Human Generated Data

Title

The Fall of Fenghuangcheng: Putting the Enemy to Rout (Hōōjō kanraku tekihei kaisō zu)
Date

1894 (Meiji 27)
People

Artist: Mizuno Toshikata, Japanese 1866 - 1909

Publisher: Akiyama Buemon (Kokkeidô)　秋山武右工門,

Classification

Prints
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mrs. Henry G. Vaughan, 1944.5.9

Human Generated Data

Title

The Fall of Fenghuangcheng: Putting the Enemy to Rout (Hōōjō kanraku tekihei kaisō zu)

People

Artist: Mizuno Toshikata, Japanese 1866 - 1909

Publisher: Akiyama Buemon (Kokkeidô)　秋山武右工門,

Date

1894 (Meiji 27)

Classification

Prints

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mrs. Henry G. Vaughan, 1944.5.9

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Person 99
Human 99
Person 96.3
Person 90.7
Person 88.7
Art 88.2
Military Uniform 86
Military 86
Painting 85.5
Person 84.3
Person 81.3
Person 77
People 73
Person 72.4
Soldier 70.3
Duel 55

Clarifai
created on 2023-10-27

illustration 99.8
people 99.3
print 98.7
group 98.5
art 97.7
man 96.7
adult 95.6
wear 95.6
painting 94.2
military 94
lid 93.7
vintage 92.8
lithograph 91.6
group together 91.6
soldier 90.7
vehicle 90.5
recreation 90.4
weapon 90.4
uniform 89.7
many 89.4

Imagga
created on 2022-01-23

man 22.8
stick 19.2
astronaut 18.7
comic book 18.1
winter 17.9
male 17.7
hockey stick 17
sled 16.3
people 15.6
snow 15.3
vehicle 15.1
sport 13.8
person 13.6
cold 12.9
ski 11.8
art 11.7
black 11.4
travel 11.3
sports equipment 10.6
equipment 10.3
grunge 10.2
lifestyle 10.1
painting 9.9
cool 9.8
landscape 9.7
body 9.6
men 9.4
drawing 9.3
outdoor 9.2
silhouette 9.1
paint 9
scene 8.6
holiday 8.6
conveyance 8.5
adult 8.5
studio 8.4
city 8.3
weapon 8.2
fun 8.2
retro 8.2
style 8.2
activity 8.1
mountain 8
urban 7.9
artistic 7.8
ice 7.7
decoration 7.6
power 7.6
horizontal 7.5
bass 7.5
design 7.3
print media 7.2
cartoon 7.1
day 7.1
season 7

Google
created on 2022-01-23

Art 83.6
Painting 82.1
Paint 75.6
Boats and boating--Equipment and supplies 73.8
Illustration 73.2
Boat 71.9
Recreation 71.4
Crew 70.2
Visual arts 69.4
Hat 69.4
Drawing 69.2
Fictional character 68.9
Event 65.2
Mythology 64.7
Fiction 64.1
Comics 63.9
Watercolor paint 62.5
Mural 60.8
Graffiti 60.3
Artwork 57.9

Microsoft
created on 2022-01-23

text 99.3
book 98.1
drawing 96.3
illustration 92.4
cartoon 90.9
person 90.8
sketch 81.6
clothing 80.8
painting 69.3
art 50.9
several 20.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-51
Gender Male, 84.3%
Angry 52.4%
Sad 33.7%
Disgusted 4.1%
Confused 3%
Surprised 2.1%
Fear 2%
Calm 1.7%
Happy 0.8%

AWS Rekognition

Age 14-22
Gender Female, 54.4%
Calm 72.8%
Disgusted 12.1%
Angry 4.3%
Surprised 3.5%
Sad 3.1%
Confused 2.6%
Happy 0.8%
Fear 0.7%

AWS Rekognition

Age 18-26
Gender Female, 70.1%
Sad 36.8%
Disgusted 20.8%
Calm 19.2%
Confused 9.5%
Surprised 6.1%
Angry 4.8%
Fear 1.5%
Happy 1.4%

AWS Rekognition

Age 18-24
Gender Female, 99.9%
Calm 94.8%
Sad 3.1%
Happy 0.7%
Surprised 0.6%
Fear 0.2%
Confused 0.2%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 20-28
Gender Male, 86.9%
Sad 67.9%
Calm 25%
Confused 3.2%
Happy 1.2%
Surprised 1.1%
Fear 0.8%
Angry 0.4%
Disgusted 0.3%

AWS Rekognition

Age 22-30
Gender Female, 61.8%
Calm 95.1%
Sad 3%
Angry 1%
Confused 0.4%
Surprised 0.2%
Fear 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 36-44
Gender Male, 97.6%
Sad 85.7%
Calm 5.6%
Angry 4.5%
Confused 2.4%
Fear 0.6%
Happy 0.6%
Disgusted 0.4%
Surprised 0.3%

AWS Rekognition

Age 30-40
Gender Male, 97.7%
Calm 60.4%
Confused 24.7%
Sad 9.2%
Surprised 2.4%
Angry 1.6%
Disgusted 1%
Fear 0.4%
Happy 0.3%

AWS Rekognition

Age 21-29
Gender Male, 90.4%
Calm 99.1%
Happy 0.2%
Sad 0.2%
Surprised 0.2%
Disgusted 0.1%
Angry 0.1%
Confused 0.1%
Fear 0%

AWS Rekognition

Age 12-20
Gender Female, 98.7%
Calm 60.4%
Surprised 12.4%
Fear 10.5%
Disgusted 6.1%
Sad 3.6%
Happy 3.6%
Confused 2.1%
Angry 1.4%

Feature analysis

Amazon

Person 99%
Painting 85.5%

Categories

Imagga

paintings art 58.4%
beaches seaside 31.1%
streetview architecture 6%

Captions

Text analysis

Amazon

:
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Google

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