AI Data for Untitled (rephotographed poster of 1961 high school senior class) | AI Explorer

Machine Generated Data

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%

Feature analysis

Amazon

Poster

Person

Poster	94.5%

Captions

Microsoft
created on 2019-03-26

a group of people posing for a photo	76.3%

a group of people posing for the camera	76.2%

a group of people posing for a picture	76.1%

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

Tolly

Rres

dohnsom

Hen

DOm

cflordsdtorm

ewrrlliamo

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

Bales

Sec,

Treas

esideut

Vice

Pres

Don

3oles

henold

cheal

Susan

Jle

Shepper

arretson

Class

196

Duight

Berglin

David

Henjum

Dianne

Eilreim

ane

3usch

dones

Tana

Serensen

Orville

Embrock

Poly

Helson

wdy

thompson

Douas

ecer

Lerdal

DaHanson

rick

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

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

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

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

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

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%

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%

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%

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%

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%

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%

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%

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%

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%

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%

Person	93.8%

Person	93.1%

Person	91.6%

Person	91.5%

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%

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%

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%

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%

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%

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%

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%

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%

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%

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%

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

Amazoncreated on 2019-03-26

Clarifaicreated on 2019-03-26

Imaggacreated on 2019-03-26

Microsoftcreated on 2019-03-26

Color Analysis

Face analysis

Amazon

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-03-26

Text analysis

Amazon

Google

Amazon
created on 2019-03-26

Clarifai
created on 2019-03-26

Imagga
created on 2019-03-26

Microsoft
created on 2019-03-26

Microsoft
created on 2019-03-26

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%

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%

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%

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%