AI Data for Untitled (large group portrait of clergymen and choir boys posed outside church) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	26-43
Gender	Female, 52.9%
Sad	52%
Calm	47.2%
Happy	45.3%
Surprised	45.1%
Angry	45.2%
Disgusted	45.1%
Confused	45.1%

AWS Rekognition

Age	26-43
Gender	Male, 52.9%
Sad	45.2%
Happy	45%
Confused	45%
Surprised	45.1%
Disgusted	45.1%
Calm	54.5%
Angry	45.1%

AWS Rekognition

Age	15-25
Gender	Male, 54.1%
Happy	45.3%
Disgusted	45.7%
Calm	52.3%
Sad	45.7%
Surprised	45.3%
Confused	45.3%
Angry	45.5%

AWS Rekognition

Age	35-52
Gender	Male, 53.7%
Calm	45.5%
Disgusted	45.1%
Sad	53.7%
Confused	45.2%
Happy	45.1%
Surprised	45.1%
Angry	45.3%

AWS Rekognition

Age	29-45
Gender	Male, 52.3%
Confused	45%
Angry	45%
Surprised	45.1%
Sad	45.1%
Happy	45.1%
Calm	54.7%
Disgusted	45%

AWS Rekognition

Age	10-15
Gender	Male, 53.5%
Calm	52.9%
Surprised	45.1%
Confused	45.1%
Sad	46.1%
Angry	45.2%
Happy	45.3%
Disgusted	45.2%

AWS Rekognition

Age	35-52
Gender	Male, 52.8%
Confused	45.2%
Angry	45.3%
Surprised	45.2%
Happy	45.2%
Calm	49.9%
Disgusted	45.1%
Sad	49.1%

AWS Rekognition

Age	30-47
Gender	Male, 54.7%
Happy	45.2%
Sad	48.4%
Confused	45.2%
Angry	45.2%
Disgusted	45.3%
Calm	50.6%
Surprised	45.2%

AWS Rekognition

Age	26-43
Gender	Female, 51.9%
Surprised	45.8%
Confused	45.3%
Calm	50%
Disgusted	45.3%
Angry	45.2%
Happy	48.1%
Sad	45.3%

AWS Rekognition

Age	26-43
Gender	Male, 95.6%
Sad	9.9%
Surprised	2.1%
Calm	81.7%
Confused	1.3%
Happy	2.1%
Disgusted	0.9%
Angry	2.1%

AWS Rekognition

Age	26-43
Gender	Male, 51.2%
Sad	50%
Disgusted	45.2%
Angry	45.5%
Calm	48.5%
Surprised	45.2%
Confused	45.3%
Happy	45.4%

AWS Rekognition

Age	48-68
Gender	Female, 54.9%
Confused	45.3%
Happy	46.2%
Sad	45.7%
Surprised	45.5%
Angry	45.3%
Disgusted	45.1%
Calm	51.9%

AWS Rekognition

Age	26-44
Gender	Male, 54.9%
Calm	54%
Sad	45.4%
Disgusted	45.1%
Happy	45.1%
Confused	45.1%
Angry	45.1%
Surprised	45.2%

AWS Rekognition

Age	12-22
Gender	Male, 52.9%
Happy	45.4%
Surprised	45.3%
Disgusted	45.2%
Calm	48.2%
Sad	50.3%
Confused	45.3%
Angry	45.3%

AWS Rekognition

Age	16-27
Gender	Male, 51.6%
Happy	47.7%
Surprised	45.4%
Sad	45.5%
Confused	45.2%
Angry	45.4%
Disgusted	48.6%
Calm	47.2%

AWS Rekognition

Age	26-43
Gender	Male, 54.2%
Happy	45.2%
Calm	53.4%
Sad	45.7%
Angry	45.1%
Confused	45.1%
Surprised	45.1%
Disgusted	45.3%

AWS Rekognition

Age	29-45
Gender	Male, 54.8%
Angry	45.1%
Happy	45.2%
Sad	46.4%
Confused	45.2%
Disgusted	45.2%
Surprised	45.2%
Calm	52.7%

AWS Rekognition

Age	23-38
Gender	Female, 51.8%
Sad	53.2%
Disgusted	45.3%
Happy	45.2%
Calm	45.2%
Angry	45.6%
Confused	45.3%
Surprised	45.2%

AWS Rekognition

Age	30-47
Gender	Male, 71.7%
Happy	2.1%
Disgusted	12%
Calm	49.4%
Sad	21.6%
Surprised	3%
Confused	1.8%
Angry	10%

