Human Generated Data

Title

A Banquet with Entertainment

Date

about 1795 (Kansei 7)

People

Artist: Chōbunsai Eishi 鳥文斎栄之, Japanese 1756 - 1829

Classification

Prints

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of the Friends of Arthur B. Duel, 1933.4.821.-823

Human Generated Data

Title

A Banquet with Entertainment

People

Artist: Chōbunsai Eishi 鳥文斎栄之, Japanese 1756 - 1829

Date

about 1795 (Kansei 7)

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2021-11-03

Clothing 95.2
Apparel 95.2
Human 93.8
Person 93.8
Painting 87.6
Art 87.6
Comics 83.4
Book 83.4
Person 76.3
Robe 76
Fashion 76
Person 75.7
Person 74.4
Person 70.9
Gown 67.6
Person 64.3
Kimono 55.9
Person 54.4
Person 41.5

Imagga
created on 2021-11-03

graffito 91.9
decoration 60.3
comic book 24.7
grunge 22.1
antique 21.6
vintage 21.5
art 19.6
map 19.4
ancient 19
old 18.8
retro 18
drawing 14.6
design 14.1
paper 14.1
business 14
texture 13.9
world 13.3
global 12.8
geography 12.5
silhouette 12.4
cartoon 11.6
wall 11.3
money 11.1
sketch 10.9
aged 10.9
man 10.8
book jacket 10.4
graphic 10.2
dirty 9.9
print media 9.9
travel 9.9
history 9.8
pattern 9.6
plan 9.5
letter 9.2
gold 9
painting 9
covering 9
black 9
color 8.9
stamp 8.7
frame 8.6
earth 8.2
music 8.1
jacket 8.1
material 8
country 7.9
decorative 7.5
style 7.4
clip art 7.4
globe 7.4
symbol 7.4
male 7.1

Google
created on 2021-11-03

Hairstyle 95.1
Vertebrate 92.2
Human 89.3
Textile 87.3
Organism 87
Cartoon 86.1
Mammal 85.4
Art 82.9
Painting 78.6
Pattern 74.2
Illustration 73.8
Recreation 73.7
Sakko 73.6
Poster 71.8
Shimada 71.2
Font 70.6
Drawing 69.1
History 63.7
Visual arts 61.9
Fiction 52.4

Microsoft
created on 2021-11-03

cartoon 98.5
drawing 97.7
sketch 89.8
text 89.5
clothing 89.3
person 88.3
illustration 82.3
woman 63.2
poster 57.7
book 53.1
different 34.1

Face analysis

Amazon

AWS Rekognition

Age 19-31
Gender Male, 83%
Calm 69.3%
Surprised 19.3%
Sad 4%
Happy 3.4%
Disgusted 2.1%
Confused 1.1%
Angry 0.6%
Fear 0.3%

AWS Rekognition

Age 18-30
Gender Male, 86.1%
Calm 40.6%
Confused 32.1%
Surprised 7.7%
Happy 7.5%
Disgusted 4.4%
Sad 4.1%
Angry 3.2%
Fear 0.5%

AWS Rekognition

Age 19-31
Gender Female, 51.1%
Calm 71.8%
Disgusted 19.9%
Angry 5%
Sad 1.6%
Happy 0.6%
Surprised 0.4%
Confused 0.4%
Fear 0.1%

AWS Rekognition

Age 18-30
Gender Male, 86.2%
Confused 65.7%
Surprised 28.3%
Calm 3.1%
Disgusted 2%
Sad 0.3%
Angry 0.3%
Happy 0.2%
Fear 0.1%

AWS Rekognition

Age 12-22
Gender Male, 80.4%
Calm 42.5%
Confused 21.4%
Surprised 15.5%
Disgusted 9.9%
Happy 5.3%
Sad 2.7%
Angry 2.2%
Fear 0.5%

AWS Rekognition

Age 21-33
Gender Male, 89.3%
Sad 59%
Calm 29.9%
Happy 6.6%
Fear 1.4%
Surprised 1.3%
Angry 1%
Confused 0.7%
Disgusted 0.1%

AWS Rekognition

Age 19-31
Gender Male, 74.7%
Calm 90.4%
Angry 3.1%
Sad 2.8%
Happy 1.5%
Confused 1.1%
Disgusted 0.6%
Surprised 0.3%
Fear 0.1%

AWS Rekognition

Age 19-31
Gender Female, 80%
Calm 98%
Sad 0.6%
Happy 0.3%
Surprised 0.3%
Disgusted 0.3%
Confused 0.3%
Angry 0.2%
Fear 0%

AWS Rekognition

Age 19-31
Gender Male, 96.4%
Calm 83.5%
Disgusted 6.5%
Angry 3.9%
Confused 2.2%
Happy 1.7%
Sad 1.1%
Surprised 1%
Fear 0.1%

Feature analysis

Amazon

Person 93.8%
Painting 87.6%

Captions

Microsoft

map 56.5%

Text analysis

Google

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