AI Data for Untitled (bar mitzvah, Malden, Massachusetts) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age	5-15
Gender	Female, 74.2%
Calm	42.9%
Surprised	34.3%
Happy	17.4%
Angry	1.6%
Confused	1.6%
Disgusted	1.3%
Sad	0.5%
Fear	0.4%

AWS Rekognition

Age	5-15
Gender	Female, 92.7%
Calm	54.9%
Sad	42.2%
Angry	1.4%
Happy	0.6%
Fear	0.3%
Disgusted	0.3%
Surprised	0.2%
Confused	0.1%

AWS Rekognition

Age	10-20
Gender	Female, 58.1%
Angry	92.2%
Calm	4.2%
Sad	3%
Confused	0.3%
Disgusted	0.1%
Happy	0.1%
Fear	0%
Surprised	0%

AWS Rekognition

Age	22-34
Gender	Female, 82%
Happy	60.2%
Surprised	20.5%
Calm	10.2%
Angry	3.4%
Sad	1.8%
Confused	1.7%
Fear	1.5%
Disgusted	0.7%

AWS Rekognition

Age	16-28
Gender	Female, 96.3%
Happy	98.8%
Surprised	0.4%
Confused	0.2%
Disgusted	0.2%
Fear	0.1%
Angry	0.1%
Calm	0.1%
Sad	0.1%

AWS Rekognition

Age	21-33
Gender	Male, 97.4%
Confused	56.4%
Angry	18.5%
Sad	11.8%
Calm	7.8%
Disgusted	3.4%
Happy	0.8%
Fear	0.8%
Surprised	0.6%

AWS Rekognition

Age	23-35
Gender	Female, 50.4%
Sad	93%
Confused	5.2%
Calm	1.2%
Angry	0.4%
Fear	0%
Disgusted	0%
Surprised	0%
Happy	0%

AWS Rekognition

Age	23-35
Gender	Male, 91.8%
Happy	94.4%
Surprised	3.5%
Angry	1.2%
Calm	0.3%
Confused	0.2%
Sad	0.1%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	22-34
Gender	Male, 94.3%
Calm	42%
Sad	37.9%
Confused	16.9%
Angry	1.2%
Fear	0.8%
Surprised	0.7%
Happy	0.3%
Disgusted	0.1%

AWS Rekognition

Age	24-38
Gender	Female, 61.4%
Calm	68%
Sad	15.2%
Angry	13.4%
Happy	1.6%
Surprised	0.7%
Disgusted	0.5%
Confused	0.5%
Fear	0.2%

AWS Rekognition

Age	22-34
Gender	Male, 91.3%
Angry	51.5%
Sad	28%
Fear	12.6%
Confused	2.3%
Calm	2.1%
Happy	1.7%
Surprised	1%
Disgusted	0.8%

AWS Rekognition

Age	37-55
Gender	Male, 92.4%
Calm	51.1%
Sad	40.6%
Angry	3.3%
Confused	2.1%
Happy	1.7%
Disgusted	0.4%
Surprised	0.4%
Fear	0.4%

AWS Rekognition

Age	18-30
Gender	Male, 85.6%
Calm	89.6%
Angry	4.5%
Sad	2.5%
Happy	1.3%
Fear	0.8%
Surprised	0.8%
Confused	0.3%
Disgusted	0.2%

AWS Rekognition

Age	17-29
Gender	Male, 89.2%
Sad	55.5%
Calm	25.1%
Confused	6.2%
Fear	5.6%
Surprised	3.3%
Angry	2.6%
Disgusted	0.8%
Happy	0.7%

AWS Rekognition

Age	23-35
Gender	Male, 87.1%
Calm	69.3%
Sad	10.7%
Confused	8.6%
Angry	4%
Happy	3.4%
Surprised	1.9%
Disgusted	1.4%
Fear	0.8%

AWS Rekognition

Age	39-57
Gender	Male, 93.2%
Calm	48.9%
Sad	38.2%
Disgusted	6.4%
Confused	4.2%
Surprised	1.1%
Happy	0.5%
Fear	0.4%
Angry	0.4%

AWS Rekognition

Age	28-44
Gender	Female, 61.7%
Sad	90.8%
Calm	5.4%
Fear	2.8%
Angry	0.2%
Confused	0.2%
Surprised	0.2%
Happy	0.2%
Disgusted	0.1%

AWS Rekognition

Age	13-25
Gender	Female, 84.9%
Sad	69.1%
Calm	22.6%
Angry	6.2%
Confused	0.8%
Happy	0.5%
Disgusted	0.3%
Surprised	0.3%
Fear	0.3%

Microsoft Cognitive Services

Age	15
Gender	Female

Microsoft Cognitive Services

Age	8
Gender	Female

Microsoft Cognitive Services

Age	27
Gender	Female

Microsoft Cognitive Services

Age	43
Gender	Female

Google Vision

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

Feature analysis

Amazon

Person	99.4%

Suit	93.2%

Tie	84.5%

Poster	56.9%

Captions

Microsoft
created on 2021-12-14

a group of people posing for a photo	98.3%

a group of people posing for the camera	98.2%

a group of people posing for a picture	98.1%

Text analysis

Amazon

68%

24)