AWS Rekognition

Age	26-43
Gender	Male, 54.7%
Confused	45.5%
Happy	48.9%
Surprised	45.8%
Disgusted	45.5%
Calm	47.3%
Angry	45.6%
Sad	46.4%

AWS Rekognition

Age	26-43
Gender	Male, 54.9%
Angry	45.1%
Sad	45.3%
Surprised	45.1%
Confused	45%
Calm	54.3%
Happy	45.1%
Disgusted	45%

AWS Rekognition

Age	29-45
Gender	Male, 54.2%
Angry	45.3%
Disgusted	45.1%
Sad	47.7%
Surprised	45.1%
Happy	45.1%
Calm	51.6%
Confused	45.1%

AWS Rekognition

Age	26-43
Gender	Male, 54.6%
Happy	45.4%
Disgusted	45.2%
Sad	46.1%
Angry	45.2%
Confused	45.2%
Surprised	45.2%
Calm	52.8%

AWS Rekognition

Age	26-43
Gender	Male, 50.5%
Calm	51.9%
Happy	45.3%
Confused	45.3%
Disgusted	45.6%
Sad	45.9%
Surprised	45.4%
Angry	45.5%

AWS Rekognition

Age	19-36
Gender	Male, 52.3%
Happy	45.1%
Calm	45.9%
Confused	45.2%
Sad	53.5%
Disgusted	45%
Surprised	45.1%
Angry	45.2%

AWS Rekognition

Age	35-52
Gender	Male, 52.9%
Surprised	45.2%
Angry	45.2%
Sad	45.7%
Calm	49.3%
Happy	49.4%
Confused	45.2%
Disgusted	45.1%

AWS Rekognition

Age	6-13
Gender	Female, 54%
Happy	45.2%
Sad	46.6%
Calm	52.5%
Angry	45.2%
Confused	45.2%
Disgusted	45%
Surprised	45.3%

AWS Rekognition

Age	29-45
Gender	Male, 70.5%
Confused	4.7%
Sad	27.2%
Angry	22.6%
Happy	2.4%
Calm	31.7%
Disgusted	5.5%
Surprised	5.9%

AWS Rekognition

Age	38-59
Gender	Male, 54.6%
Calm	48.8%
Sad	50.8%
Confused	45.1%
Disgusted	45.1%
Angry	45.1%
Happy	45.1%
Surprised	45.1%

AWS Rekognition

Age	20-38
Gender	Male, 50.9%
Disgusted	45.3%
Confused	45.3%
Sad	47.3%
Happy	45.7%
Surprised	45.4%
Calm	50.8%
Angry	45.3%

AWS Rekognition

Age	26-43
Gender	Male, 53.8%
Confused	45.3%
Happy	45.2%
Angry	45.4%
Disgusted	45.2%
Sad	51.8%
Calm	46.9%
Surprised	45.2%

AWS Rekognition

Age	26-43
Gender	Male, 54.9%
Surprised	45.1%
Sad	45.7%
Disgusted	45.1%
Happy	45.1%
Confused	45.1%
Calm	53.9%
Angry	45.1%

AWS Rekognition

Age	26-43
Gender	Male, 54.8%
Happy	45.6%
Disgusted	45.6%
Calm	52%
Surprised	45.2%
Confused	45.3%
Angry	45.3%
Sad	46.1%

AWS Rekognition

Age	10-15
Gender	Female, 50.9%
Happy	45.1%
Confused	45.4%
Calm	46.1%
Sad	52.6%
Disgusted	45.1%
Angry	45.4%
Surprised	45.2%

AWS Rekognition

Age	26-43
Gender	Female, 52.3%
Sad	52.1%
Surprised	45.1%
Disgusted	45.1%
Happy	45.4%
Angry	45.2%
Confused	45.2%
Calm	46.8%

AWS Rekognition

Age	26-43
Gender	Female, 53.5%
Surprised	45.7%
Disgusted	46.9%
Calm	46.8%
Sad	46.1%
Confused	45.5%
Happy	48%
Angry	45.9%

AWS Rekognition

Age	26-43
Gender	Female, 52.5%
Confused	45.1%
Angry	45.1%
Surprised	45.2%
Disgusted	53.8%
Calm	45.5%
Happy	45.2%
Sad	45.2%

AWS Rekognition

Age	29-45
Gender	Male, 52.4%
Surprised	45.2%
Confused	45.3%
Calm	52.1%
Disgusted	45.2%
Angry	45.1%
Happy	45.2%
Sad	47%

