Human Generated Data

Title

Illustration for Canto I

Date

16th century

People

Artist: Antonio Tempesta, Italian 1555 - 1630

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Melvin R. Seiden, S8.72.2

Human Generated Data

Title

Illustration for Canto I

People

Artist: Antonio Tempesta, Italian 1555 - 1630

Date

16th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Melvin R. Seiden, S8.72.2

Machine Generated Data

Tags

Amazon
created on 2019-04-02

Mammal 97.4
Animal 97.4
Horse 97.4
Person 95.6
Human 95.6
Art 95.5
Person 89.2
Person 80.1
Person 79.9
Person 77
Painting 74.8
Horse 72.4
Person 59
Person 46.1

Clarifai
created on 2018-04-18

people 100
print 100
illustration 99.9
engraving 99.9
group 99.6
many 99.1
art 99
cavalry 98.8
man 98.6
woodcut 98.6
adult 98.3
military 97.6
lithograph 97.4
slavery 97.1
administration 96.2
soldier 94.6
etching 93.9
leader 93.9
war 93.8
army 92.9

Imagga
created on 2018-04-18

sketch 100
drawing 100
representation 73.4
snow 59.1
winter 33.2
tree 30.9
landscape 30.5
weather 25.5
forest 25.2
grunge 23.9
cold 22.4
frost 22.1
season 21.8
frozen 21
vintage 19
branch 18.2
texture 18.1
old 17.4
ice 17.4
outdoors 16.4
trees 16
design 15.8
park 15.6
woods 15.3
rural 15
sky 14.7
art 14.6
scene 13.9
pattern 13.7
natural 13.4
wood 12.5
cool 12.4
silhouette 12.4
antique 12.3
seasonal 12.3
wallpaper 12.3
outdoor 12.2
backgrounds 12.2
scenery 11.7
aged 10.9
frame 10.8
paper 10.2
plant 9.9
horizon 9.9
snowy 9.7
scenic 9.7
ancient 9.5
architecture 9.4
border 9
dirty 9
black 9
retro 9
color 8.9
mountain 8.9
rime 8.9
artistic 8.7
stain 8.6
scenics 8.6
field 8.4
style 8.2
paint 8.2
history 8.1
graphic 8
crystal 8
day 7.8
travel 7.7
fog 7.7
ink 7.7
flower 7.7
rustic 7.7
grungy 7.6
wilderness 7.6
house 7.5
decorative 7.5
decoration 7.5
mountains 7.4
brown 7.4
light 7.4
tranquil 7.2
morning 7.2
road 7.2
country 7

Google
created on 2018-04-18

Microsoft
created on 2018-04-18

text 97.9
outdoor 97.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.8%
Surprised 45.1%
Angry 45.2%
Sad 45.1%
Disgusted 45%
Confused 45%
Calm 54.5%
Happy 45%

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Happy 45.1%
Sad 50.3%
Disgusted 45.1%
Calm 48.6%
Angry 45.3%
Confused 45.3%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Angry 48.5%
Sad 46.6%
Calm 48.3%
Confused 45.6%
Disgusted 45.5%
Surprised 45.4%
Happy 45.1%

AWS Rekognition

Age 35-55
Gender Female, 50.8%
Surprised 45.4%
Disgusted 45.2%
Calm 47%
Sad 50.8%
Happy 45.6%
Confused 45.5%
Angry 45.6%

AWS Rekognition

Age 26-43
Gender Female, 52.2%
Sad 47.2%
Confused 45.1%
Disgusted 45.1%
Happy 48.3%
Angry 48.6%
Surprised 45.2%
Calm 45.6%

AWS Rekognition

Age 26-44
Gender Male, 54.1%
Confused 45.1%
Angry 45.9%
Surprised 45.1%
Calm 50.6%
Sad 48.2%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 38-59
Gender Male, 54.5%
Confused 46.6%
Angry 45.3%
Disgusted 45.2%
Surprised 45.3%
Calm 49.5%
Sad 47.8%
Happy 45.4%

Feature analysis

Amazon

Horse 97.4%
Person 95.6%
Painting 74.8%

Text analysis

Amazon

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Google

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