Human Generated Data

Title

Act Eleven (Jūichi danme) from the series The Storehouse of Loyal Retainers (Chūshingura)
Date

1843-1845 (Tenpō 14 - Kōka 2)
People

Artist: Utagawa Hiroshige, Japanese 1797 - 1858

Publisher: Aritaya Seiemon,

Classification

Prints

Human Generated Data

Title

Act Eleven (Jūichi danme) from the series The Storehouse of Loyal Retainers (Chūshingura)

People

Artist: Utagawa Hiroshige, Japanese 1797 - 1858

Publisher: Aritaya Seiemon,

Date

1843-1845 (Tenpō 14 - Kōka 2)

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 90.3
Human 90.3
Person 87.3
Person 85
Person 82
Leisure Activities 81.6
Person 81.3
Person 73.2
Circus 71.9
Person 65.1
Art 63.3
Boat 60.7
Vehicle 60.7
Transportation 60.7
Person 60.6
Crowd 58

Clarifai

print 99.2
people 98.7
illustration 98.2
art 97.5
painting 96.4
man 94.7
vintage 93.6
lithograph 92.1
old 90.7
ship 90.6
travel 90.2
adult 90
vehicle 89.7
group 89.4
woman 88.1
watercraft 86.2
child 85.8
ancient 84.8
street 83.9
retro 83.6

Imagga

graffito 26.8
decoration 20.9
old 16.7
yacht 15.3
vessel 15
vintage 14
art 14
park 13.8
flag 13.7
money 12.8
sea 12.3
boat 11.9
card 11.9
emblem 11.7
comic book 11.4
man 10.7
retro 10.6
color 10.6
fisherman 10.6
antique 10.4
ancient 10.4
business 10.3
grunge 10.2
sky 10.2
drawing 10.2
colorful 10
travel 9.9
letter 9.2
tourism 9.1
fun 9
religion 9
ocean 8.8
vehicle 8.8
stamp 8.7
paper 8.6
design 8.6
finance 8.4
religious 8.4
people 8.4
gold 8.2
sketch 8.2
paint 8.1
painting 8.1
currency 8.1
history 8
water 8
postage 7.9
architecture 7.8
tract 7.8
summer 7.7
wall 7.7
mail 7.7
stick 7.6
historical 7.5
house 7.5
city 7.5
graphic 7.3
transportation 7.2
building 7.1

Google

Art 83.1
Painting 82.2
Cartoon 80.7
Mural 64.6
Illustration 62.3
Fiction 57
History 54.1
Fictional character 52.8

Microsoft

cartoon 98.6
painting 93.7
drawing 90
person 75.4
ship 74.8
poster 66.9

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 45.2%
Sad 45.1%
Calm 54.5%
Disgusted 45.1%
Happy 45%
Surprised 45.2%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Disgusted 45.2%
Sad 49%
Calm 48.3%
Angry 46.9%
Happy 45.3%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 50.7%
Sad 45%
Confused 45.1%
Angry 45.2%
Happy 45.1%
Disgusted 47.2%
Calm 46.7%

AWS Rekognition

Age 23-38
Gender Male, 53%
Angry 46%
Surprised 46.2%
Happy 45.2%
Disgusted 45.1%
Sad 46.1%
Confused 45.2%
Calm 51.3%

AWS Rekognition

Age 23-38
Gender Male, 52.1%
Surprised 45%
Confused 45%
Happy 45%
Sad 45.1%
Angry 45%
Calm 54.8%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Confused 45.6%
Angry 46.4%
Surprised 45.7%
Disgusted 46.7%
Sad 46.9%
Happy 45.1%
Calm 48.6%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 45.3%
Sad 45.2%
Calm 54.4%
Disgusted 45%
Happy 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 46.3%
Happy 45.2%
Confused 45.2%
Calm 49.4%
Sad 48.1%
Surprised 45.4%
Disgusted 45.4%

AWS Rekognition

Age 60-80
Gender Male, 50.2%
Happy 45.4%
Angry 47.7%
Disgusted 47.1%
Confused 45.4%
Surprised 45.7%
Calm 46.1%
Sad 47.5%

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Disgusted 45.4%
Happy 45.3%
Sad 50.2%
Calm 47.6%
Angry 45.9%
Confused 45.2%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 53%
Happy 45.2%
Sad 46.4%
Calm 46.3%
Disgusted 47.6%
Angry 48.7%
Confused 45.4%
Surprised 45.5%

Feature analysis

Amazon

Person 90.3%
Boat 60.7%

Text analysis

Amazon

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