Human Generated Data

Title

Triptych: Sumō Wrestling Tournament (Kanzin ōsumō torikumi no zu)

Date

Late Edo period, 1858

People

Artist: Utagawa Kunisada, Japanese 1786 - 1864

Classification

Prints

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of the Friends of Arthur B. Duel, 1933.4.720.-722

Human Generated Data

Title

Triptych: Sumō Wrestling Tournament (Kanzin ōsumō torikumi no zu)

People

Artist: Utagawa Kunisada, Japanese 1786 - 1864

Date

Late Edo period, 1858

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-07-06

Art 89.7
Human 83.8
Painting 80.8
Poster 74.2
Advertisement 74.2
Mural 71.9
Animal 63.8
Bird 63.8
Leisure Activities 63.6
People 62.8
Drawing 62.4
Person 45.1

Clarifai
created on 2019-07-06

art 94.8
people 94.2
illustration 92.5
street 91.7
city 91.5
travel 90.7
painting 90
print 88.3
old 88
culture 86.3
graffiti 86
tourism 85.8
design 85.2
color 84.5
wall 83.8
religion 82.9
vintage 82.5
pattern 82.2
desktop 81.5
urban 81.3

Imagga
created on 2019-07-06

jigsaw puzzle 91.9
puzzle 74.4
game 53.3
map 39.6
comic book 32.3
money 29.8
currency 27.8
geography 27
paper 25.9
finance 25.4
cash 23.8
economy 23.2
old 20.9
vintage 20.7
business 20.7
financial 20.5
world 19.5
graffito 18.3
grunge 17.9
atlas 17.6
wealth 17.1
art 15.9
retro 15.6
travel 15.5
bank 15.2
note 14.7
global 14.6
decoration 14.3
bill 14.3
country 14.1
antique 13.9
pattern 13.7
navigation 13.5
exchange 13.4
dollar 13
print media 12.9
economics 12.7
texture 12.5
profit 12.4
page 12.1
banknote 11.7
city 11.6
states 11.6
nation 11.4
plan 11.4
drawing 11.3
design 11.3
card 11.1
continent 10.7
capital 10.4
savings 10.3
globe 10.2
symbol 10.1
color 10
gold 9.9
banknotes 9.8
wealthy 9.8
value 9.7
payment 9.6
planet 9.4
banking 9.2
earth 9.1
tourism 9.1
paint 9.1
border 9
road 9
route 8.8
graphic 8.8
scrapbook 8.7
torn 8.7
ancient 8.7
mail 8.6
direction 8.6
commerce 8.4
frame 8.3
mosaic 8.3
letter 8.3
dirty 8.1
postmark 7.9
navigate 7.9
location 7.8
discovery 7.8
bills 7.8
sepia 7.8
change 7.7
pay 7.7
notes 7.7
wallpaper 7.7
north 7.7
trade 7.7
international 7.6
save 7.6
grungy 7.6
journey 7.5
close 7.4
painting 7.2
cartoon 7.1
market 7.1

Google
created on 2019-07-06

Art 89.6
Painting 85.8
Mural 76.7
Illustration 76.4
Modern art 73.9
Textile 65.6
Visual arts 64.9
World 60.5
Artwork 56
Anime 52.1
Fiction 51.4

Microsoft
created on 2019-07-06

cartoon 99.3
drawing 90.8
illustration 87.8
poster 85.1
child art 82.4
painting 81.1
book 63
bedclothes 62.2
colorful 37

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Surprised 51.9%
Confused 45.6%
Angry 45.7%
Sad 45.2%
Disgusted 45.2%
Calm 45.6%
Happy 45.7%

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Disgusted 45.3%
Confused 45.8%
Calm 51.4%
Angry 45.5%
Sad 45.5%
Surprised 46.4%
Happy 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.5%
Confused 45.6%
Happy 45.2%
Surprised 45.6%
Sad 45.8%
Calm 50.3%
Angry 47%

AWS Rekognition

Age 23-38
Gender Male, 55%
Angry 45.6%
Confused 45.2%
Surprised 45.2%
Disgusted 45.1%
Happy 45%
Calm 51%
Sad 47.8%

