Human Generated Data

Title

Horror On The National Mall!

Date

2007

People

Artist: Guerrilla Girls, American Active 1985-present

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Margaret Fisher Fund, 2014.258

Copyright

© Guerrilla Girls

Human Generated Data

Title

Horror On The National Mall!

People

Artist: Guerrilla Girls, American Active 1985-present

Date

2007

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Advertisement 98.1
Flyer 95.9
Paper 95.9
Brochure 95.9
Human 88.8
Person 88.8
Poster 79.8
Person 78.4
Magazine 76.4
Person 70.5
Person 68.4

Clarifai
created on 2018-02-10

bill 96.1
collage 90.2
banner 90.1
text 89.5
illustration 89.3
World Wide Web 88.6
business 87.5
landscape 85.5
vector 85.4
desktop 84.9
layout 84.8
template 84
people 80.7
city 80.1
identity 80
card 79.3
company 79.3
name 77.7
cloud 77.7
vectors 76.2

Imagga
created on 2018-02-10

slick 39.5
money 25.5
daily 25.3
currency 25.1
stamp 24.2
mail 23
paper 22
business 21.9
postmark 21.7
vintage 21.5
retro 20.5
product 20.3
finance 20.3
letter 20.2
dollar 18.6
cash 18.3
global 17.3
philately 16.8
old 16.7
postage 16.7
banking 16.5
financial 16
envelope 15.1
creation 15
circa 14.8
postal 14.7
wealth 14.4
bank 14.3
bill 14.3
conceptual 14.1
savings 14
magazine 14
newspaper 13.9
graphic 13.9
note 13.8
printed 13.8
sign 13.5
design 13.5
packaging 13
cloud 12.9
shows 12.8
definition 12.7
style 12.6
tag 12.5
word 12.3
investment 11.9
aged 11.8
hundred 11.6
exchange 11.5
post 11.4
close 11.4
collection 10.8
ancient 10.4
economy 10.2
representation 10.2
symbol 10.1
message 10
stamps 9.9
tags 9.8
world 9.8
bills 9.7
banknote 9.7
dollars 9.7
us 9.6
international 9.6
blank 9.4
card 9.4
equipment 9
banknotes 8.8
change 8.7
used 8.6
save 8.5
communication 8.4
one 8.2
history 8.1
navigation 7.7
stylized 7.7
notes 7.7
grunge 7.7
template 7.3
copy 7.1

Google
created on 2018-02-10

Microsoft
created on 2018-02-10

text 91.5
newspaper 87.5
screenshot 15.1

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 55%
Confused 45.8%
Angry 45.5%
Sad 45.9%
Calm 50.4%
Disgusted 45.4%
Surprised 45.7%
Happy 46.2%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Sad 49.3%
Angry 45.5%
Disgusted 45.1%
Happy 45.3%
Calm 48.8%
Confused 45.7%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.8%
Calm 53.9%
Angry 45.2%
Confused 45.1%
Disgusted 45.1%
Surprised 45.1%
Happy 45.1%
Sad 45.5%

AWS Rekognition

Age 14-23
Gender Male, 54.9%
Disgusted 45.1%
Sad 45.2%
Happy 45.1%
Angry 45.1%
Surprised 45.1%
Confused 45%
Calm 54.4%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Confused 45.2%
Surprised 45.1%
Disgusted 45%
Calm 51.1%
Sad 48.3%
Happy 45%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Male, 53.3%
Confused 45%
Happy 45%
Sad 45.1%
Surprised 45.1%
Disgusted 45%
Angry 45.1%
Calm 54.7%

AWS Rekognition

Age 29-45
Gender Male, 54.1%
Angry 47.3%
Happy 45.1%
Calm 47.8%
Disgusted 45.4%
Surprised 45.2%
Sad 48.8%
Confused 45.3%

AWS Rekognition

Age 57-77
Gender Female, 53.8%
Surprised 45.2%
Sad 45.3%
Disgusted 45.1%
Calm 54%
Happy 45.1%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Female, 55%
Happy 46.3%
Sad 52.2%
Calm 45.6%
Confused 45.2%
Disgusted 45.3%
Surprised 45.3%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Female, 51.8%
Disgusted 48.9%
Angry 46.1%
Happy 45.2%
Calm 48%
Sad 46.1%
Confused 45.2%
Surprised 45.5%

AWS Rekognition

Age 23-38
Gender Female, 54.3%
Surprised 45.1%
Happy 45%
Sad 45.9%
Disgusted 45%
Confused 45.1%
Calm 53.8%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Female, 55%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Happy 45.2%
Calm 54%
Disgusted 45.5%
Sad 45.1%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Happy 45%
Sad 54.9%
Surprised 45%
Confused 45%
Calm 45%
Angry 45%
Disgusted 45%

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Happy 45.1%
Disgusted 45.4%
Angry 45.2%
Calm 53.2%
Surprised 45.2%
Sad 45.6%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Angry 45.1%
Happy 45.2%
Calm 54.4%
Surprised 45.2%
Sad 45.1%
Disgusted 45%
Confused 45.1%

Feature analysis

Amazon

Person 88.8%
Poster 79.8%

Captions

Microsoft

a close up of a newspaper 77.6%
a sign on a newspaper 65.6%
a close up of a newspaper article 65.6%

Text analysis

Amazon

HORROR
NATIONAL
basements
ON
Thousands
THE
NATIONAL MALL!
museums!
women
of
MALL!
basements of women D.C. museums!
locked
Thousands of locked in
NOT
macho
D.C.
artists
does
Guerrilla
female
world
keep
CRAZY?
in
Why does macho art world keep female out sight?
Why
out
artists of
NOT BOY CRAZY?
Smithsonian:
HORROR ON THE JUST CRAZY2
art
The
sight?
high
The Guerrilla Girls Scandal
high salaries
secret
The National Gallery:
salaries
National
Scandal
accounts
Gallery:
Girls
secret expense
take
BOY
exhibit
expense
take execs'
and
Gallery
execs'
WE
JUST
CRAZY2
OK.

Google

OK
ON
Gallery
in
10
..08
CRAZY?
ano
Only
Anerca
now
of
does
art
female
out
secret
buy
and
eshibit
by
HORROR
MALL
BOT
um
leep
high
salaries
S5S
OK HORROR ON THE NATIONAL MALL The National Gallery BOT CRAZY? womeg in the last 10 year 3 by guys ..08 UST CRAZY? ano um Only ane work by an Alfrican Anerca artist oo display Nstional Gallery right now Thousands of women locked in basements of D.C. museums! Why does macho art world leep female artists out of sight? How to fi Smithvonian take away enees' high salaries and secret expense mcowats and uve S5S te buy and eshibit more art by women and artists of color! MORE DIRT ON MUSEUMS:
NATIONAL
womeg
the
year
ane
artist
oo
right
basements
D.C.
Why
Smithvonian
expense
more
women
artists
color!
MORE
MUSEUMS:
The
last
3
guys
an
display
Nstional
locked
sight?
How
fi
mcowats
te
DIRT
THE
National
UST
work
Alfrican
Thousands
museums!
macho
world
to
take
away
enees'
uve