Human Generated Data

Title

Untitled (rephotographed poster of 1961 high school senior class)
Date

1961
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, 4.2002.11139

Human Generated Data

Title

Untitled (rephotographed poster of 1961 high school senior class)

People

Artist: Claseman Studio, American 20th century

Date

1961

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11139

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Collage 98.7
Advertisement 98.7
Poster 94.5
Person 93.8
Human 93.8
Person 93.1
Person 91.6
Person 91.5
Person 91
Person 89
Person 87.7
Person 87.2
Person 86.8
Person 86.8
Person 86.4
Person 86.4
Person 86
Person 85.6
Word 85.4
Person 85.3
Text 84.6
Person 83.7
Person 83.6
Person 82.7
Person 82
Person 81.3
Person 79.8
Person 79.1
Person 78.9
Person 78.7
Person 76.4
Person 74.2
Female 71.5
Person 70.9
Person 70.5
Person 69.2
Teen 69.2
Blonde 69.2
Girl 69.2
Child 69.2
Woman 69.2
Kid 69.2
Person 67.5
Head 66.1
Indoors 65
Room 65
Face 59.8
Classroom 59
School 59

Clarifai
created on 2019-03-26

vectors 94.7
symbol 94.6
display 92.9
alphabet 92.7
set 92.5
baptismal font 91.6
text 91.3
image 88.8
signalise 88.5
education 88.2
business 88
vector 87.9
typography 87.7
school 86.8
collection 84.5
type 83.5
number 81.9
desktop 80.9
rudiment 80.9
no person 80.3

Imagga
created on 2019-03-26

control panel 47
device 37.9
button 35.2
set 33.6
icon 33.3
buttons 30.2
sign 30.1
symbol 29
black 27.7
icons 27
web 25.4
design 24.8
business 21.9
telephone 21.8
keyboard 21.3
computer 20.2
typewriter keyboard 19.4
equipment 19
communication 18.5
remote control 18.2
collection 18
phone 17.5
dial 17
arrow 17
circle 16.7
mail 16.3
graphic 15.3
home 15.2
modern 14.7
keypad 14.6
lock 14.6
numbers 14.4
office 13.7
element 13.2
website 13.2
finance 12.7
information 12.4
digital 12.2
number 12.1
letter 11.9
money 11.9
technology 11.9
data 11.9
clock 11.9
key 11.6
round 11.2
control 11.2
page 11.1
house 10.9
dial telephone 10.8
stop 10.6
audio 10.5
glossy 10.3
electronic 10.3
elements 10.2
calculator 9.9
object 9.5
play 9.5
network 9.3
plastic 9.2
art 9.2
close 9.1
music 9
star 9
call 9
shape 9
electronic equipment 8.8
television 8.8
email 8.7
text 8.7
interface 8.7
letters 8.7
media 8.6
push 8.6
sound 8.4
power 8.4
document 8.4
connection 8.2
radio 8.2
menu 8.1
group 8.1
metal 8.1
silver 8
paper 7.9
decoration 7.8
film 7.8
remote 7.7
hand 7.6
cockpit 7.6
pattern 7.5
instrument 7.4
new 7.3
color 7.2
bright 7.2
financial 7.1
shiny 7.1

Microsoft
created on 2019-03-26

posing 85.6
bunch 74.7
group 63.2
different 36.4
several 22
black and white 22
monochrome 14.8
museum 9.7
art 9.1
beer 7.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Happy 45.4%
Confused 45.2%
Calm 52.3%
Disgusted 45.1%
Angry 45.3%
Surprised 45.2%
Sad 46.3%

AWS Rekognition

Age 19-36
Gender Female, 51.3%
Surprised 45.1%
Angry 45.2%
Disgusted 45.1%
Sad 45.5%
Happy 52.1%
Calm 46.9%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54%
Confused 45.1%
Calm 45.7%
Sad 45.5%
Angry 45.2%
Disgusted 45.2%
Surprised 45.3%
Happy 53.1%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Angry 45.4%
Happy 45.5%
Disgusted 45.2%
Sad 49.7%
Calm 48.8%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Sad 45.6%
Angry 45.3%
Disgusted 45%
Calm 53.5%
Surprised 45.2%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Angry 45.4%
Calm 49.9%
Confused 45.2%
Happy 47.5%
Disgusted 45.2%
Surprised 45.3%
Sad 46.4%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Surprised 45.7%
Sad 47%
Calm 48.8%
Confused 45.5%
Disgusted 45.6%
Happy 46.7%
Angry 45.7%

AWS Rekognition

Age 15-25
Gender Female, 50.8%
Disgusted 45.1%
Calm 45.7%
Sad 51.6%
Happy 47.1%
Confused 45.1%
Surprised 45.1%
Angry 45.3%

AWS Rekognition

Age 14-23
Gender Male, 50.5%
Sad 46.7%
Confused 45.1%
Disgusted 45.1%
Angry 45.3%
Surprised 45.2%
Happy 51.2%
Calm 46.4%

AWS Rekognition

Age 57-77
Gender Male, 52.1%
Angry 45.3%
Happy 45.3%
Sad 49.4%
Calm 49.1%
Confused 45.2%
Disgusted 45.1%
Surprised 45.6%

