AI Data for Untitled (grocery store employee holding piece of beef) | AI Explorer

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Human Generated Data

Title Untitled (grocery store employee holding piece of beef)	Date 1968-1971, printed later
People Artist: Martin Schweig, 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, 4.2002.10319

Human Generated Data

Title

Untitled (grocery store employee holding piece of beef)

People

Artist: Martin Schweig, American 20th century

Date

1968-1971, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10319

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age	22-34
Gender	Male, 54.9%
Happy	54.6%
Angry	45.1%
Disgusted	45%
Sad	45%
Surprised	45.1%
Calm	45%
Fear	45.1%
Confused	45%

Feature analysis

Amazon

Person

Person	99%

Captions

Microsoft
created on 2019-11-16

a person standing in front of a mirror posing for the camera	84.1%

a person standing in front of a mirror posing for the camera	84%

a man and woman standing in front of a mirror posing for the camera	70.6%

Text analysis

Amazon

59935A

Cheerios

STAMPS

EAGEE STAMPS

EAGEE

Google

EALE STAMPS EL Cheerios 59935A

EALE

STAMPS

EL

Cheerios

59935A

Human	99

Person	99

Person	99

Person	98.2

Person	98.1

Person	98

Person	97.8

Apparel	97.7

Clothing	97.7

Person	97.3

Chef	95.2

Collage	91

Poster	91

Advertisement	91

Person	77.5

Shorts	63.7

Sleeve	63.6

people	99.9

group	99.4

man	99.1

television	98.6

adult	98

monochrome	97.9

woman	96

two	95.5

three	93.3

group together	93.1

portrait	90.5

four	88.9

several	88

leader	87.3

hospital	87.3

medical practitioner	87

uniform	86.9

music	85.3

collage	85.2

screen	84.2

newspaper	31.3

product	25.9

creation	25.9

man	20.1

people	20.1

person	18.6

office	16.2

happy	15.7

portrait	15.5

business	15.2

world	14.6

mug shot	14.2

black	14

male	13.5

adult	13.2

child	12.8

smiling	12.3

dress	11.7

family	11.6

businessman	11.5

photograph	11.1

art	11.1

smile	10.7

bride	10.5

old	10.4

representation	9.7

one	9.7

brunette	9.6

window	9.5

happiness	9.4

face	9.2

billboard	9.1

fashion	9

currency	9

room	8.9

hair	8.7

women	8.7

money	8.5

pretty	8.4

vintage	8.3

human	8.2

body	8

blackboard	8

interior	8

working	8

couple	7.8

boy	7.8

desk	7.8

men	7.7

culture	7.7

elegance	7.6

design	7.5

computer	7.4

wedding	7.4

signboard	7.3

financial	7.1

love	7.1

drawing	7.1

modern	7

Photograph	97.4

Black-and-white	87.9

Snapshot	87.6

Photography	77

Monochrome photography	69.6

Room	65.7

Photographic paper	63.3

Art	62.5

Picture frame	58.3

Photograph album	57.1

Collection	55.6

Album	51.8

Portrait	51.6

Interior design	50.1

person	97

clothing	96.5

man	95.5

text	91.9

human face	71.6

black and white	66.1

posing	62.2

gallery	61.4

room	51.7

Age	41-59
Gender	Male, 54.8%
Happy	45.1%
Fear	45.1%
Angry	46.1%
Confused	47.1%
Surprised	45.1%
Disgusted	51.1%
Calm	45.2%
Sad	45.3%

Age	50-68
Gender	Male, 54.9%
Sad	45%
Disgusted	45%
Happy	53.8%
Confused	45%
Fear	45%
Angry	45%
Calm	46.1%
Surprised	45%

Age	26-40
Gender	Male, 54.7%
Sad	45.1%
Surprised	45%
Confused	45%
Fear	45%
Angry	45%
Happy	54.6%
Calm	45.2%
Disgusted	45%

Age	26-42
Gender	Male, 54%
Happy	55%
Disgusted	45%
Fear	45%
Calm	45%
Confused	45%
Sad	45%
Surprised	45%
Angry	45%

Age	38-56
Gender	Male, 54.9%
Fear	45%
Confused	45%
Happy	55%
Calm	45%
Surprised	45%
Sad	45%
Angry	45%
Disgusted	45%

Age	22-34
Gender	Male, 54.6%
Sad	45%
Fear	45%
Angry	45.1%
Surprised	45%
Confused	45%
Calm	45%
Happy	54.9%
Disgusted	45%

Age	23-35
Gender	Male, 50.3%
Disgusted	49.5%
Calm	49.6%
Surprised	49.5%
Fear	49.7%
Happy	49.5%
Confused	49.5%
Sad	50.1%
Angry	49.5%

Age	9-19
Gender	Male, 50.1%
Sad	49.6%
Disgusted	49.5%
Fear	50.3%
Angry	49.5%
Happy	49.5%
Surprised	49.5%
Calm	49.5%
Confused	49.5%

Age	23-37
Gender	Male, 50.5%
Fear	49.5%
Calm	49.6%
Disgusted	49.5%
Happy	49.5%
Sad	49.9%
Confused	49.5%
Surprised	49.5%
Angry	49.9%

Age	20-32
Gender	Female, 50%
Angry	49.5%
Fear	49.7%
Disgusted	49.5%
Sad	50.2%
Confused	49.5%
Calm	49.5%
Happy	49.5%
Surprised	49.5%

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	Possible
Headwear	Likely
Blurred	Very unlikely

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

Person	98.2%

Age	47-65
Gender	Male, 50.5%
Angry	49.5%
Sad	50.4%
Calm	49.6%
Fear	49.6%
Happy	49.5%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%

Age	38-56
Gender	Female, 50.2%
Angry	49.5%
Happy	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	50.3%
Sad	49.6%
Confused	49.5%
Calm	49.5%

Age	7-17
Gender	Female, 50%
Fear	50.3%
Calm	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%
Sad	49.6%
Surprised	49.5%

Age	43-61
Gender	Male, 50.2%
Disgusted	49.5%
Sad	50%
Happy	49.5%
Surprised	49.5%
Calm	49.5%
Fear	50%
Confused	49.5%
Angry	49.5%

Age	43-61
Gender	Male, 50.4%
Happy	49.5%
Fear	50%
Sad	49.6%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%
Calm	49.6%
Angry	49.6%

Human Generated Data

Title

Untitled (grocery store employee holding piece of beef)

Date

1968-1971, printed later

People

Artist: Martin Schweig, 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, 4.2002.10319

Human Generated Data

Title

Untitled (grocery store employee holding piece of beef)

People

Artist: Martin Schweig, American 20th century

Date

1968-1971, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10319

Machine Generated Data

Tags

Amazoncreated on 2019-11-16

Clarifaicreated on 2019-11-16

Imaggacreated on 2019-11-16

Googlecreated on 2019-11-16

Microsoftcreated on 2019-11-16

Color Analysis

Face analysis

Amazon

Microsoft

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

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-11-16

Text analysis

Amazon

Google

Amazon
created on 2019-11-16

Clarifai
created on 2019-11-16

Imagga
created on 2019-11-16

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

Microsoft
created on 2019-11-16