Human Generated Data

Title

Military Scene

Date

19th century

People

Artist: Ferdinand-Victor-Eugène Delacroix, French 1798 - 1863

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of an anonymous donor and the Marian H. Phinney Fund, 2000.87

Human Generated Data

Title

Military Scene

People

Artist: Ferdinand-Victor-Eugène Delacroix, French 1798 - 1863

Date

19th century

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of an anonymous donor and the Marian H. Phinney Fund, 2000.87

Machine Generated Data

Tags

Amazon
created on 2020-05-01

Person 98.8
Human 98.8
Person 98.4
Art 97.6
Person 97.2
Person 94.6
Painting 92.6
Person 76.8
Animal 68
Cattle 68
Mammal 68
Cow 68
Person 67.9
Person 65.1
Person 54.9
Person 47.7

Clarifai
created on 2020-05-01

people 99.9
group 99.5
many 99.4
cavalry 99.3
print 99.1
illustration 98.7
mammal 98.6
engraving 98.1
art 98
adult 96.6
canine 93.9
man 93.3
cattle 93
war 89
soldier 87.9
livestock 87.8
administration 87.7
military 87.3
slavery 85.6
crowd 85.2

Imagga
created on 2020-05-01

fountain 55.8
structure 41.4
travel 18.3
rock 16.5
old 16
landscape 15.6
world 14.8
tourism 14
park 14
black 13.8
grunge 13.6
man 12.8
sand 12.4
sky 12.1
water 12
outdoor 11.5
vacation 11.5
outdoors 11.3
spectator 11.3
stone 11
people 10.6
texture 10.4
national 10
vintage 9.9
coast 9.9
history 9.8
mountain 9.8
military 9.7
scenic 9.6
building 9.5
sea 9.5
winter 9.4
person 9.3
ocean 9.2
protection 9.1
scenery 9
canyon 8.9
natural 8.7
ancient 8.6
snow 8.4
shore 8.4
danger 8.2
dirty 8.1
art 8
tree 7.9
beach 7.8
soldier 7.8
architecture 7.8
male 7.8
scene 7.8
antique 7.8
color 7.8
men 7.7
life 7.7
pattern 7.5
city 7.5
landmark 7.2
day 7.1

Google
created on 2020-05-01

Microsoft
created on 2020-05-01

drawing 99.5
sketch 99
painting 97.8
text 97.3
outdoor 95.1
child art 87.8
person 87.3
horse 85.1
illustration 74.1
art 56.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-42
Gender Female, 54.7%
Happy 46.2%
Angry 46.1%
Surprised 49.4%
Confused 45.4%
Calm 45.4%
Sad 45.3%
Disgusted 45.1%
Fear 47.2%

AWS Rekognition

Age 33-49
Gender Female, 50.9%
Fear 45.3%
Sad 51.7%
Disgusted 45%
Surprised 45%
Calm 46.3%
Angry 46.5%
Confused 45.1%
Happy 45%

AWS Rekognition

Age 40-58
Gender Male, 54%
Surprised 45.7%
Happy 45.3%
Sad 48%
Confused 45.4%
Disgusted 45.3%
Calm 45.4%
Angry 45.3%
Fear 49.7%

AWS Rekognition

Age 12-22
Gender Female, 53%
Happy 45.2%
Fear 45.1%
Calm 45.6%
Sad 53.8%
Disgusted 45%
Angry 45.2%
Confused 45.1%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 50.3%
Fear 49.5%
Calm 49.6%
Sad 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Surprised 50.3%
Confused 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50.4%
Fear 49.6%
Confused 49.5%
Angry 49.8%
Disgusted 49.6%
Surprised 49.5%
Happy 49.6%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 1-7
Gender Female, 50.1%
Sad 49.5%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%
Calm 49.7%
Angry 50%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Male, 52.7%
Fear 45.3%
Surprised 46.5%
Angry 45.9%
Disgusted 48.3%
Confused 46.9%
Calm 45.6%
Happy 46.3%
Sad 45.1%

Feature analysis

Amazon

Person 98.8%
Painting 92.6%
Cow 68%

Categories

Imagga

nature landscape 93.4%
pets animals 5%