Human Generated Data

Title

Study for "Passage to Etna"

Date

c. 1956

People

Artist: Peter Blume, American 1906 - 1992

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Mrs. Edward L. Holsten, in memory of her husband, Edward Lawrence Holsten, class of 1922, 1960.723

Copyright

© Peter Blume Estate / Artists Rights Society (ARS), New York

Human Generated Data

Title

Study for "Passage to Etna"

People

Artist: Peter Blume, American 1906 - 1992

Date

c. 1956

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Mrs. Edward L. Holsten, in memory of her husband, Edward Lawrence Holsten, class of 1922, 1960.723

Copyright

© Peter Blume Estate / Artists Rights Society (ARS), New York

Machine Generated Data

Tags

Amazon
created on 2020-04-24

Art 91.9
Poster 88.9
Advertisement 88.9
Painting 81.9
Face 61.5
Drawing 58.2

Clarifai
created on 2020-04-24

art 97.1
people 96
vintage 90
old 89.5
illustration 88.5
man 88.3
retro 86.7
street 85.9
picture frame 85.3
war 84.8
desktop 82.6
bill 81.5
painting 81.4
fear 79.9
texture 79.6
visuals 78.8
adult 78.6
group 78
fright 76.9
monochrome 76.1

Imagga
created on 2020-04-24

device 30.4
sculpture 28.9
old 28.5
fastener 27.7
statue 23.2
architecture 21.9
ancient 21.6
art 19.9
lock 19.8
padlock 19.8
antique 19.2
knocker 19
restraint 18.5
building 18.2
door 17.7
detail 16.9
temple 16.4
history 15.2
wall 14.6
stone 14.4
religion 14.3
decoration 13.3
culture 12.8
house 12.5
city 12.5
carving 12.3
travel 12
vintage 11.6
historical 11.3
metal 11.3
historic 11
wooden 10.5
catch 10.5
fountain 10.1
wood 10
bronze 9.8
god 9.6
latch 9.3
water 9.3
monument 9.3
famous 9.3
window 9.1
texture 9
figure 8.4
religious 8.4
iron 8.4
structure 8.3
chain 8.1
face 7.8
entrance 7.7
rust 7.7
tourism 7.4
church 7.4
tourist 7.2
black 7.2
brass 7.2
body 7.2
home 7.2

Google
created on 2020-04-24

Microsoft
created on 2020-04-24

text 99
drawing 91.6
painting 87.6
poster 84.9
cartoon 82.3
sketch 79.5
different 36.7

Color Analysis

Feature analysis

Amazon

Poster 88.9%

Categories