Human Generated Data

Title

Christ Blessing the Children
Date

before 1585
People

Artist: Harmen Jansz. Müller, Dutch c. 1540 - 1617

Artist after: Gerard van Groeningen, Flemish active late 16th century

Publisher: Gerard de Jode, Flemish 1509 - 1591
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.266

Human Generated Data

Title

Christ Blessing the Children

People

Artist: Harmen Jansz. Müller, Dutch c. 1540 - 1617

Artist after: Gerard van Groeningen, Flemish active late 16th century

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

before 1585

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.266

Machine Generated Data

Tags

Amazon
created on 2019-06-26

Human 98.2
Person 98.2
Person 96.5
Art 91.3
Painting 89.7
Person 88.4
Person 73.4
Person 70.7
Person 60.3
Text 56.2
Home Decor 55.3
Person 46.9

Clarifai
created on 2019-06-26

people 99.3
art 99.1
painting 98.8
illustration 97.4
religion 95.2
man 95
saint 94
woman 93.4
print 93.2
old 92.9
adult 92.2
Renaissance 90.2
baby 87.1
god 86.8
group 86
veil 85.8
cape 84.5
lithograph 83.4
gown (clothing) 82.7
book 82.3

Imagga
created on 2019-06-26

vintage 29.8
money 28.9
stamp 28.2
comic book 27.1
currency 26.9
cash 25.6
mail 24.9
postmark 24.6
postage 24.6
paper 24.3
old 23
letter 22.9
postal 22.6
art 22.2
post 21.9
envelope 20.7
retro 20.5
graffito 20.2
finance 19.4
decoration 19.3
bank 18.8
church 17.6
dollars 17.4
dollar 16.7
savings 15.8
printed 15.7
banking 15.6
bill 15.2
one 14.9
antique 14.8
note 14.7
business 14.6
wealth 14.4
financial 14.3
philately 13.8
culture 13.7
religion 13.4
exchange 13.4
close 13.1
ancient 13
office 12.9
book jacket 12.8
stamps 12.8
global 12.8
symbol 12.1
grunge 11.9
shows 11.8
bills 11.7
banknote 11.6
history 11.6
states 11.6
painter 11.6
painted 11.5
black 11.4
united 11.4
circa 10.9
print media 10.8
museum 10.7
us 10.6
design 10.5
communications 10.5
card 10.2
closeup 10.1
book 10
jacket 10
masterpiece 9.9
renaissance 9.8
banknotes 9.8
paintings 9.8
hundred 9.7
cutting 9.7
pay 9.6
fine 9.5
icon 9.5
unique 9.5
investment 9.2
aged 9.1
collection 9
post mail 8.9
zigzag 8.9
fame 8.9
known 8.9
covering 8.9
object 8.8
delivery 8.8
payment 8.7
notes 8.6
god 8.6
color 8.3
pattern 8.2
container 8.1
canceled 7.9
funds 7.8
saint 7.7
international 7.6
window 7.6
wrapping 7.6
communication 7.6
binding 7.5
religious 7.5
mosaic 7.4
economy 7.4
man 7.4
paint 7.2
detail 7.2
shelf 7.1
creation 7.1
market 7.1

Google
created on 2019-06-26

Painting 93.4
Art 83.7
Picture frame 78.6
Miniature 67.1
History 60.4
Illustration 60.2
Stock photography 59.4
Antique 55.3
Visual arts 55
Icon 50.6

Microsoft
created on 2019-06-26

painting 99.2
text 99.1
person 95
clothing 90.8
drawing 90.1
book 73.2
manuscript 63
cartoon 55
art 50.4
picture frame 34.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-66
Gender Male, 53.1%
Confused 45.2%
Surprised 45.1%
Disgusted 45.1%
Calm 47.3%
Sad 51.7%
Happy 45.2%
Angry 45.5%

AWS Rekognition

Age 48-68
Gender Male, 54%
Angry 45.4%
Confused 45.3%
Sad 49.1%
Surprised 45.2%
Happy 45.1%
Calm 49.8%
Disgusted 45.1%

AWS Rekognition

Age 45-66
Gender Female, 54.8%
Calm 45.3%
Angry 45.1%
Sad 54.3%
Happy 45.1%
Confused 45.1%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 30-47
Gender Female, 53.3%
Sad 51.6%
Confused 45.1%
Surprised 45.2%
Disgusted 45.1%
Angry 45.3%
Happy 45.4%
Calm 47.4%

AWS Rekognition

Age 45-65
Gender Female, 52.2%
Disgusted 45.1%
Sad 48.5%
Calm 50.7%
Angry 45.3%
Happy 45.1%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 45-63
Gender Female, 50.7%
Calm 52.1%
Confused 45.2%
Sad 47.2%
Happy 45.1%
Angry 45.2%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Female, 54.2%
Happy 46.3%
Disgusted 45.2%
Surprised 45.4%
Angry 45.9%
Sad 47.4%
Calm 49.4%
Confused 45.4%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Disgusted 45%
Happy 45.2%
Angry 45.8%
Surprised 45.1%
Calm 51.2%
Confused 45.1%
Sad 47.6%

AWS Rekognition

Age 26-44
Gender Female, 51.2%
Happy 45.3%
Confused 45.2%
Angry 45.2%
Sad 53%
Surprised 45.3%
Calm 45.9%
Disgusted 45.1%

AWS Rekognition

Age 57-77
Gender Female, 52.8%
Confused 45.3%
Surprised 45.2%
Disgusted 45.1%
Happy 45.2%
Sad 49.3%
Calm 46.9%
Angry 47.8%

AWS Rekognition

Age 48-68
Gender Male, 51.4%
Disgusted 45.1%
Calm 49.1%
Angry 45.8%
Happy 45.2%
Confused 45.6%
Sad 48.8%
Surprised 45.4%

AWS Rekognition

Age 45-63
Gender Male, 54.3%
Disgusted 45.1%
Happy 45.1%
Angry 45.7%
Surprised 45.3%
Calm 52.9%
Confused 45.2%
Sad 45.7%

AWS Rekognition

Age 57-77
Gender Female, 52.8%
Surprised 45.3%
Confused 45.6%
Disgusted 45.5%
Happy 45.4%
Sad 51.9%
Angry 45.4%
Calm 45.9%

Feature analysis

Amazon

Person 98.2%
Painting 89.7%

Categories

Imagga

paintings art 98.3%

Captions

Text analysis

Amazon

PERVENIANT
PVERI
SEMPER,
BEATA
ME
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sus

Google

278 \d.d la Ex ME PERVENIANT PVERI PERMIT TITO SEMPER, TALIBVS E COELO VITA BEATA DATVR Math. to l diseipls rtanarnt -Mas us hur di Mar.ix on pa us? petitz en faml a pn il mils mains dur soe St gul priaj, oy aum iy nu a may car a
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