AWS Rekognition

Age 27-44
Gender Male, 52.4%
Sad 54.2%
Confused 45%
Happy 45%
Calm 45.2%
Surprised 45.1%
Angry 45.4%
Disgusted 45.1%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Sad 54.7%
Angry 45.1%
Surprised 45.1%
Happy 45%
Calm 45.1%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 14-23
Gender Male, 53.2%
Disgusted 45.1%
Sad 45.6%
Happy 45.1%
Calm 46.5%
Angry 45.7%
Surprised 51.2%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 45.5%
Confused 45.6%
Happy 45.6%
Sad 48.1%
Angry 45.7%
Calm 49.3%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Happy 45.1%
Sad 53.7%
Disgusted 45.1%
Calm 45.2%
Confused 45.6%
Angry 45.2%
Surprised 45.1%

AWS Rekognition

Age 49-69
Gender Male, 54.7%
Sad 47.7%
Confused 45.5%
Happy 45.4%
Calm 50%
Surprised 45.7%
Angry 45.5%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Male, 54.7%
Disgusted 45.3%
Happy 45.1%
Sad 49.9%
Calm 47.3%
Angry 46.1%
Confused 45.9%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Male, 54.4%
Sad 45.3%
Confused 45.1%
Happy 45.1%
Surprised 45.1%
Calm 53.4%
Disgusted 45%
Angry 45.9%

AWS Rekognition

Age 20-38
Gender Male, 54%
Surprised 45.5%
Confused 45.3%
Happy 45.7%
Sad 48.1%
Angry 45.9%
Calm 49.1%
Disgusted 45.3%

AWS Rekognition

Age 16-27
Gender Female, 54.1%
Angry 45.4%
Happy 45.3%
Confused 45.2%
Calm 45.4%
Sad 52.6%
Surprised 46%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 51.5%
Disgusted 45%
Happy 45%
Angry 45.1%
Calm 45.5%
Sad 54.2%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.5%
Surprised 46.1%
Confused 45.1%
Angry 45.4%
Disgusted 45.1%
Happy 46.4%
Sad 51.6%
Calm 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Happy 45.1%
Sad 51.1%
Calm 45.3%
Disgusted 45.1%
Angry 46.7%
Confused 45.4%
Surprised 46.1%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 48.9%
Angry 46.9%
Disgusted 45.6%
Confused 45.5%
Surprised 46.3%
Happy 45.9%
Calm 45.9%

AWS Rekognition

Age 20-38
Gender Male, 50.8%
Angry 46.2%
Happy 48.6%
Disgusted 46.6%
Calm 45.4%
Surprised 46.3%
Confused 45.6%
Sad 46.3%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Angry 45.6%
Sad 46%
Confused 45.6%
Disgusted 45.2%
Surprised 45.6%
Calm 51.5%
Happy 45.4%

AWS Rekognition

Age 23-38
Gender Female, 51.6%
Angry 47.8%
Happy 45.3%
Disgusted 47.1%
Calm 45.8%
Surprised 45.7%
Confused 45.3%
Sad 48%

AWS Rekognition

Age 23-38
Gender Female, 53.7%
Disgusted 45.6%
Surprised 46.5%
Calm 47.4%
Confused 46%
Sad 47.1%
Happy 46.8%
Angry 45.6%

AWS Rekognition

Age 26-43
Gender Female, 54.3%
Happy 45.6%
Calm 50.2%
Angry 46%
Disgusted 45.3%
Sad 47.3%
Surprised 45.4%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 45.3%
Calm 48%
Happy 45.1%
Sad 48.7%
Angry 47.5%
Confused 45.1%
Disgusted 45.3%

AWS Rekognition

Age 23-38
Gender Female, 54.8%
Calm 52.8%
Happy 45.3%
Angry 45.4%
Surprised 45.5%
Disgusted 45.5%
Sad 45.3%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 54.3%
Confused 45.7%
Happy 50%
Angry 46.3%
Sad 45.6%
Calm 46%
Disgusted 45.9%
Surprised 45.6%

Feature analysis

Amazon

Poster 74.2%
Bird 63.8%
Person 45.1%

Text analysis

Amazon

104C
TIX

Google

新進大相模取組备