Human Generated Data

Title

Six Double Water Towers

Date

1972

People

Artist: Bernd and Hilla Becher, German active 1959 - 2007

Artist: Bernd Becher, German 1931 - 2007

Artist: Hilla Becher, German 1934 - 2015

Classification

Prints

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Hugo Reisinger Bequest Fund, 1992.357.-362

Copyright

© Estate Bernd & Hilla Becher, represented by Max Becher, 2020

Human Generated Data

Title

Six Double Water Towers

People

Artist: Bernd and Hilla Becher, German active 1959 - 2007

Artist: Bernd Becher, German 1931 - 2007

Artist: Hilla Becher, German 1934 - 2015

Date

1972

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2021-12-15

Text 98.6
Page 98.6
Home Decor 55.7

Imagga
created on 2021-12-15

frame 74.2
design 34.8
border 34.5
photograph 32.3
texture 30.6
blank 30.4
pattern 27.4
representation 26.5
paper 24.4
empty 23.3
element 19.9
art 18.5
creation 18.4
backdrop 17.3
card 17.2
graphic 16.8
decoration 16.6
space 16.3
document 15.8
textured 15.8
corner 15.4
grunge 15.4
sheet 15.1
page 14.9
message 14.7
office 14.5
notebook 13.7
antique 13.2
wallpaper 13.1
note 12.9
vintage 12.4
curl 12.4
write 12.3
color 12.3
writing 12.3
surface 12
board 11.8
clean 11.7
business 11.6
copy 11.5
curve 11.4
sign 11.3
shape 11.2
line 11.2
envelope 11.2
aged 10.9
symbol 10.8
material 10.8
text 10.5
clear 10.5
old 10.5
rough 10.1
style 9.7
black 9.6
object 9.6
swirl 9.2
drop 9.1
backgrounds 8.9
new 8.9
metal 8.9
light 8.7
artistic 8.7
edge 8.7
post 8.6
canvas 8.6
modern 8.4
polka dot 8.3
retro 8.2
decor 8
pad 8
shiny 7.9
stationary 7.8
container 7.8
stain 7.7
parchment 7.7
grungy 7.6
decorative 7.5
splash 7.5
clip 7.5
closeup 7.4
metallic 7.4
water 7.4
letter 7.4
stationery 7.3
smooth 7.3
digital 7.3
steel 7.1

Google
created on 2021-12-15

Rectangle 84.3
Font 71
Circle 66.7
Paper product 64.1
Brand 63.1
Paper 62.5
Event 61.1
Square 53.1
Pattern 53
Magenta 50

Microsoft
created on 2021-12-15

text 94.9
minimalist 56.6
screenshot 55.3

Color Analysis

Captions

Microsoft

text 63.8%

Text analysis

Amazon

SECHS
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Google

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SECHS
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