AI Data for Untitled (people in uniform posing in grocery store) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	36-44
Gender	Male, 96.9%
Calm	63.4%
Happy	26.4%
Surprised	4.2%
Angry	3.9%
Sad	0.6%
Disgusted	0.6%
Confused	0.5%
Fear	0.3%

AWS Rekognition

Age	41-49
Gender	Male, 99.9%
Calm	94.5%
Happy	2.6%
Surprised	1.1%
Angry	0.5%
Sad	0.5%
Disgusted	0.3%
Confused	0.2%
Fear	0.1%

AWS Rekognition

Age	28-38
Gender	Male, 99.9%
Calm	97.8%
Happy	0.8%
Sad	0.6%
Surprised	0.3%
Angry	0.2%
Confused	0.1%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	31-41
Gender	Male, 100%
Happy	36.3%
Calm	33.6%
Surprised	25.3%
Sad	2.1%
Disgusted	1.2%
Confused	0.8%
Angry	0.5%
Fear	0.2%

AWS Rekognition

Age	29-39
Gender	Male, 98.5%
Calm	90.2%
Happy	5.7%
Angry	1.9%
Surprised	0.9%
Sad	0.6%
Disgusted	0.4%
Confused	0.2%
Fear	0.1%

AWS Rekognition

Age	38-46
Gender	Male, 99.9%
Happy	81.5%
Surprised	7.7%
Calm	6.1%
Angry	1.4%
Sad	1.1%
Confused	1%
Disgusted	1%
Fear	0.3%

AWS Rekognition

Age	38-46
Gender	Male, 99.2%
Calm	61.7%
Surprised	12.8%
Sad	7.8%
Disgusted	5%
Angry	5%
Happy	4.6%
Confused	2.3%
Fear	0.8%

AWS Rekognition

Age	48-56
Gender	Female, 90.9%
Happy	93.8%
Sad	2.5%
Calm	2.1%
Confused	0.8%
Surprised	0.3%
Disgusted	0.2%
Angry	0.1%
Fear	0.1%

AWS Rekognition

Age	45-53
Gender	Male, 99.9%
Calm	99.5%
Happy	0.2%
Surprised	0.1%
Sad	0.1%
Confused	0.1%
Disgusted	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	25-35
Gender	Male, 80.1%
Surprised	91.7%
Calm	2.9%
Happy	2.5%
Fear	1.4%
Disgusted	0.6%
Angry	0.4%
Sad	0.3%
Confused	0.1%

AWS Rekognition

Age	35-43
Gender	Male, 99.6%
Calm	56.4%
Happy	43.2%
Sad	0.1%
Confused	0.1%
Disgusted	0.1%
Surprised	0.1%
Fear	0.1%
Angry	0%

AWS Rekognition

Age	31-41
Gender	Male, 99.9%
Calm	57.4%
Happy	26.7%
Sad	4.8%
Fear	3.1%
Surprised	2.9%
Confused	2.1%
Disgusted	1.5%
Angry	1.4%

AWS Rekognition

Age	35-43
Gender	Male, 89%
Calm	78.7%
Happy	20.3%
Sad	0.3%
Angry	0.3%
Surprised	0.2%
Confused	0.1%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	30-40
Gender	Male, 98.4%
Calm	90.6%
Happy	8.9%
Surprised	0.2%
Disgusted	0.1%
Angry	0.1%
Sad	0.1%
Confused	0%
Fear	0%

AWS Rekognition

Age	37-45
Gender	Male, 99.7%
Happy	86.1%
Calm	11%
Surprised	0.7%
Angry	0.7%
Fear	0.6%
Sad	0.5%
Disgusted	0.3%
Confused	0.2%

AWS Rekognition

Age	16-22
Gender	Male, 100%
Calm	78.7%
Surprised	5.9%
Sad	5.8%
Happy	5.4%
Angry	1.7%
Disgusted	1%
Confused	1%
Fear	0.5%

AWS Rekognition

Age	47-53
Gender	Male, 62%
Happy	68.8%
Calm	27.9%
Sad	1.6%
Disgusted	0.9%
Confused	0.3%
Fear	0.3%
Surprised	0.2%
Angry	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 52%
Calm	79.7%
Happy	4.8%
Sad	3.9%
Fear	2.9%
Disgusted	2.8%
Surprised	2.7%
Confused	1.9%
Angry	1.2%

AWS Rekognition

Age	31-41
Gender	Male, 98.1%
Calm	75.4%
Happy	15.9%
Surprised	2.8%
Disgusted	2.6%
Sad	1.3%
Confused	0.7%
Fear	0.7%
Angry	0.6%

AWS Rekognition

Age	43-51
Gender	Male, 97.5%
Calm	97.9%
Happy	1.6%
Sad	0.3%
Disgusted	0.1%
Angry	0.1%
Surprised	0%
Confused	0%
Fear	0%

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person	99.5%

Helmet	91.6%

Sunglasses	61.7%

Captions

Microsoft
created on 2022-01-22

a group of people posing for a photo	96.5%

a group of people posing for the camera	96.4%

a group of people posing for a picture	96.3%

Text analysis

Amazon

FLAKES

Treet

LEAST

CASIONS

AT LEAST

FROSTED

WEEK

ONCE

SCORES

OUT

FOR...