AWS Rekognition

Age 35-52
Gender Female, 54.4%
Disgusted 45%
Sad 45.3%
Surprised 45.1%
Calm 54%
Confused 45.2%
Angry 45.1%
Happy 45.3%

AWS Rekognition

Age 17-27
Gender Female, 51.7%
Sad 54.7%
Calm 45.1%
Confused 45.1%
Surprised 45%
Angry 45.1%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 35-52
Gender Male, 52.3%
Angry 45.3%
Disgusted 45.2%
Surprised 45.2%
Calm 49.7%
Sad 49.3%
Happy 45.2%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.3%
Confused 45.1%
Disgusted 45.2%
Happy 50.9%
Calm 47.9%
Angry 45.3%
Surprised 45.2%
Sad 45.6%

AWS Rekognition

Age 48-68
Gender Male, 52.6%
Angry 45.1%
Happy 53.6%
Disgusted 45.1%
Surprised 45.2%
Calm 45.4%
Sad 45.5%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Disgusted 45.3%
Happy 45.1%
Angry 45.3%
Sad 46.1%
Calm 52.9%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Angry 45.4%
Confused 45.4%
Calm 50.8%
Sad 47.6%
Disgusted 45.2%
Surprised 45.4%
Happy 45.3%

AWS Rekognition

Age 45-63
Gender Male, 53.1%
Sad 45.1%
Disgusted 45%
Happy 45%
Angry 45.1%
Confused 45.1%
Calm 54.7%
Surprised 45.1%

AWS Rekognition

Age 38-59
Gender Male, 53.7%
Disgusted 45.1%
Surprised 45.2%
Angry 45.2%
Confused 45.2%
Sad 45.4%
Calm 52.8%
Happy 46.2%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Surprised 45.3%
Calm 45.9%
Sad 45.4%
Angry 45.4%
Happy 52.7%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.4%
Calm 52.6%
Angry 45.6%
Happy 45.1%
Sad 46%
Surprised 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 53.6%
Happy 45.4%
Surprised 45.3%
Angry 45.6%
Disgusted 46.2%
Confused 45.6%
Sad 50.4%
Calm 46.6%

AWS Rekognition

Age 16-27
Gender Male, 54.5%
Calm 51.7%
Confused 45.2%
Surprised 45.3%
Sad 45.5%
Angry 45.3%
Disgusted 45.2%
Happy 46.8%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Calm 52.2%
Surprised 45.3%
Happy 45.4%
Confused 45.2%
Disgusted 45.5%
Sad 46.1%
Angry 45.3%

AWS Rekognition

Age 20-38
Gender Male, 52.4%
Disgusted 45.3%
Angry 45.2%
Calm 51.7%
Surprised 45.2%
Sad 47%
Happy 45.4%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Sad 45.7%
Calm 52.2%
Confused 45.3%
Happy 45.5%
Disgusted 45.2%
Surprised 45.4%
Angry 45.6%

AWS Rekognition

Age 45-63
Gender Male, 51.4%
Sad 45.5%
Happy 52.2%
Calm 46.2%
Angry 45.3%
Surprised 45.4%
Disgusted 45.2%
Confused 45.1%

Feature analysis

Amazon

Poster 94.5%
Person 93.8%

Categories

Imagga

text visuals 99.4%

Text analysis

Amazon

Class
Olund
Garretson
1961
Shirtey
Dianne
Gloria
Duiichr Berglin Class 1961 Darid CHenjum
Darid
Duiichr
Dean
Embrock
Berglin
Ronald
Robert
Ensebrelson
Tom
tharianna
David
lartan
Orrille
Goneva
Sorenson
Dianne Cilreim Jane
Anderson
Jane
Shepper
Goneva lartan Tom eandersnick
Menmedy
Tanya
Ronald Susan Shepper
Dean ewrrlliamo tharianna dohnsom Robert Olund David eMenmedy David Menmedy Gloria Sohnsom
Tanya Sorenson Orrille Embrock Tolly 4elson duduthompson
Earl
Kanan
duduthompson
Sohnsom
4elson
nelaon
Shirtey nelaon Earl Balee Ensebrelson Hen al cflordsdtorm
David eMenmedy
Cilreim
See
Hreeidet
Balee
Susan
CHenjum
Kanan Anderson See Hreeidet Rres DOm
eandersnick
al
Tolly
Rres
dohnsom
Hen
DOm
cflordsdtorm
ewrrlliamo
sf

Google

Shirley Melson Earl De Bales Sec, é Treas esideut Vice Pres Don De 3oles henold cheal Susan Jle Shepper arretson Class 196 Duight Berglin David Henjum Dianne Eilreim ane 3usch Le Ry dones Tana Serensen Orville Embrock Poly Helson wdy thompson Douas ecer on D Lerdal DaHanson rick le
Shirley
Melson
Earl
De
Bales
Sec,
é
Treas
esideut
Vice
Pres
Don
3oles
henold
cheal
Susan
Jle
Shepper
arretson
Class
196
Duight
Berglin
David
Henjum
Dianne
Eilreim
ane
3usch
Le
Ry
dones
Tana
Serensen
Orville
Embrock
Poly
Helson
wdy
thompson
Douas
ecer
on
D
Lerdal
DaHanson
rick
le