24) Samuel Cooper Studio

Samuel

Studio

190

Cooper

Massachusetts

Brookline Massachusetts

Malden

Brookline

1960's

c. 1960's

Google

Samuel

Cooper

Studio

Braaktine,

Malden

68%

190

24) Samuel Cooper Studio Braaktine, Massachusetts c. 1960's Malden 33 68% 190

24)

Massachusetts

1960's

Title Untitled (bar mitzvah, Malden, Massachusetts)	Date 1960s, printed later
People Artist: Samuel Cooper, American active 1950s	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1007

people	100

group	99.8

group together	99.6

adult	98.6

woman	98.3

many	98.3

man	97.2

wedding	93.3

leader	90.3

several	89.8

wear	88.5

administration	85.4

monochrome	84.7

child	84.2

dress	83.3

actress	83.3

outfit	82.7

portrait	82.1

music	82.1

facial expression	78.1

man	38.3

businessman	37

male	34

people	32.9

business	32.8

person	31.6

office	31.5

group	24.2

desk	23.7

meeting	23.5

adult	22.8

corporate	22.3

professional	22.1

men	20.6

executive	18.8

room	18.8

happy	18.2

suit	18.1

work	18

team	17.9

laptop	17.6

businesspeople	17.1

computer	17

job	16.8

indoor	16.4

businesswoman	15.4

worker	15.2

manager	14.9

table	14.8

clothing	14.6

handsome	14.3

couple	13.9

colleagues	13.6

indoors	13.2

sitting	12.9

success	12.9

women	12.6

working	12.4

tie	12.3

teamwork	12

looking	12

confident	11.8

groom	11.6

mid adult	11.6

nurse	11.4

portrait	11

successful	11

happiness	11

smiling	10.8

smile	10.7

cheerful	10.6

uniform	10.5

career	10.4

education	10.4

senior	10.3

collaboration	9.8

conference	9.8

partners	9.7

cooperation	9.7

corporation	9.6

together	9.6

jacket	9.6

adults	9.5

two	9.3

communication	9.2

new	8.9

military uniform	8.7

formal	8.6

casual	8.5

modern	8.4

mature	8.4

color	8.3

20s	8.2

attendant	8.2

family	8

student	7.9

associates	7.9

coworkers	7.9

paper	7.8

face	7.8

pretty	7.7

30s	7.7

attractive	7.7

boss	7.6

ethnic	7.6

plan	7.6

pen	7.5

company	7.4

patient	7.2

home	7.2

Outerwear	95.5

Coat	93.5

Table	83.8

Suit	81.9

Chair	78.3

Formal wear	76.1

Event	74.7

Vintage clothing	73.7

Classic	72.2

Hat	71.8

Monochrome photography	71.3

Monochrome	69.1

Font	68.3

Room	65.4

Family reunion	64

Stock photography	64

Photo caption	63.7

History	63.6

Art	57.1

Retro style	54.3

text	99.5

person	99.4

clothing	98.9

wall	98.1

posing	97.4

man	94.8

group	85.7

people	80.4

woman	74.1

suit	61.9

smile	58.8

old	56.4

clothes	18.6

crowd	0.9

Person	99.4

Human	99.4

Person	98.9

Person	98.5

Person	96

Person	95

Person	94.5

Suit	93.2

Coat	93.2

Apparel	93.2

Clothing	93.2

Overcoat	93.2

Person	92.8

Person	90.2

Accessory	84.5

Tie	84.5

Accessories	84.5

Crowd	83

People	82.8

Person	82

Tablecloth	64.1

Person	63.9

Person	62.4

Person	62.1

Press Conference	58.7

Advertisement	56.9

Poster	56.9

Person	43.1

people portraits	32.3%

events parties	23.4%

interior objects	16.3%

text visuals	11.3%

food drinks	6.2%

paintings art	4.2%

nature landscape	3.2%

cars vehicles	1.1%

Human Generated Data

Title

Untitled (bar mitzvah, Malden, Massachusetts)

Date

1960s, printed later

People

Artist: Samuel Cooper, American active 1950s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1007

Human Generated Data

Title

Untitled (bar mitzvah, Malden, Massachusetts)

People

Artist: Samuel Cooper, American active 1950s

Date

1960s, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1007

Machine Generated Data

Tags

Amazoncreated on 2021-12-14

Clarifaicreated on 2023-10-15

Imaggacreated on 2021-12-14

Googlecreated on 2021-12-14

Microsoftcreated on 2021-12-14

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

AWS Rekognition

AWS Rekognition

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

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 2021-12-14

Text analysis

Amazon
created on 2021-12-14

Clarifai
created on 2023-10-15

Imagga
created on 2021-12-14

Google
created on 2021-12-14

Microsoft
created on 2021-12-14

Microsoft
created on 2021-12-14