Human Generated Data

Title

Untitled (rephotographed poster of nursing school class of 1959)
Date

1959
People

Artist: Claseman Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11122

Human Generated Data

Title

Untitled (rephotographed poster of nursing school class of 1959)

People

Artist: Claseman Studio, American 20th century

Date

1959

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11122

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Head 91.9
Human 88.5
Person 88.5
Person 88.5
Person 87
Person 85.4
Person 85.1
Word 84.9
Person 83.7
Person 82
Person 80.8
Person 79.5
Person 79.2
Person 77.9
Person 77.7
Person 75.8
Person 75.1
Person 73.9
Indoors 72.9
Person 72.6
Room 71
X-Ray 64.2
Medical Imaging X-Ray Film 64.2
Ct Scan 64.2
Advertisement 63.8
Collage 63.8
Poster 63.8
Person 63
Screen 60.9
Electronics 60.9
Monitor 60.9
Display 60.9
Person 59.9
Clothing 59.5
Coat 59.5
Apparel 59.5
Jaw 57.3

Clarifai
created on 2019-03-26

vectors 98.8
set 98.7
symbol 97.6
vector 96.7
collection 96.4
image 92.9
pill 91.2
diagnosis 90.9
people 90.1
post 90.1
medicine 89.6
microphone 89.1
monitor 88.5
alphabet 88.2
signalise 87.7
no person 87.4
set up 87
lock 86.7
radiology 86.3
healthcare 86.2

Imagga
created on 2019-03-26

equipment 56.1
electronic equipment 33.9
button 32.6
electronic 26.1
control 26
device 25.1
technology 24.5
number 23.3
set 23
sequencer 22.8
numbers 22.1
black 21.6
touch screen 21.4
business 20.7
digital 20.3
apparatus 19.5
buttons 18.9
television 18.8
communication 18.5
modern 17.5
symbol 17.5
remote 17.4
computer 17.1
icon 16.6
close 16.6
keypad 16.5
sign 15.8
keyboard 15.4
object 15.4
equalizer 14.9
control panel 14.3
key 14.3
electronics 14.3
phone 13.8
data 13.7
office 13.7
design 13.5
closeup 13.5
play 12.9
oscilloscope 12.9
channel 12.8
finance 12.7
power 12.6
stereo 12.5
telephone 12.1
web 11.9
radio 11.8
calculator 11.8
music 11.7
laptop 11.3
entertainment 11.1
receiver 11
remote control 10.6
screen 10.5
push 10.5
radio receiver 10.1
menu 10.1
dial 10
math 9.8
financial 9.8
information 9.7
volume 9.7
display 9.7
video 9.7
wireless 9.5
graphic 9.5
money 9.4
icons 9.3
clock 9.3
plastic 9.2
pause 8.9
detail 8.9
forward 8.8
portable computer 8.8
accounting 8.8
text 8.7
stop 8.7
audio 8.6
mobile 8.5
sound 8.4
letter 8.3
connection 8.2
recorder 8.2
collection 8.1
call 8
home 8
silver 8
instrument 7.9
infrared 7.9
plus 7.9
account 7.7
media 7.6
appliance 7.5
light 7.4
time 7.3
machine 7

Microsoft
created on 2019-03-26

posing 92.1
window 90.7
different 62.5
bunch 55
several 16.7
museum 16.7
black and white 10.3
music 7.8
band 6.1
show 5.7
art 5.6
monochrome 5.2
competition 4.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 29-45
Gender Female, 50.8%
Angry 46.1%
Calm 45.3%
Confused 45.2%
Disgusted 45.4%
Surprised 45.6%
Sad 45.2%
Happy 52.2%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Happy 54.1%
Surprised 45.1%
Sad 45.1%
Disgusted 45%
Angry 45.1%
Confused 45.1%
Calm 45.5%

AWS Rekognition

Age 26-43
Gender Female, 54.2%
Calm 46.6%
Confused 45%
Sad 45.1%
Angry 45.1%
Happy 53.1%
Surprised 45%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Disgusted 45.2%
Angry 45.3%
Surprised 45.3%
Calm 49.8%
Happy 48.5%
Sad 45.6%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 52.6%
Sad 45%
Calm 45%
Confused 45%
Happy 54.9%
Disgusted 45%
Surprised 45%
Angry 45%

AWS Rekognition

Age 26-43
Gender Female, 51.5%
Disgusted 45.1%
Calm 50.2%
Confused 45.2%
Sad 45.9%
Happy 46.2%
Surprised 45.5%
Angry 46.9%

AWS Rekognition

Age 23-38
Gender Female, 51.8%
Confused 45%
Calm 45%
Sad 45%
Angry 45%
Disgusted 45%
Happy 54.9%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Angry 45.2%
Happy 53.6%
Sad 45.2%
Calm 45.6%
Confused 45.2%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.8%
Disgusted 45%
Happy 54%
Angry 45.1%
Sad 45.2%
Calm 45.4%
Confused 45.1%
Surprised 45.1%

Feature analysis

Amazon

Person 88.5%
Monitor 60.9%

Categories

Imagga

text visuals 100%

Text analysis

Amazon

VALLEY
SEPTEMBER
ERMA
SEPTEMBER '59
WALTERS
NANCY
SECRETARY
SIOUX VALLEY HOSPITAL
MAE
SIOUX
'59
LEHMAN
of
LENORR
NURSING
CAROL
ELLEFSON
STEELY
HOSPITAL
MAGASTAD
MOLLY
STROEH
Lou
NANCY do WALTERS BACKLYN STEELY MAE VAV DFAWEERO KATHE JASSEN DORTHEA PETARSON ERMA BUSE MAN
TREASURER
VERALYN
do
KATHE
LENORR LEHMAN VERALYN VEA STEEG MAGASTAD SHARON AAMSTRO
BARBARA TREASURER HGDBERG STROEH
SHARON
AOISOR MOLLY AUDERSCN
6CANZER
DORTHEA
AUDERSCN
SCHUETT
BARBARA
HGDBERG
BUSE MAN
BACKLYN
SCHOoL of NURSING
AAMSTRO
AOISOR
PETARSON
ORINNE 6CANZER
ORINNE
Lou ELLEFSON CAREN ROGEN
JASSEN
CAREN
VEA STEEG
VAV DFAWEERO
SCHOoL
ROGEN

Google

MouLy DERSON ANGEN SETEs VICE PRESIDENT PRESIDENT KAREN ROGEN BETTy LoU ELLEFSON LA VONNE STROEH SECRETARy BARBARA HEDBERG TREASURER Sioux VALLEY HOspITAL SCHOOL NURSING SEPTEMBER 59 JANET SCHRODER NANCY do WALTERS KATHE JESSEN ERMA BUsE MAN
MouLy
DERSON
ANGEN
SETEs
VICE
PRESIDENT
KAREN
ROGEN
BETTy
LoU
ELLEFSON
LA
VONNE
STROEH
SECRETARy
BARBARA
HEDBERG
TREASURER
Sioux
VALLEY
HOspITAL
SCHOOL
NURSING
SEPTEMBER
59
JANET
SCHRODER
NANCY
do
WALTERS
KATHE
JESSEN
ERMA
BUsE
MAN