Human Generated Data

Title

Aias corruit exanimis
Date

17th century
People

Artist: Nicolas Dorigny, French 1657 - 1746

Artist after: Raphael, Italian 1483 - 1520
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G972

Human Generated Data

Title

Aias corruit exanimis

People

Artist: Nicolas Dorigny, French 1657 - 1746

Artist after: Raphael, Italian 1483 - 1520

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G972

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 99.5
Human 99.5
Person 98.3
Person 98.1
Person 97.8
Person 97.6
Art 97.1
Painting 97.1
Person 96.6
Person 96
Person 94.7
Person 90.5
Person 90
Person 88.9
Person 82.1
Person 80.4
Person 71.2
Person 62.6
Person 59.2

Clarifai
created on 2019-11-06

people 100
group 99.8
art 98.9
print 98.6
adult 98.5
many 98.5
illustration 98.1
furniture 98.1
man 97.8
child 96
engraving 95.9
woman 94.8
administration 94.4
book series 93.3
book bindings 93.3
seat 91.1
several 90.9
kneeling 90.8
sit 90.6
leader 89

Imagga
created on 2019-11-06

sketch 54.1
drawing 43.9
sculpture 34.6
representation 32.9
art 32.4
statue 30.7
old 25.1
comic book 23.6
history 21.5
architecture 21.1
ancient 19
newspaper 17.6
freight car 17.6
building 17.5
god 17.2
religion 17
vintage 16.5
treasury 16
landmark 15.3
antique 15
monument 14.9
church 14.8
book jacket 14.1
city 14.1
daily 14.1
tourism 14
product 14
depository 13.8
decoration 13.3
car 13.1
famous 13
detail 12.9
culture 12.8
marble 12.8
historical 12.2
religious 12.2
creation 12
travel 12
stone 11.8
symbol 11.4
jacket 11
wheeled vehicle 10.8
spiritual 10.6
faith 10.5
facility 10.5
artistic 10.4
money 10.2
historic 10.1
catholic 9.7
temple 9.7
us 9.6
holy 9.6
spirituality 9.6
print media 9.4
figure 9.3
decorative 9.2
letter 9.2
carving 9
design 9
postmark 8.9
roman 8.8
closeup 8.8
stamp 8.7
saint 8.7
mail 8.6
wrapping 8.4
dollar 8.4
one 8.2
retro 8.2
currency 8.1
fountain 8.1
water 8
statues 7.9
postage 7.9
postal 7.8
bible 7.8
cathedral 7.7
banking 7.4
artwork 7.3
cash 7.3
tourist 7.3
colorful 7.2
bank 7.2
paper 7.1

Google
created on 2019-11-06

Painting 93.9
Art 89.5
Textile 72.9
Stock photography 71.8
Visual arts 71.1
Illustration 70.1
Picture frame 65.4
History 62.6
Tapestry 59.9
Collection 59.7
Artwork 54.3
Mythology 52

Microsoft
created on 2019-11-06

text 100
book 99.8
person 93.4
old 89.4
clothing 88.8
window 82.9
posing 74.1
drawing 58.9
group 57.1
man 50.8
vintage 34

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-42
Gender Male, 54.9%
Happy 45%
Sad 45.6%
Confused 45%
Angry 45.1%
Surprised 45%
Fear 45%
Calm 54.3%
Disgusted 45%

AWS Rekognition

Age 42-60
Gender Male, 54.8%
Fear 45%
Calm 48.4%
Disgusted 45.1%
Confused 45%
Sad 45%
Surprised 45%
Angry 51.3%
Happy 45%

AWS Rekognition

Age 45-63
Gender Male, 54.4%
Confused 45.1%
Surprised 45.1%
Happy 45.2%
Calm 50.9%
Disgusted 45%
Fear 45.2%
Sad 45.3%
Angry 48.1%

AWS Rekognition

Age 25-39
Gender Female, 51.6%
Fear 45.1%
Happy 45.1%
Calm 45.9%
Surprised 45.1%
Confused 45%
Angry 53.4%
Sad 45.3%
Disgusted 45.2%

AWS Rekognition

Age 23-35
Gender Male, 52.7%
Confused 45.2%
Sad 46.8%
Angry 47.7%
Fear 45.3%
Happy 45.1%
Disgusted 45.2%
Surprised 46.5%
Calm 48.3%

AWS Rekognition

Age 23-37
Gender Female, 53.7%
Fear 45%
Calm 51.3%
Sad 45.1%
Angry 45%
Confused 45%
Surprised 45%
Disgusted 45%
Happy 48.4%

AWS Rekognition

Age 35-51
Gender Male, 54.6%
Angry 46.7%
Happy 45.3%
Surprised 45%
Sad 48.4%
Calm 48.9%
Confused 45%
Fear 45.4%
Disgusted 45.2%

AWS Rekognition

Age 22-34
Gender Male, 54.4%
Disgusted 45%
Angry 54.5%
Calm 45%
Confused 45%
Surprised 45%
Happy 45%
Fear 45.2%
Sad 45.2%

AWS Rekognition

Age 36-54
Gender Male, 50.5%
Fear 49.5%
Happy 49.5%
Angry 50.5%
Sad 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 48-66
Gender Female, 52.3%
Disgusted 45%
Happy 53.2%
Confused 45%
Fear 45.1%
Sad 45.3%
Angry 45.2%
Calm 46.1%
Surprised 45%

AWS Rekognition

Age 20-32
Gender Female, 50.4%
Calm 50.4%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.6%
Angry 45.2%
Happy 45.4%
Surprised 45.1%
Sad 45.3%
Calm 53.9%
Confused 45%
Fear 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-37
Gender Male, 50.4%
Calm 50.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Fear 49.5%
Happy 49.5%
Sad 49.7%
Disgusted 49.5%
Angry 50.2%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 51-69
Gender Male, 53.9%
Calm 51.2%
Surprised 45.1%
Disgusted 45.1%
Sad 45.7%
Happy 46.7%
Angry 46%
Confused 45%
Fear 45.1%

AWS Rekognition

Age 39-57
Gender Male, 51.9%
Fear 45%
Surprised 45%
Calm 54.1%
Happy 45%
Angry 45%
Disgusted 45%
Confused 45%
Sad 45.8%

AWS Rekognition

Age 42-60
Gender Female, 50.1%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Fear 49.6%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

Age 28-44
Gender Female, 53%
Angry 45.1%
Happy 47.5%
Disgusted 45%
Sad 45%
Confused 45%
Calm 52.2%
Surprised 45%
Fear 45%

AWS Rekognition

Age 23-37
Gender Male, 52.1%
Confused 45%
Angry 45%
Fear 45%
Surprised 45%
Happy 54.3%
Calm 45.4%
Disgusted 45%
Sad 45.2%

Feature analysis

Amazon

Person 99.5%
Painting 97.1%

Categories

Imagga

paintings art 56.4%
streetview architecture 28.4%
interior objects 13.7%

Text analysis

Amazon

EXANIMIS.
ANANLA EXANIMIS.
ANANLA

Google

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