
detail 12.9
finance 12.7
cash 11.9
style 11.9
religion 11.7
design 11.6
pattern 11.6
us 11.6
dollar 11.1
landmark 10.8
frame 10.8
city 10.8
tourism 10.7
artistic 10.4
historical 10.4
building 10.3
symbol 10.1
marble 10.1
decorative 10
financial 9.8
figure 9.4
rich 9.3
banking 9.2
business 9.1
wealth 9
bank 9
carved 8.8
wall 8.7
god 8.6
bill 8.6
capital 8.5
black 8.4
church 8.3
note 8.3
global 8.2
painting 8.1
textured 7.9
holiday 7.9
facade 7.8
nobody 7.8
holy 7.7
traditional 7.5
savings 7.5
close 7.4
economy 7.4
exterior 7.4
letter 7.3
stamp 7.3

Google
created on 2019-08-09

Painting 92.9
Art 91.9
Mythology 74.2
Visual arts 71.1
Textile 70.4
Stock photography 68.5
Illustration 68.1
Prophet 65.6
History 64.5
Drawing 63.2
Tapestry 63.1
Middle ages 50.7
Printmaking 50.6

Microsoft
created on 2019-08-09

text 100
book 99.9
drawing 97.4
painting 96.2
person 91.4
sketch 89.9
clothing 84.5
engraving 51.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 49-67
Gender Male, 54.8%
Confused 45%
Calm 54.5%
Fear 45%
Happy 45.2%
Angry 45.1%
Disgusted 45%
Surprised 45.1%
Sad 45%

AWS Rekognition

Age 23-35
Gender Female, 54.3%
Confused 45.1%
Surprised 45.1%
Disgusted 45.1%
Fear 45.1%
Angry 48.1%
Calm 49.3%
Happy 45.3%
Sad 46.9%

AWS Rekognition

Age 51-69
Gender Male, 54.9%
Confused 45.3%
Calm 49.7%
Fear 45%
Happy 46.3%
Angry 45.3%
Disgusted 45.7%
Surprised 45.1%
Sad 47.6%

AWS Rekognition

Age 22-34
Gender Male, 50.9%
Surprised 45.1%
Confused 45%
Disgusted 45%
Calm 51%
Fear 45%
Angry 46.4%
Sad 45.1%
Happy 47.4%

AWS Rekognition

Age 51-69
Gender Male, 54.9%
Angry 45.5%
Disgusted 45%
Fear 45%
Confused 45%
Happy 45%
Calm 54.4%
Surprised 45%
Sad 45.1%

AWS Rekognition

Age 20-32
Gender Male, 54.4%
Disgusted 45%
Surprised 45%
Confused 45%
Fear 45%
Sad 45%
Calm 54.9%
Happy 45%
Angry 45%

AWS Rekognition

Age 26-40
Gender Male, 54.7%
Confused 45.2%
Calm 49.5%
Fear 45.3%
Disgusted 45.2%
Angry 45.8%
Surprised 45.3%
Sad 48.6%
Happy 45.1%

AWS Rekognition

Age 22-34
Gender Male, 54.7%
Disgusted 45%
Angry 45.1%
Confused 45%
Surprised 45%
Calm 51.9%
Sad 47.9%
Fear 45%
Happy 45.1%

AWS Rekognition

Age 25-39
Gender Male, 53.7%
Disgusted 45%
Sad 45.2%
Angry 53.6%
Happy 46%
Surprised 45%
Fear 45%
Calm 45.1%
Confused 45%

AWS Rekognition

Age 20-32
Gender Male, 53%
Sad 46%
Confused 45.1%
Calm 51%
Surprised 45.4%
Angry 46%
Fear 45.8%
Disgusted 45.1%
Happy 45.7%

AWS Rekognition

Age 23-37
Gender Male, 54.8%
Fear 45%
Surprised 45.1%
Disgusted 45.3%
Happy 45.6%
Sad 45%
Calm 53.6%
Angry 45.4%
Confused 45%

AWS Rekognition

Age 40-58
Gender Male, 51.6%
Calm 51%
Confused 45.1%
Disgusted 45%
Surprised 45%
Fear 45.1%
Happy 45.1%
Sad 47.3%
Angry 46.4%

AWS Rekognition

Age 40-58
Gender Male, 54.1%
Happy 45.2%
Angry 45.3%
Surprised 45.4%
Disgusted 45.1%
Fear 46.1%
Calm 51.4%
Sad 46.4%
Confused 45.1%

AWS Rekognition

Age 51-69
Gender Male, 53.6%
Happy 45.1%
Sad 46%
Angry 45.5%
Fear 45.2%
Confused 45.1%
Calm 51%
Disgusted 47.1%
Surprised 45%

Microsoft Cognitive Services

Age 68
Gender Male

Microsoft Cognitive Services

Age 22
Gender Female

Feature analysis

Amazon

Painting 99.4%
Person 94.8%

Categories

Captions

Microsoft
created on 2019-08-09

a close up of a book 46.9%
close up of a book 41.8%
a book cover 41.7%

Text analysis

Amazon

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Google

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Babtismafis
Beandos
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Fanies
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