Human Generated Data

Title

Untitled (rephotographed poster of nursing school class of 1960 students)

Date

1960

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, 4.2002.11130

Human Generated Data

Title

Untitled (rephotographed poster of nursing school class of 1960 students)

People

Artist: Claseman Studio, American 20th century

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11130

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Human 94
Person 90.7
Face 89.1
Person 87.5
Person 86.8
Person 85.5
Person 84.2
Person 83.9
Interior Design 82.4
Indoors 82.4
Person 82.1
Person 81.9
Person 76.8
Person 76.8
Person 76.8
Person 76.6
Person 76.5
People 74.9
Person 73.1
Person 73.1
Person 72.6
Person 71
Person 69.5
Person 69.4
Person 69.4
Person 69.2
Person 68.7
Person 67.7
Person 67
Collage 65.3
Advertisement 65.3
Person 64
Person 62.4
Portrait 62.1
Photography 62.1
Photo 62.1
Person 62.1
Word 61
Person 60
Head 59.6
Poster 59.4
Person 55.6
Person 54.8
Person 54
Person 51.4
Person 50.3
Person 50.1
Person 42.7

Clarifai
created on 2019-03-26

set 93.9
collection 93.6
symbol 93.4
people 93.1
vectors 90.4
signalise 88.5
business 88.1
alphabet 88.1
vector 87.7
image 87.3
type 83.2
typography 83
sign 83
no person 82.7
retro 82.6
text 82
education 81.9
post 81.7
portrait 81.5
lock 79.5

Imagga
created on 2019-03-26

keyboard 41.5
device 41.3
typewriter keyboard 40.7
button 37.9
set 34.5
icon 34
web 26.3
sign 25.6
business 24.9
black 23.4
computer 23.2
icons 22.3
symbol 22.2
menu 21.5
lock 21.4
arrow 20.8
buttons 19.8
mail 19.1
website 18.9
design 18.6
phone 18.4
circle 17.2
equipment 17.1
control panel 17
site 16.9
communication 16.8
home 16
technology 15.6
office 15.5
calculator 15
glass 14.8
download 14.7
media 14.3
letter 13.8
music 13.5
audio 13.4
modern 13.3
telephone 13
shopping 12.8
email 12.6
element 12.4
money 11.9
graphic 11.7
navigation 11.5
machine 11.3
cockpit 11.3
metal 11.3
glossy 11.2
shiny 11.1
bottle 11
house 10.9
collection 10.8
folder 10.7
keypad 10.7
information 10.6
document 10.2
cart 9.7
digital 9.7
new 9.7
interface 9.7
search 9.6
container 9.6
numbers 9.6
object 9.5
round 9.5
line 9.4
industry 9.4
finance 9.3
metallic 9.2
clock 9.2
data 9.1
star 9
color 8.9
pattern 8.9
key 8.9
group 8.9
printer 8.9
stop 8.7
file 8.7
close 8.6
moon 8.6
print 8.5
sound 8.4
power 8.4
number 8.4
drink 8.4
page 8.3
network 8.3
security 8.3
puck 8.2
financial 8
vending machine 7.9
info 7.8
dial 7.8
play 7.8
secure 7.7
contact 7.7
texture 7.6
bar 7.6
push 7.6
elements 7.4
service 7.4
plastic 7.3
silver 7.1

Google
created on 2019-03-26

Font 68.6
Team 67.7
Black-and-white 56.4
Collection 52.1

Microsoft
created on 2019-03-26

bunch 87.8
group 77.1
different 66
posing 35.7
store 35.5
beer 23.7
several 23.7
black and white 16.5
monochrome 8.4
fall 8
food 7.8
art 7.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 51.5%
Surprised 45.7%
Angry 45.6%
Disgusted 49.2%
Sad 47%
Happy 45.4%
Calm 46.6%
Confused 45.5%

AWS Rekognition

Age 23-38
Gender Female, 53.1%
Sad 47.1%
Angry 46.1%
Surprised 45.3%
Confused 45.2%
Calm 45.1%
Disgusted 45.1%
Happy 51.1%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Calm 45.2%
Confused 46.2%
Happy 45.1%
Sad 52.8%
Angry 45.3%
Surprised 45.1%
Disgusted 45.2%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Sad 47.1%
Angry 47.6%
Disgusted 46.1%
Calm 47.8%
Surprised 45.5%
Confused 45.7%
Happy 45.3%

AWS Rekognition

Age 30-47
Gender Male, 54.4%
Surprised 45.3%
Happy 50%
Confused 45.2%
Sad 45.6%
Angry 46.5%
Disgusted 45.2%
Calm 47.2%

AWS Rekognition

Age 23-38
Gender Male, 53.7%
Confused 45.7%
Happy 45.2%
Surprised 45.2%
Sad 49.8%
Calm 47.9%
Angry 45.9%
Disgusted 45.2%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Surprised 45.1%
Sad 53.1%
Calm 46.2%
Confused 45.2%
Disgusted 45.1%
Happy 45%
Angry 45.3%

AWS Rekognition

Age 38-57
Gender Male, 54.1%
Calm 46.9%
Happy 45.5%
Angry 45.6%
Disgusted 45.1%
Confused 45.5%
Sad 51%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Male, 54.3%
Sad 48.1%
Calm 49.7%
Confused 45.7%
Surprised 45.4%
Angry 46.1%
Disgusted 45.1%
Happy 45%

