Human Generated Data

Title

Fortification of the Gate of Livorno by Order of the Grand Duke
Date

17th century
People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Matteo Rosselli, Italian 1578 - 1650
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.91.2

Human Generated Data

Title

Fortification of the Gate of Livorno by Order of the Grand Duke

People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Matteo Rosselli, Italian 1578 - 1650

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.91.2

Machine Generated Data

Tags

Amazon
created on 2019-04-02

Duel 93.2
Art 85.6
Human 78.8
Person 74.2
Drawing 74.1
Painting 74
Person 71.8
Mammal 68
Animal 68
Horse 68
Text 58.4
Sketch 55.4
Person 50.2
Person 45.3

Clarifai
created on 2018-04-18

people 100
print 100
illustration 99.9
group 99.8
art 99.6
adult 99.5
engraving 99.3
many 98.7
man 98.2
weapon 96.1
several 95.8
woman 94.5
painting 94.3
leader 94.2
etching 93.9
two 93.8
cavalry 93.6
wear 93.2
military 92.9
interaction 92.7

Imagga
created on 2018-04-18

map 71.3
representation 52.9
sketch 49.6
drawing 41.5
atlas 38
world 32.8
geography 32.8
old 32.1
antique 31.1
vintage 27.3
globe 24.1
country 23.5
direction 22.9
road 22.6
travel 22.6
grunge 21.3
nation 20.9
route 20.5
navigation 20.2
texture 20.2
planet 19.9
plan 19.9
location 19.6
continent 19.4
wallpaper 19.2
capital 19
pattern 18.5
journey 17.9
navigate 17.7
guide 17.6
discovery 17.5
sepia 17.5
jigsaw puzzle 17.4
expedition 16.8
boundary 16.8
city 15.8
geographic 15.8
paper 15.7
find 15.7
position 15.6
retro 15.6
tour 15.5
states 15.5
puzzle 14.7
cold 14.7
design 14.7
tourism 14
explore 13.7
earth 13.3
gold 13.2
art 13.2
close 13.1
symbol 12.8
global 12.8
splash 12.4
backgrounds 12.2
dirty 11.8
countries 11.7
ice 11.7
frozen 11.5
graphic 11
backdrop 10.7
dutch 10.7
surface 10.6
color 10.6
state 10.5
textured 10.5
path 10.4
snow 10.2
transparent 9.9
cartography 9.8
cool 9.8
north 9.6
game 9.4
winter 9.4
season 9.4
drop 9.1
paint 9.1
border 9.1
detail 8.9
clear 8.7
forest 8.7
water 8.7
frost 8.6
land 8.5
decorative 8.4
clean 8.4
decoration 8.3
history 8.1
wall 8
liquid 7.8
splashing 7.7
rust 7.7
ripple 7.6
horizontal 7.5
bubble 7.5
mosaic 7.5
frame 7.5
east 7.5
landscape 7.4
page 7.4
rough 7.3
aged 7.2
crystal 7.2
material 7.2

Google
created on 2018-04-18

horse like mammal 88.4
black and white 85.7
history 82.1
art 74.6
mythology 66.7
middle ages 60.1
illustration 56.5
drawing 53.6
visual arts 52.1
artwork 51.7

Microsoft
created on 2018-04-18

text 100
book 99.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Male, 90%
Confused 8.2%
Surprised 4%
Calm 65.3%
Sad 12.1%
Angry 3.4%
Happy 4.4%
Disgusted 2.6%

AWS Rekognition

Age 38-57
Gender Male, 97%
Calm 72.8%
Angry 3.9%
Confused 5.6%
Happy 1.5%
Sad 11%
Disgusted 1.3%
Surprised 3.9%

AWS Rekognition

Age 38-59
Gender Male, 54.7%
Angry 45.6%
Confused 45.6%
Calm 48.1%
Sad 46.3%
Disgusted 45.4%
Happy 48.6%
Surprised 45.4%

AWS Rekognition

Age 10-15
Gender Female, 54.2%
Surprised 45.1%
Angry 45.1%
Disgusted 45%
Confused 45.1%
Happy 45%
Calm 48.6%
Sad 51%

AWS Rekognition

Age 14-23
Gender Female, 65.3%
Sad 27%
Angry 9.3%
Confused 11.4%
Calm 23.9%
Happy 2%
Disgusted 4.3%
Surprised 22.2%

AWS Rekognition

Age 23-38
Gender Male, 52.6%
Disgusted 45.3%
Happy 47.9%
Confused 45.6%
Angry 45.7%
Calm 46.8%
Surprised 45.9%
Sad 47.8%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Surprised 5.6%
Disgusted 8.8%
Sad 42%
Happy 11.7%
Confused 6.5%
Calm 17.8%
Angry 7.7%

AWS Rekognition

Age 23-38
Gender Female, 52.7%
Disgusted 45.5%
Sad 48.4%
Calm 48.5%
Happy 45.5%
Angry 46%
Surprised 45.6%
Confused 45.5%

AWS Rekognition

Age 57-77
Gender Male, 53.5%
Disgusted 48.3%
Angry 46%
Sad 46.4%
Calm 47.4%
Happy 45.6%
Surprised 45.6%
Confused 45.8%

AWS Rekognition

Age 23-38
Gender Female, 52.4%
Surprised 45.7%
Happy 45.7%
Angry 45.7%
Disgusted 47.3%
Calm 47.2%
Sad 48.1%
Confused 45.4%

AWS Rekognition

Age 30-47
Gender Male, 53.1%
Angry 45.7%
Surprised 45.4%
Disgusted 46.5%
Happy 45.3%
Calm 46.2%
Sad 50.1%
Confused 45.8%

Feature analysis

Amazon

Person 74.2%
Painting 74%
Horse 68%

Categories

Imagga

nature landscape 50%
paintings art 49.6%
text visuals 0.2%
food drinks 0.1%
beaches seaside 0.1%

Captions

Microsoft
created on 2018-04-18

a close up of a book 36.5%
close up of a book 31.4%
a hand holding a book 31.3%