Human Generated Data

Title

Interior: Men Seated at Two Tables

Date

18th-19th century

People

Artist: David Deuchar, British 1743 - 1808

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13197

Human Generated Data

Title

Interior: Men Seated at Two Tables

People

Artist: David Deuchar, British 1743 - 1808

Date

18th-19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13197

Machine Generated Data

Tags

Amazon
created on 2023-10-24

Art 100
Painting 100
Adult 98.9
Male 98.9
Man 98.9
Person 98.9
Adult 98.7
Male 98.7
Man 98.7
Person 98.7
Person 98.4
Person 98.3
Person 96.2
Person 96.2
Adult 96.1
Male 96.1
Man 96.1
Person 96.1
Person 92.6
Person 91
Person 89.5
Dining Table 89.1
Furniture 89.1
Table 89.1
Person 87.9
Person 84.7
Drawing 74
Head 69.5
Face 65.9
Architecture 58
Building 58
Dining Room 58
Indoors 58
Room 58

Clarifai
created on 2019-02-28

people 100
group 99.8
print 99.7
many 98.7
adult 97.5
group together 97.2
man 96.5
illustration 95.6
art 95
military 94.9
engraving 94.9
administration 94.2
furniture 92.6
several 90.1
chair 90
leader 89.4
wear 88
tent 87.8
cavalry 87.5
soldier 87

Imagga
created on 2019-02-28

graffito 100
decoration 88.5
grunge 24.7
drawing 21.9
old 20.2
sketch 18.2
vintage 15.7
texture 15.3
retro 13.1
aged 12.7
black 12.6
representation 11.6
urban 11.4
antique 11.2
empty 11.2
art 11.1
style 10.4
ancient 10.4
winter 10.2
dark 10
snow 10
history 9.8
cold 9.5
paper 9.4
wall 9.4
architecture 9.4
frame 9.2
city 9.1
business 9.1
dirty 9
building 8.7
wallpaper 8.4
window 8.2
landscape 8.2
brown 8.1
man 8.1
financial 8
autumn 7.9
holiday 7.9
artistic 7.8
table 7.8
chair 7.7
tree 7.7
worn 7.6
old fashioned 7.6
finance 7.6
decorative 7.5
wood 7.5
light 7.3
design 7.3
bank 7.2
cool 7.1
decor 7.1
season 7
textured 7

Google
created on 2019-02-28

Microsoft
created on 2019-02-28

old 89
vintage 46.9
book 46.9
engraving 36.4
black and white 15.2
monochrome 12
etching 12
street 9.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-46
Gender Male, 99.1%
Calm 95.7%
Surprised 6.4%
Fear 6.1%
Angry 2.9%
Sad 2.3%
Confused 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 22-30
Gender Male, 100%
Happy 82.1%
Fear 10.6%
Surprised 6.5%
Calm 2.9%
Angry 2.8%
Sad 2.5%
Disgusted 1%
Confused 0.2%

AWS Rekognition

Age 28-38
Gender Male, 99%
Calm 41.1%
Happy 35.5%
Surprised 8%
Disgusted 7.8%
Fear 7.2%
Angry 5.9%
Sad 2.9%
Confused 1.1%

AWS Rekognition

Age 29-39
Gender Male, 99.8%
Sad 99.7%
Angry 13.8%
Fear 11.7%
Surprised 6.7%
Calm 3.4%
Happy 1.7%
Disgusted 0.8%
Confused 0.8%

AWS Rekognition

Age 33-41
Gender Male, 98.9%
Calm 59.7%
Angry 30.7%
Surprised 7.1%
Fear 6%
Disgusted 4.8%
Sad 2.4%
Confused 1.6%
Happy 0.4%

AWS Rekognition

Age 26-36
Gender Male, 90.3%
Calm 91.2%
Surprised 6.4%
Fear 6.2%
Sad 3.9%
Disgusted 1.7%
Angry 0.9%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 24-34
Gender Female, 50%
Calm 84.7%
Sad 9.3%
Fear 6.9%
Surprised 6.5%
Angry 0.5%
Disgusted 0.5%
Confused 0.4%
Happy 0.3%

Feature analysis

Amazon

Adult 98.9%
Male 98.9%
Man 98.9%
Person 98.9%

Categories

Captions

Text analysis

Amazon

1783
Feel
Deuchait Feel
Deuchait