AI Data for Untitled (group posed in Halloween costumes, Grange meeting) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	54-64
Gender	Male, 100%
Sad	32.6%
Confused	24%
Calm	17.1%
Fear	8.8%
Disgusted	7.4%
Angry	4.6%
Surprised	4%
Happy	1.5%

Feature analysis

Amazon

Person

Poster

Person	99.3%

Captions

Microsoft
created on 2022-03-04

a group of people posing for a photo	97.1%

a group of people posing for a picture	97%

a group of people posing for the camera	96.9%

Text analysis

Amazon

DIRECTOR

FUNERAL DIRECTOR

FUNERAL

SHEPARD

MUTUAL

GRANGE

GAS

FIRE

FOR

OMMUNITY

OIL

FOR HOMES

STORE

BARTLETT SHEPARD

CO.

KEROSE

HOMES

THE

FURNITURE STORE

BEYOND THE

Birch

479

BEYOND

RICHARD

FURNITURE

REFRIGERATORS

BARTLETT

ACO KEROSE

Everything

Dividend

MONTHLY

TEL

KNOW YOUR GRANGE

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LIFE

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AUTO

Minute

GASMAINS

INSURANCE CO.

Read

RICHARD H.ADAMS

TEL 479 Crystal Ave. DERRY

220

RKA

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20 Z Dividend

Cor. E Broadway G Birch

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Booked

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Google

PYROFAX FOR HOMES PILLSBURVRertrandheabodu GRANGE MUTUAL FIRE JOHNS- BILISDINER RICHARD HADANS BARTLETT SHEPAR BEYOND THE GAS MAINFURNITURE STORE REFRIGERATORS GAS RKA OIL CO ACO KEROSE EE OROIN Kone Coored Cor. E.Broadway &.Birch COFFEE FUNERAL DIRECTOR INSURANCE CO. 20% Dividend AccoeNT DOKS- EATS-FREEZES DMNUNITY GAS CO ROSS& SON KNGW YOUR GRANGE e-Minute Facts In Everyh ALGRANGE MONTHIY Year In Glubs TEL. 479 Crystal Ave. DERRY ilorn Rang Hea EN Cor Brok& Setl HOLMES&WHE COAL-OIL-TR CE AGENCY is. Agt RANCE BALL ATERIAL k St. FOR ECONOMY USE arro FEE CO Tel. 379 MOTOD

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THE

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MAINFURNITURE

STORE

REFRIGERATORS

RKA

OIL

ACO

KEROSE

OROIN

Kone

Coored

Cor.

E.Broadway

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INSURANCE

CO.

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Dividend

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MOTOD

Title Untitled (group posed in Halloween costumes, Grange meeting)	Date 1950
People Artist: Francis J. Sullivan, American 1916 - 1996	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18369

Person	99.3

Human	99.3

Person	99.1

Person	98.8

Person	98.6

Poster	98.4

Advertisement	98.4

Person	98.1

Person	98

Person	98

Person	95.8

Person	95.4

Person	95

Person	94.3

Clothing	94.1

Apparel	94.1

Person	93.6

Person	93.4

Person	93.3

Person	93

Person	91.6

Person	91.1

Person	87

People	85

Person	81

Person	80.1

Person	79

Suit	78.3

Overcoat	78.3

Coat	78.3

Crowd	74.9

Person	72.4

Dress	66.4

Female	63.7

Person	63

Text	62

Indoors	60.8

people	100

many	99.6

group	99

man	98.6

group together	98.2

adult	97.9

woman	97

child	96.5

crowd	95.8

boy	94.5

victory	91.3

education	89.9

spectator	87.7

family	82.9

several	81.6

uniform	80.5

audience	80.4

athlete	79.7

music	79.5

adolescent	77.4

people	27.9

brass	24.9

person	23.4

male	22.7

man	22.2

men	21.4

wind instrument	20.2

silhouette	17.4

gymnasium	15.3

businessman	15

adult	14.6

business	14.6

art	14.2

musical instrument	14.2

group	13.7

sport	13.7

player	12.9

athletic facility	12.2

party	12

facility	11.4

human	11.2

portrait	11

black	10.8

planner	10.7

design	10.7

success	10.4

couple	10.4

old	10.4

golfer	10.3

grunge	10.2

women	9.5

kin	9.4

contestant	8.9

lady	8.9

style	8.9

bugle	8.8

crowd	8.6

travel	8.4

friendship	8.4

active	8.2

happy	8.1

symbol	8.1

activity	8

history	8

drawing	8

standing	7.8

youth	7.7

reflection	7.6

dance	7.6

fashion	7.5

friends	7.5

fun	7.5

event	7.4

graphic	7.3

girls	7.3

smiling	7.2

dress	7.2

lifestyle	7.2

suit	7.2

celebration	7.2

team	7.2

smile	7.1

family	7.1

cornet	7.1

love	7.1

together	7

Photograph	94.1

Coat	89.5

Font	82.7

Suit	82.2

Snapshot	74.3

Art	74.2

Vintage clothing	74.1

Event	73

Crowd	72.8

Team	70.9

Monochrome	68.9

History	66.8

Crew	65.8

Room	65.6

Visual arts	64.4

Illustration	63.5

Class	62

Advertising	54.9

Uniform	51.9

Monochrome photography	51.6

Age	52-60
Gender	Female, 50.6%
Surprised	31.3%
Calm	23.8%
Fear	11.4%
Confused	9.6%
Sad	8.6%
Happy	7%
Disgusted	5.2%
Angry	3.1%

