Human Generated Data

Title

Tending the Sick

Date

17th century

People

Artist: Sébastien Bourdon, French 1616 - 1671

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, by exchange, S2.63

Human Generated Data

Title

Tending the Sick

People

Artist: Sébastien Bourdon, French 1616 - 1671

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, by exchange, S2.63

Machine Generated Data

Tags

Amazon
created on 2021-04-03

Painting 97.7
Art 97.7
Person 94.2
Human 94.2
Person 92.4
Person 91.9
Person 89.5
Person 88.6
Person 81.8
Person 73.9
Person 69.3

Clarifai
created on 2021-04-03

people 100
group 100
print 100
adult 99.9
engraving 99.8
many 99.8
art 99.6
man 98.8
illustration 98.7
watercraft 98.2
leader 98.1
interaction 98
administration 97.9
etching 97.5
vehicle 97.4
several 96.7
veil 96.1
furniture 95.7
war 95.1
weapon 94.8

Imagga
created on 2021-04-03

sketch 100
drawing 85.9
representation 58.3
art 28.1
comic book 24.8
old 23.7
grunge 23
decoration 21.9
history 20.6
ancient 19.9
vintage 19.9
graffito 18.9
newspaper 16.3
antique 15.8
architecture 15.6
retro 15.6
pattern 15
wall 13.7
design 13.5
sculpture 13.4
paper 13.3
black 13.2
building 12.8
product 12.7
texture 12.5
daily 12.4
travel 12
creation 11.2
dirty 10.8
temple 10.6
statue 10.5
artistic 10.4
style 10.4
historical 10.4
stone 10.1
rough 10
city 10
paint 10
landmark 9.9
print media 9.9
tourism 9.9
currency 9.9
religion 9.9
detail 9.7
culture 9.4
money 9.4
decorative 9.2
historic 9.2
symbol 8.8
man 8.7
famous 8.4
frame 8.3
business 7.9
us 7.7
ink 7.7
wallpaper 7.7
god 7.7
clip art 7.4
letter 7.3
aged 7.2
painting 7.2
material 7.1
surface 7.1
textured 7

Google
created on 2021-04-03

Microsoft
created on 2021-04-03

text 99.9
book 99.9
drawing 99.5
sketch 99.3
cartoon 96
illustration 93.1
person 92
old 80.8
engraving 74.8
clothing 72.8
painting 68.6
man 63.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 24-38
Gender Male, 60.2%
Calm 40.9%
Surprised 22.6%
Confused 13.2%
Sad 8.6%
Fear 5.5%
Disgusted 4.6%
Angry 3.3%
Happy 1.3%

AWS Rekognition

Age 12-22
Gender Female, 95.9%
Calm 34.4%
Fear 24%
Sad 22.6%
Angry 5.9%
Disgusted 4.9%
Surprised 4.3%
Happy 2.1%
Confused 1.8%

AWS Rekognition

Age 22-34
Gender Female, 62.2%
Calm 57.9%
Sad 30.7%
Angry 5.3%
Happy 2.6%
Fear 2.5%
Confused 0.4%
Surprised 0.3%
Disgusted 0.2%

AWS Rekognition

Age 41-59
Gender Female, 55.2%
Angry 77.8%
Calm 9.7%
Sad 5.6%
Fear 4.3%
Happy 2.4%
Confused 0.1%
Surprised 0.1%
Disgusted 0%

AWS Rekognition

Age 31-47
Gender Female, 73.7%
Surprised 68.3%
Calm 12.2%
Fear 9.4%
Disgusted 6.9%
Angry 1.9%
Happy 0.5%
Sad 0.5%
Confused 0.3%

AWS Rekognition

Age 22-34
Gender Male, 98.9%
Calm 98.9%
Sad 0.8%
Surprised 0.1%
Angry 0.1%
Confused 0%
Fear 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 37-55
Gender Female, 64%
Calm 91.6%
Happy 5.5%
Angry 1.8%
Sad 0.9%
Confused 0.1%
Disgusted 0.1%
Surprised 0.1%
Fear 0%

AWS Rekognition

Age 33-49
Gender Male, 64%
Angry 98%
Happy 1.1%
Calm 0.5%
Sad 0.2%
Disgusted 0.1%
Fear 0.1%
Confused 0%
Surprised 0%

AWS Rekognition

Age 30-46
Gender Male, 77.1%
Calm 94.5%
Happy 5.2%
Sad 0.2%
Angry 0.1%
Disgusted 0.1%
Surprised 0%
Fear 0%
Confused 0%

AWS Rekognition

Age 27-43
Gender Male, 73.6%
Calm 48.9%
Happy 36.6%
Sad 8.6%
Angry 4.5%
Fear 0.9%
Surprised 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 23-35
Gender Female, 52.1%
Calm 99.3%
Sad 0.6%
Surprised 0%
Angry 0%
Disgusted 0%
Happy 0%
Confused 0%
Fear 0%

Feature analysis

Amazon

Painting 97.7%
Person 94.2%

Captions

Text analysis

Amazon

Csthort..
Hrteto
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Cmn

Google

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