Human Generated Data

Title

Institution of Passover
Date

16th-17th century
People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R14027

Human Generated Data

Title

Institution of Passover

People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91

Date

16th-17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R14027

Machine Generated Data

Tags

Amazon
created on 2019-11-10

Human 98.5
Person 98.5
Art 96.2
Person 95.4
Person 94.1
Person 89.9
Person 89.5
Painting 88.4
Person 87.9
Person 87.2
Person 85.4
Person 78.8
Person 64.2
Archaeology 56.1

Clarifai
created on 2019-11-10

people 99.8
illustration 99.6
art 99.5
print 98.8
man 97.6
group 97.4
adult 97.2
engraving 96.3
painting 94.4
leader 93.9
veil 91.5
administration 90.7
religion 90
kneeling 88.1
saint 87.5
book 87.5
facial hair 86.2
visuals 85.6
Renaissance 85.6
sword 85.5

Imagga
created on 2019-11-10

sketch 100
drawing 100
representation 100
paper 29.8
old 27.2
vintage 25.7
ancient 25.1
money 24.7
currency 23.3
retro 22.9
art 22.8
grunge 21.3
dollar 20.4
finance 20.3
cash 20.1
bank 19.7
bill 19
history 18.8
antique 18.5
business 15.8
design 15.8
financial 15.1
rich 14.9
wealth 14.4
banking 13.8
dollars 13.5
historic 12.8
aged 12.7
stamp 12.6
us 12.5
architecture 12.5
mail 12.5
savings 12.1
note 12
one 12
letter 11.9
symbol 11.5
postage 10.8
pay 10.6
exchange 10.5
texture 10.4
wall 10.3
travel 9.9
postmark 9.9
postal 9.8
sign 9.8
bills 9.7
building 9.5
house 9.2
investment 9.2
frame 9.2
decoration 9.1
paint 9.1
black 9
style 8.9
pattern 8.9
printed 8.9
sculpture 8.7
hundred 8.7
states 8.7
post 8.6
united 8.6
culture 8.5
historical 8.5
economy 8.3
dirty 8.1
close 8
circa 7.9
construction 7.7
loan 7.7
profit 7.7
card 7.7
save 7.6
grungy 7.6
decorative 7.5
freight car 7.5
brown 7.4
material 7.1
envelope 7
textured 7
nobody 7

Google
created on 2019-11-10

Painting 87.8
Art 85
History 74
Illustration 66.9
Stock photography 66.6
Visual arts 59.3
Miniature 57.3
Picture frame 54.4
Artwork 54.3
Antique 51.7

Microsoft
created on 2019-11-10

text 99.9
book 99.7
drawing 99.2
sketch 98.7
cartoon 93.6
person 84.2
illustration 80.6
engraving 74
clothing 73.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-46
Gender Male, 54.2%
Disgusted 45%
Confused 45%
Sad 54.2%
Fear 45.1%
Surprised 45%
Calm 45.5%
Happy 45%
Angry 45.1%

AWS Rekognition

Age 37-55
Gender Male, 54.9%
Fear 45.1%
Happy 45%
Confused 45.1%
Surprised 45%
Calm 45.1%
Sad 53.3%
Angry 46%
Disgusted 45.4%

AWS Rekognition

Age 23-35
Gender Female, 50%
Surprised 45%
Confused 45%
Happy 45%
Sad 52.7%
Disgusted 45%
Calm 47.1%
Fear 45%
Angry 45.1%

AWS Rekognition

Age 23-35
Gender Male, 53.7%
Disgusted 45.3%
Angry 47.5%
Fear 45.1%
Happy 45.1%
Confused 45%
Surprised 45%
Calm 50%
Sad 47%

AWS Rekognition

Age 49-67
Gender Male, 54.8%
Happy 48.8%
Confused 45%
Angry 45.3%
Fear 45.1%
Sad 45.5%
Disgusted 45.2%
Surprised 45.4%
Calm 49.7%

AWS Rekognition

Age 22-34
Gender Female, 52.2%
Confused 45%
Angry 53.8%
Surprised 45%
Fear 45.2%
Calm 45.7%
Sad 45.1%
Disgusted 45.1%
Happy 45%

AWS Rekognition

Age 51-69
Gender Male, 54.7%
Sad 46.2%
Calm 46.2%
Confused 45%
Disgusted 45.2%
Fear 45%
Happy 45%
Angry 52.3%
Surprised 45%

AWS Rekognition

Age 33-49
Gender Male, 50.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Calm 50.3%
Sad 49.6%

AWS Rekognition

Age 23-35
Gender Male, 52.4%
Happy 45.6%
Fear 45.1%
Sad 47.1%
Disgusted 50.7%
Surprised 45%
Calm 46%
Angry 45.5%
Confused 45%

AWS Rekognition

Age 23-35
Gender Female, 54.3%
Angry 45.1%
Happy 45.3%
Disgusted 45%
Confused 45%
Surprised 45%
Calm 53.5%
Sad 46%
Fear 45.1%

Feature analysis

Amazon

Person 98.5%
Painting 88.4%

Categories

Imagga

paintings art 99.6%

Captions

Microsoft
created on 2019-11-10

a close up of a book 49.6%
close up of a book 43.7%
a book on a wood surface 43.6%

Text analysis

Amazon

anguine
genitum
colorantur
angelus
Omne
prius
Exod:
poftes
vibrat.
Paftha fit, ct poftes colorantur anguine tincti, Omne prius genitum angelus enfe vibrat. Exod: I2.21
enfe
tincti,
Paftha fit,
Haoler.
I2.21
ct

Google

Harler f Exod: iz.21 prius genitum angelus enfe vibrat Omne Pafcha fit, et poftes colorantur Jarguine tinti,
Harler
Exod:
iz.21
prius
genitum
angelus
enfe
Omne
Pafcha
fit,
et
poftes
colorantur
Jarguine
f
vibrat
tinti,