AWS Rekognition

Age 38-59
Gender Male, 54.3%
Angry 45.4%
Happy 46.9%
Disgusted 45.8%
Surprised 45.4%
Calm 46.7%
Sad 49.3%
Confused 45.6%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Angry 45.2%
Calm 45.1%
Sad 47.3%
Disgusted 45.1%
Surprised 45.2%
Confused 45.1%
Happy 51.9%

AWS Rekognition

Age 20-38
Gender Female, 52%
Disgusted 45.3%
Happy 52.3%
Angry 45.5%
Sad 45.8%
Calm 45.5%
Confused 45.2%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 51%
Sad 48.5%
Calm 48.7%
Confused 45.8%
Surprised 45.7%
Angry 45.6%
Disgusted 45.6%
Happy 45.1%

AWS Rekognition

Age 12-22
Gender Female, 54.9%
Angry 45.7%
Happy 45.9%
Disgusted 45.4%
Surprised 45.4%
Calm 46%
Sad 50.3%
Confused 46.2%

AWS Rekognition

Age 35-52
Gender Male, 53.8%
Confused 45.1%
Surprised 45.3%
Angry 45.3%
Happy 50.4%
Sad 45.3%
Calm 48.4%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Sad 47.7%
Disgusted 45.1%
Happy 50%
Angry 45.4%
Confused 45.5%
Calm 45.9%
Surprised 45.3%

AWS Rekognition

Age 35-53
Gender Male, 52.4%
Happy 48.3%
Surprised 46.2%
Angry 45.7%
Disgusted 45.7%
Confused 45.4%
Sad 45.6%
Calm 48.2%

AWS Rekognition

Age 57-77
Gender Male, 52.9%
Surprised 45.5%
Sad 47.4%
Happy 47.5%
Disgusted 45.2%
Angry 45.6%
Calm 48.3%
Confused 45.5%

Feature analysis

Amazon

Person 90.7%
Poster 59.4%

Categories

Imagga

text visuals 99.8%

Text analysis

Amazon

VALLEY
NURSING
HOSPITAL
SCHOOL
SCHOOL of NURSING
SIOUX VALLEY HOSPITAL
of
SIOUX
JUNE
CASWELL
SCHULTE
JUNE Ig6o
JANET
SIVERTSON
PETERSON
THOMSON
SENNER
VERLYCE
YRA
JANET CASWELL NORMA PETERSON AUDREY SCHULTE CORAL SENNER LACNNE VERLYCE HARMS
UNRUH
WEED
HARMS
LEONA
TREASURER
CORAL
UNDERHILL
NORMA
Ig6o
SANDRA
BONNE SIVERTSON HUSABCE
PRESIDENT
SHIRLEY
CONNIE
FRETBURN
YRA UNDERHILL CONNIE WADNG
STULKEN
LACNNE
AUDREY
SHARON
MARILYN
HUSABCE
UNRUH ELOISE
HOLRECK
CARO BAKER MARILYN STULKEN TREASURER
BONNE
CARO
SANDRA WEED FRETBURN ADMISOS
MARY
SHIRLEY HOLRECK SHARON MARY ANNE OHNSON
ALRNKETH THOMSON
ELOISE
WADNG
BAKER
YVONNE
OHNSON
ANNE
VICE PRESIDENT
ALRNKETH
ADMISOS
VICE

Google

.WET CASWELL NORMA PETERSON ADREY SCHULTE CORAL SEMER LAKNE GROGAN VERLYCE HARMS SMRLEY KEECK SARON MAHİSON SIOUX VALLEY HOSPITAL SCHOOL of NURSING JUNE I960 MYRA UNDERHILL CONNIE WARING BONNE SIVERTSON SHLEY HUSABOE VONNE ANDERSEN LEONA MULLER TREASURER PRESIDENT CAROL BAKER VICE PRESIDENT MARILYN STULKEN SECRETARY SANDRA WEED SHIRLEE WILLIAWS MARY FREBURN-ADVISOR RIS UNRUH ELOISE SAUGSTAD MARLYS PULSON DELORES THOMPSON VERLA RADKE SHIRLEY COOK PATRICIA JOHNSON LOIS HEIDEMAN CAROL BORMANN
.WET
CASWELL
NORMA
PETERSON
ADREY
SCHULTE
CORAL
SEMER
LAKNE
GROGAN
VERLYCE
HARMS
SMRLEY
KEECK
SARON
MAHİSON
SIOUX
VALLEY
HOSPITAL
SCHOOL
of
NURSING
JUNE
I960
MYRA
UNDERHILL
CONNIE
WARING
BONNE
SIVERTSON
SHLEY
HUSABOE
VONNE
ANDERSEN
LEONA
MULLER
TREASURER
PRESIDENT
CAROL
BAKER
VICE
MARILYN
STULKEN
SECRETARY
SANDRA
WEED
SHIRLEE
WILLIAWS
MARY
FREBURN-ADVISOR
RIS
UNRUH
ELOISE
SAUGSTAD
MARLYS
PULSON
DELORES
THOMPSON
VERLA
RADKE
SHIRLEY
COOK
PATRICIA
JOHNSON
LOIS
HEIDEMAN
BORMANN