Age	43-51
Gender	Female, 58.2%
Sad	66.5%
Happy	11.9%
Disgusted	5.9%
Calm	5.3%
Fear	3.4%
Surprised	3%
Angry	2.3%
Confused	1.8%

Age	37-45
Gender	Male, 99.8%
Sad	43.6%
Happy	27.3%
Disgusted	12.6%
Confused	7%
Angry	3.6%
Surprised	2.5%
Calm	2.3%
Fear	1.2%

Age	27-37
Gender	Female, 51.2%
Sad	71.8%
Surprised	12.8%
Calm	7.3%
Angry	2.7%
Happy	1.9%
Confused	1.4%
Disgusted	1.3%
Fear	0.7%

Age	49-57
Gender	Male, 100%
Sad	58%
Angry	15.7%
Confused	15.6%
Calm	3.6%
Disgusted	2.7%
Happy	2.1%
Surprised	1.8%
Fear	0.6%

Age	47-53
Gender	Female, 79.5%
Happy	44.4%
Calm	20.4%
Surprised	19.6%
Angry	10.4%
Sad	2.3%
Disgusted	1.4%
Fear	1%
Confused	0.5%

Age	27-37
Gender	Female, 76.5%
Calm	80.3%
Confused	6.5%
Happy	6.4%
Sad	4.1%
Disgusted	1.5%
Angry	0.6%
Surprised	0.5%
Fear	0.2%

Age	23-33
Gender	Female, 81.4%
Calm	98.5%
Surprised	1%
Sad	0.2%
Angry	0.1%
Disgusted	0.1%
Happy	0%
Confused	0%
Fear	0%

Age	37-45
Gender	Male, 94.9%
Sad	52.5%
Calm	22.5%
Surprised	10.5%
Confused	6.5%
Angry	3.2%
Disgusted	2%
Happy	1.9%
Fear	0.9%

Age	31-41
Gender	Male, 95.9%
Calm	23.9%
Disgusted	19.8%
Angry	19.6%
Sad	17.3%
Confused	11.6%
Happy	3.7%
Surprised	2.5%
Fear	1.5%

text	99.6

person	99.5

clothing	98.4

posing	97.5

group	92.3

man	89.6

outdoor	88.4

standing	86.4

poster	86.2

cartoon	79.5

people	72.5

woman	71.4

player	62.8

old	42.7

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Very unlikely

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Very unlikely

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Very unlikely

Age	28-38
Gender	Male, 73.4%
Sad	65.5%
Disgusted	15%
Confused	7.3%
Fear	6.9%
Happy	1.9%
Calm	1.6%
Angry	1.2%
Surprised	0.7%

Age	23-31
Gender	Female, 97.7%
Calm	46.9%
Surprised	44%
Confused	5%
Angry	1.4%
Disgusted	1.2%
Sad	1.1%
Fear	0.3%
Happy	0.2%

Age	26-36
Gender	Male, 99.9%
Calm	91%
Surprised	3.7%
Happy	1.7%
Sad	1.1%
Confused	0.9%
Angry	0.8%
Disgusted	0.7%
Fear	0.2%

Age	4-12
Gender	Female, 99.8%
Calm	95.3%
Happy	1.7%
Sad	1.5%
Disgusted	0.5%
Angry	0.4%
Confused	0.3%
Surprised	0.2%
Fear	0.1%

Age	28-38
Gender	Male, 99.7%
Sad	86.7%
Calm	10.8%
Confused	0.8%
Happy	0.6%
Surprised	0.3%
Disgusted	0.3%
Angry	0.3%
Fear	0.2%

Age	37-45
Gender	Male, 96.3%
Sad	47.5%
Happy	26%
Fear	13%
Calm	4.7%
Angry	3.4%
Disgusted	2%
Confused	1.9%
Surprised	1.4%

Age	40-48
Gender	Male, 98.5%
Sad	79.7%
Happy	11.7%
Surprised	3.3%
Calm	1.8%
Confused	1.6%
Angry	1%
Disgusted	0.5%
Fear	0.4%

Age	48-56
Gender	Male, 99.8%
Calm	76.3%
Sad	8.2%
Happy	7.3%
Angry	2.6%
Surprised	2.2%
Confused	1.9%
Disgusted	1.2%
Fear	0.4%

Age	39-47
Gender	Male, 98.1%
Calm	71.3%
Sad	20.2%
Happy	3.8%
Confused	2.9%
Disgusted	0.8%
Surprised	0.5%
Angry	0.2%
Fear	0.2%

Age	26-36
Gender	Female, 83.9%
Calm	93.5%
Sad	2.2%
Angry	1.2%
Happy	1%
Confused	0.9%
Fear	0.4%
Surprised	0.4%
Disgusted	0.4%

Human Generated Data

Title

Untitled (group posed in Halloween costumes, Grange meeting)

Date

1950

People

Artist: Francis J. Sullivan, American 1916 - 1996

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18369

Human Generated Data

Title

Untitled (group posed in Halloween costumes, Grange meeting)

People

Artist: Francis J. Sullivan, American 1916 - 1996

Date

1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18369

Machine Generated Data

Tags

Amazoncreated on 2022-03-04

Clarifaicreated on 2023-10-22

Imaggacreated on 2022-03-04

Googlecreated on 2022-03-04

Microsoftcreated on 2022-03-04

Color Analysis

Face analysis

Amazon

Google

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

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Amazon
created on 2022-03-04

Clarifai
created on 2023-10-22

Imagga
created on 2022-03-04

Google
created on 2022-03-04

Microsoft
created on 2022-03-04

Microsoft
created on 2022-03-04

paintings art	51.4%

text visuals	34.3%

streetview architecture	9.2%

interior objects	2%

beaches seaside	1.4%