Human Generated Data

Title

Rules for the Department of Young Ladies (Shōgaku Joreishiki zukai)
Date

Meiji period, circa late 19th century
People

Artist: Adachi Ginkō 安達吟光, Japanese 1853 - 1902
Classification

Prints
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of R. Keith Kane, 1974.11.25.-26

Human Generated Data

Title

Rules for the Department of Young Ladies (Shōgaku Joreishiki zukai)

People

Artist: Adachi Ginkō 安達吟光, Japanese 1853 - 1902

Date

Meiji period, circa late 19th century

Classification

Prints

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of R. Keith Kane, 1974.11.25.-26

Machine Generated Data

Tags

Amazon
created on 2021-12-15

Person 99.1
Human 99.1
Person 98.8
Person 98.2
Person 98.1
Person 97.9
Person 97.8
Person 95.5
Boat 94.8
Vehicle 94.8
Transportation 94.8
Person 94.8
Person 92.7
Person 92.1
Person 87.3
Poster 84.9
Advertisement 84.9
Person 80.2
Interior Design 75.9
Indoors 75.9
Person 74.4
Text 64
Gondola 62.3
Paper 56.7

Clarifai
created on 2023-10-25

people 99.6
print 99.4
illustration 99
painting 98.9
lithograph 98.9
group 98.9
woman 98.9
art 98.1
adult 97.8
child 96.9
man 96.1
vehicle 96
watercraft 94
architecture 93.8
building 92.2
travel 90.8
old 90.3
recreation 90.3
transportation system 90
seat 90

Imagga
created on 2021-12-15

daily 86.4
newspaper 78.1
product 58.8
creation 45.6
money 39.1
currency 36.8
cash 35.7
dollar 29.7
bank 29.6
banking 27.6
wealth 26.9
paper 26.7
finance 26.2
financial 24.9
bill 23.8
business 23.1
exchange 22.9
comic book 22.7
old 22.3
vintage 21.5
savings 20.5
note 19.3
mail 18.2
bills 17.5
banknote 17.5
letter 17.4
stamp 17.4
dollars 17.4
postmark 16.7
close 16.5
retro 16.4
economy 15.8
ancient 15.6
postage 14.7
postal 14.7
banknotes 14.7
envelope 14.6
us 14.5
pay 14.4
philately 13.8
investment 13.7
economic 13.6
states 13.5
notes 13.4
market 13.3
circa 12.8
commerce 12.1
card 11.9
closeup 11.5
rich 11.2
message 11
aged 10.9
franklin 10.8
printed 10.8
hundred 10.6
price 10.6
travel 10.6
success 10.5
shows 9.8
address 9.8
finances 9.6
payment 9.6
used 9.6
loan 9.6
antique 9.5
capital 9.5
symbol 9.4
map 9.2
print media 9.1
world 8.9
fortune 8.7
debt 8.7
profit 8.6
trade 8.6
united 8.6
buy 8.5
stock 8.4
one 8.2
global 8.2
collection 8.1
funds 7.8
economics 7.8
monetary 7.8
legal 7.8
art 7.8
dough 7.8
sales 7.7
post 7.6
people 7.3

Google
created on 2021-12-15

Watercraft 88.6
Textile 87.7
Art 85.4
Rectangle 76.1
Illustration 67.5
Boat 67.2
History 64.6
Painting 59.9
Visual arts 59.2
Flooring 57.1
Room 54.7
Paper product 54.3
Publication 53.6
Advertising 52.8
Pattern 51

Microsoft
created on 2021-12-15

text 98.7
ship 92.6
beach 75.5
boat 70.2
watercraft 69
illustration 59.1
poster 58.9
vehicle 55.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-28
Gender Female, 88.8%
Angry 95.6%
Calm 1.2%
Disgusted 1.2%
Sad 0.6%
Confused 0.5%
Surprised 0.4%
Fear 0.3%
Happy 0.2%

AWS Rekognition

Age 15-27
Gender Female, 81.1%
Calm 90.3%
Surprised 5.4%
Confused 1.3%
Sad 1.3%
Angry 0.8%
Fear 0.4%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 19-31
Gender Female, 95.7%
Calm 88.6%
Fear 4.7%
Sad 3.2%
Surprised 1.2%
Angry 1.2%
Confused 0.5%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 19-31
Gender Female, 53.2%
Calm 38.7%
Angry 26.8%
Fear 14.7%
Surprised 12.5%
Sad 3.5%
Disgusted 1.5%
Happy 1.3%
Confused 0.9%

AWS Rekognition

Age 13-23
Gender Female, 99.7%
Calm 57.8%
Angry 16.4%
Happy 15.8%
Fear 3.1%
Surprised 2.9%
Sad 2.3%
Disgusted 1%
Confused 0.7%

AWS Rekognition

Age 3-11
Gender Female, 89%
Angry 93.1%
Confused 2.2%
Calm 1.3%
Sad 0.9%
Surprised 0.9%
Happy 0.7%
Disgusted 0.5%
Fear 0.4%

AWS Rekognition

Age 22-34
Gender Female, 66.1%
Calm 24.9%
Angry 24.4%
Surprised 15.6%
Sad 13.5%
Confused 9.5%
Fear 6.3%
Happy 3.7%
Disgusted 2.2%

AWS Rekognition

Age 20-32
Gender Female, 84.1%
Angry 82.5%
Calm 10.1%
Sad 5.9%
Fear 0.4%
Confused 0.3%
Surprised 0.3%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 12-22
Gender Female, 56.7%
Surprised 49.8%
Calm 46.1%
Confused 2%
Angry 0.7%
Happy 0.6%
Sad 0.4%
Disgusted 0.2%
Fear 0.2%

AWS Rekognition

Age 0-3
Gender Female, 92.3%
Sad 46.6%
Angry 40.1%
Calm 9.5%
Confused 1.8%
Happy 1%
Fear 0.7%
Disgusted 0.2%
Surprised 0.1%

AWS Rekognition

Age 13-23
Gender Male, 55.6%
Angry 96.2%
Calm 2.6%
Sad 0.4%
Confused 0.2%
Surprised 0.2%
Happy 0.1%
Fear 0.1%
Disgusted 0.1%

Feature analysis

Amazon

Person 99.1%
Boat 94.8%
Poster 84.9%

Categories

Imagga

paintings art 96.4%
beaches seaside 2.3%

Captions

Microsoft
created on 2021-12-15

calendar 43.5%

Text analysis

Amazon

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