SNOWM

A WEEK

DINE OUT

WAFFLE

CUPLETS

SCORES HIGH/

DINE

and

SUGAR

HIGH/

GRAPEFRUIT

CETS GO FOR...

Kellogg's

PPE D

REINDEER

PPE

CORSAGE

CETS

and For Parties

Sausage

For

CREAM

10-57

Parties

Sausage PORK

MALL

CENTERPICE

as 1

NAGOY

MALL LIBEATHE

LAESE

PORK

LAESE GREATHS

LIBEATHE

GREATHS

use

Google

Treet SCORES HIGH/ Cers Go FOR SUGAR FROSTED FLAKES DINE OUT AT LEAST ONCE A WEEK Lavfile EAM CASIONS WMONG LARGE LREATAS REINDEER CINTERPACE GORSAG GRAPEFRUIT

Treet

SCORES

HIGH/

Cers

FOR

SUGAR

FROSTED

FLAKES

DINE

OUT

LEAST

ONCE

WEEK

Lavfile

EAM

CASIONS

WMONG

LARGE

LREATAS

REINDEER

CINTERPACE

GORSAG

GRAPEFRUIT

Title Untitled (people in uniform posing in grocery store)	Date 1951-1952
People Artist: Orrion Barger, American active 1913 - 1984	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6300

Person	99.5

Human	99.5

Person	99.4

Face	99.3

Person	99.3

Person	99.2

Person	99.2

Person	99.1

Person	98.9

Person	98.4

Person	98.4

Person	98.3

Person	97.2

Clothing	97.1

Apparel	97.1

Person	95.9

Person	95.5

Person	95.3

Person	93.6

Person	93.1

Helmet	91.6

Person	91.3

Person	87.4

Person	86.2

Smile	84.7

People	84

Person	83.1

Suit	80.7

Coat	80.7

Overcoat	80.7

Helmet	78.8

Head	78.1

Crowd	76.7

Portrait	76.6

Photography	76.6

Photo	76.6

Meal	76.1

Food	76.1

Person	75.8

Furniture	74.9

Chair	73.5

Helmet	73.5

Helmet	71.1

Plant	69.2

Helmet	68.8

Glasses	66.2

Accessories	66.2

Accessory	66.2

Helmet	62.9

Sunglasses	61.7

Man	59.2

Table	59

Female	58.3

Beard	57.3

Audience	55.1

people	100

group	99.8

many	99.3

portrait	98.3

woman	97.9

adult	97.7

education	97.5

child	97.2

group together	96

school	96

man	95.3

boy	92.4

leader	91.3

son	86.1

administration	85.8

teacher	85.3

adolescent	85.2

wear	83.2

uniform	82.1

ceremony	77.9

man	34.4

person	32.9

people	30.6

male	29.8

classroom	26

businessman	23.8

business	23.7

men	23.2

room	22.1

adult	19.5

brass	19.2

group	18.5

team	17

teacher	16.5

silhouette	15.7

student	14.8

blackboard	14.5

couple	13.9

education	13.8

wind instrument	13.8

office	13.7

success	13.7

gymnasium	13

human	12.7

diagram	12.4

black	12.1

hand	12.1

teaching	11.7

school	11.4

meeting	11.3

happy	11.3

smiling	10.8

idea	10.7

athletic facility	10.6

chart	10.5

musical instrument	10.5

world	10.1

portrait	9.7

spectator	9.5

night	8.9

looking	8.8

cornet	8.7

women	8.7

30s	8.6

professional	8.6

facility	8.6

youth	8.5

teamwork	8.3

life	8.3

board	8.1

family	8

trombone	8

sport	7.9

work	7.8

drawing	7.7

crowd	7.7

finance	7.6

plan	7.6

communication	7.5

sign	7.5

graphic	7.3

celebration	7.2

financial	7.1

job	7.1

planner	7

Photograph	94.2

Coat	88.5

Font	78.8

Suit	75

Snapshot	74.3

Event	71.4

Team	71.3

Room	69.3

Crew	69.3

Monochrome	68.2

History	68.1

Vintage clothing	66.5

Hat	65.4

Uniform	63.8

Stock photography	61.7

Class	59.1

Monochrome photography	51.8

person	99.6

text	98.8

posing	96.7

outdoor	95.2

group	76.3

clothing	63.8

man	58.3

old	48.4

crowd	2.4

people portraits	80.4%

streetview architecture	16.3%

events parties	1.1%

text visuals	1.1%

Human Generated Data

Title

Untitled (people in uniform posing in grocery store)

Date

1951-1952

People

Artist: Orrion Barger, American active 1913 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6300

Human Generated Data

Title

Untitled (people in uniform posing in grocery store)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1951-1952

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6300

Machine Generated Data

Tags

Amazoncreated on 2022-01-22

Clarifaicreated on 2023-10-26

Imaggacreated on 2022-01-22

Googlecreated on 2022-01-22

Microsoftcreated on 2022-01-22

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

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

Microsoftcreated on 2022-01-22

Text analysis

Amazon
created on 2022-01-22

Clarifai
created on 2023-10-26

Imagga
created on 2022-01-22

Google
created on 2022-01-22

Microsoft
created on 2022-01-22

Microsoft
created on 2022-01-22