Human Generated Data

Title

Auxillary Soldiers and Lancers

Date

1675

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.4

Human Generated Data

Title

Auxillary Soldiers and Lancers

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Date

1675

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.4

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 98.8
Person 98.8
Person 98.3
Art 98.3
Person 95.3
Person 91.2
Person 91.1
Person 88.4
Person 85.9
Painting 79.9
Person 75.3
Fish 75.3
Animal 75.3
Person 75.1
Person 70.3
Person 67.4
Person 66.9
Person 62.6
Archaeology 55.3

Clarifai
created on 2018-03-16

people 100
group 99.7
adult 99.1
military 98.9
many 98.9
man 97.8
soldier 97.5
administration 97.2
war 96.8
uniform 96.7
group together 96.6
print 96.5
weapon 95.5
leader 95.2
military uniform 94.3
gun 93.1
outfit 90.6
army 89.7
skirmish 89.6
wear 89.5

Imagga
created on 2018-03-16

graffito 80.7
decoration 61.3
old 25.1
grunge 21.3
art 19.2
paper 17.2
vintage 15.7
drawing 15.7
ancient 15.6
history 15.2
design 15
architecture 14.8
travel 14.8
money 14.4
arabesque 13.3
antique 13.2
texture 13.2
retro 13.1
currency 12.6
close 12
sketch 11.9
cash 11.9
zebra 11.3
detail 11.3
finance 11
bank 10.7
pattern 10.2
black 10.2
banking 10.1
letter 10.1
holiday 10
tourism 9.9
sculpture 9.9
fire screen 9.5
note 9.2
business 9.1
wealth 9
financial 8.9
decor 8.8
building 8.8
representation 8.8
us 8.7
water 8.7
pay 8.6
bill 8.6
card 8.5
screen 8.4
dollar 8.3
decorative 8.3
style 8.2
brown 8.1
symbol 8.1
sand 7.8
artistic 7.8
stencil 7.8
season 7.8
culture 7.7
floral 7.6
print 7.5
historical 7.5
frame 7.5
traditional 7.5
monument 7.5
vacation 7.4
paint 7.2
border 7.2
landmark 7.2
religion 7.2

Google
created on 2018-03-16

history 75.7
art 70.9
troop 57.9
visual arts 55.4
vintage clothing 52.5
artwork 50.6

Microsoft
created on 2018-03-16

text 99.9
book 98.9
outdoor 93.4
old 89.1
posing 89
group 88.4
vintage 41.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 52.6%
Disgusted 45.6%
Angry 45.5%
Happy 45.3%
Calm 48.4%
Sad 48.7%
Confused 45.9%
Surprised 45.5%

AWS Rekognition

Age 35-52
Gender Male, 50.7%
Confused 45.4%
Calm 50.9%
Disgusted 45.7%
Angry 45.9%
Surprised 45.2%
Sad 46.5%
Happy 45.4%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Disgusted 45.1%
Sad 45.4%
Confused 45.1%
Calm 53.8%
Surprised 45.1%
Angry 45.3%
Happy 45.2%

AWS Rekognition

Age 35-52
Gender Male, 52.9%
Calm 52.1%
Sad 46%
Surprised 45.2%
Angry 46.4%
Disgusted 45.1%
Happy 45.1%
Confused 45.2%

AWS Rekognition

Age 26-44
Gender Male, 51.2%
Happy 45%
Surprised 45.1%
Angry 45.1%
Sad 45.2%
Confused 45.1%
Disgusted 45%
Calm 54.4%

AWS Rekognition

Age 48-68
Gender Male, 54.5%
Surprised 45.4%
Angry 48.1%
Happy 45.3%
Calm 48.1%
Disgusted 45.1%
Confused 45.4%
Sad 47.6%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Happy 47.1%
Surprised 45.9%
Angry 47.2%
Sad 47.1%
Confused 45.7%
Disgusted 45.6%
Calm 46.4%

AWS Rekognition

Age 45-63
Gender Female, 52.7%
Angry 45.6%
Disgusted 45.4%
Sad 46.8%
Calm 49.8%
Surprised 45.4%
Happy 46.7%
Confused 45.3%

AWS Rekognition

Age 30-47
Gender Male, 51.4%
Surprised 45.7%
Calm 47.7%
Sad 47%
Angry 46.4%
Happy 45.2%
Disgusted 45.3%
Confused 47.7%

Feature analysis

Amazon

Person 98.8%
Painting 79.9%
Fish 75.3%

Text analysis

Amazon

SPQR

Google

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SPOR
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