Human Generated Data

Title

The Request Granted

Date

1784

People

Artist: Charles Clément Bervic, French 1756 - 1822

Artist after: Nicolas-Bernard Lépicié, French 1735 - 1784

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R3719

Human Generated Data

Title

The Request Granted

People

Artist: Charles Clément Bervic, French 1756 - 1822

Artist after: Nicolas-Bernard Lépicié, French 1735 - 1784

Date

1784

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R3719

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 99.7
Human 99.7
Person 99.5
Painting 99.3
Art 99.3
Person 99.1
Person 98.8
Person 98
Person 87.4
Person 47.1
Person 44.8

Clarifai
created on 2019-11-06

people 100
group 99.9
adult 99
many 98.7
man 98.2
sit 98.1
print 96
several 95.5
child 95.1
furniture 95.1
woman 94.2
book series 93.1
kneeling 91.9
art 91.8
group together 91.6
leader 88
engraving 86.3
administration 86.3
room 85.9
seat 85.8

Imagga
created on 2019-11-06

statue 58.1
sculpture 56.2
architecture 40.1
history 31.3
monument 30.9
art 30
column 30
stone 29.9
religion 28.7
kin 28.4
ancient 27.7
building 27.4
old 25.1
marble 23
landmark 22.6
tourism 22.3
historic 22
travel 21.9
fountain 20.9
city 20.8
religious 20.6
detail 20.1
god 20.1
culture 19.7
famous 19.6
historical 18.8
temple 18.3
carving 18.2
antique 16
catholic 14.9
structure 14.7
world 14.2
classroom 13.6
church 13
figure 13
memorial 12.9
tourist 12.7
room 12
palace 11.8
holy 11.6
spirituality 11.5
daily 11
decoration 10.9
pray 10.7
saint 10.6
vintage 9.9
roman 9.8
carved 9.8
cathedral 9.7
arch 9.7
worship 9.7
heritage 9.7
spiritual 9.6
face 9.2
exterior 9.2
baroque 8.8
symbol 8.8
facade 8.7
golden 8.6
capital 8.5
statues 7.9
artistic 7.8
sky 7.7
outdoor 7.7
attraction 7.7
traditional 7.5
man 7.4
water 7.3
people 7.3

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

person 98.7
text 98.2
clothing 88.8
old 87.1
painting 75
black 70.1
drawing 67.5
player 65.6
group 56.3
vintage 32.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 20-32
Gender Female, 50.1%
Calm 53.9%
Angry 45%
Surprised 45%
Fear 45%
Happy 45%
Disgusted 45%
Confused 45%
Sad 46%

AWS Rekognition

Age 11-21
Gender Female, 54.7%
Angry 45%
Fear 45%
Disgusted 45%
Calm 54.7%
Confused 45%
Happy 45.3%
Sad 45%
Surprised 45%

AWS Rekognition

Age 36-54
Gender Male, 54.5%
Calm 54.8%
Disgusted 45%
Angry 45.1%
Happy 45%
Fear 45%
Sad 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 23-35
Gender Female, 54.9%
Happy 46.2%
Calm 51%
Angry 45.8%
Surprised 45.4%
Confused 45.3%
Disgusted 45.2%
Fear 45.3%
Sad 45.9%

AWS Rekognition

Age 41-59
Gender Male, 54.8%
Angry 45.2%
Happy 47.2%
Calm 51.3%
Surprised 45.1%
Sad 45%
Disgusted 46.1%
Confused 45%
Fear 45%

AWS Rekognition

Age 25-39
Gender Male, 53.5%
Sad 45.1%
Calm 51.9%
Surprised 45.1%
Angry 45.2%
Fear 45%
Happy 47.7%
Confused 45.1%
Disgusted 45.1%

AWS Rekognition

Age 0-4
Gender Female, 52.3%
Happy 48.8%
Disgusted 45%
Fear 45.1%
Calm 50.5%
Angry 45.1%
Sad 45.4%
Confused 45%
Surprised 45%

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 34
Gender Male

Feature analysis

Amazon

Person 99.7%
Painting 99.3%

Text analysis

Amazon

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Google

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