AWS Rekognition

Age	14-23
Gender	Female, 52.4%
Disgusted	46.8%
Confused	45.8%
Surprised	45.6%
Angry	45.7%
Happy	45.8%
Sad	48.4%
Calm	46.9%

AWS Rekognition

Age	20-38
Gender	Male, 54.9%
Disgusted	45.2%
Calm	50.9%
Sad	46.2%
Confused	45.2%
Happy	46.7%
Surprised	45.3%
Angry	45.5%

AWS Rekognition

Age	35-52
Gender	Male, 51.9%
Disgusted	45.2%
Surprised	45.1%
Confused	45.2%
Angry	45.2%
Sad	53.8%
Calm	45.4%
Happy	45.2%

AWS Rekognition

Age	26-43
Gender	Male, 54.5%
Confused	45.3%
Sad	45.6%
Calm	52.9%
Happy	45.6%
Surprised	45.3%
Angry	45.3%
Disgusted	45.1%

AWS Rekognition

Age	26-43
Gender	Female, 53.3%
Happy	45.7%
Sad	46.3%
Angry	45.5%
Disgusted	45.3%
Surprised	45.9%
Calm	51%
Confused	45.3%

AWS Rekognition

Age	35-52
Gender	Male, 52.4%
Happy	45.4%
Sad	47.6%
Surprised	45.2%
Disgusted	45.8%
Angry	45.5%
Calm	50.3%
Confused	45.3%

AWS Rekognition

Age	23-38
Gender	Male, 53.2%
Angry	45.1%
Surprised	45.2%
Sad	45.8%
Calm	53.6%
Confused	45.1%
Happy	45.1%
Disgusted	45.1%

AWS Rekognition

Age	38-59
Gender	Female, 53%
Happy	45.7%
Angry	47.8%
Sad	47%
Confused	46.2%
Disgusted	45.7%
Calm	46.8%
Surprised	45.9%

AWS Rekognition

Age	29-45
Gender	Male, 89.2%
Confused	3%
Angry	2.2%
Surprised	1.6%
Happy	50.5%
Calm	26.4%
Disgusted	1.4%
Sad	14.9%

AWS Rekognition

Age	35-52
Gender	Female, 51.3%
Disgusted	45.4%
Happy	45.5%
Confused	45.5%
Sad	50.2%
Surprised	45.5%
Calm	47.3%
Angry	45.7%

AWS Rekognition

Age	35-52
Gender	Male, 53.9%
Confused	45.6%
Happy	45.9%
Sad	49.4%
Surprised	45.4%
Angry	45.7%
Disgusted	46.7%
Calm	46.2%

AWS Rekognition

Age	10-15
Gender	Female, 50.2%
Sad	45.3%
Disgusted	45%
Angry	45.1%
Calm	54.3%
Surprised	45.1%
Confused	45.2%
Happy	45%

AWS Rekognition

Age	12-22
Gender	Male, 52.5%
Surprised	45.1%
Calm	54.4%
Disgusted	45.1%
Happy	45.1%
Angry	45.1%
Sad	45.3%
Confused	45%

AWS Rekognition

Age	26-43
Gender	Male, 51.5%
Sad	54.1%
Calm	45.4%
Happy	45%
Surprised	45.1%
Angry	45.2%
Disgusted	45.1%
Confused	45.1%

AWS Rekognition

Age	26-44
Gender	Female, 52.4%
Sad	48.2%
Happy	45.8%
Angry	46.4%
Disgusted	45.3%
Confused	45.5%
Calm	48.3%
Surprised	45.7%

AWS Rekognition

Age	20-38
Gender	Female, 53.4%
Calm	49.5%
Sad	47.7%
Surprised	45.6%
Confused	45.6%
Happy	45.6%
Angry	45.6%
Disgusted	45.5%

AWS Rekognition

Age	20-38
Gender	Female, 54.9%
Happy	46.9%
Calm	47.1%
Angry	45.6%
Disgusted	45.8%
Confused	45.8%
Surprised	46.4%
Sad	47.4%

AWS Rekognition

Age	20-38
Gender	Male, 52.6%
Calm	50.4%
Sad	47.5%
Disgusted	45.2%
Happy	45.3%
Confused	45.5%
Angry	45.5%
Surprised	45.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.5%
Angry	49.6%
Disgusted	49.5%
Confused	49.6%
Surprised	49.5%
Sad	49.6%
Happy	49.5%
Calm	50.1%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Sad	50.3%
Disgusted	49.5%
Happy	49.5%
Calm	49.6%
Angry	49.5%
Confused	49.5%
Surprised	49.5%

AWS Rekognition

Age	20-38
Gender	Male, 50.9%
Sad	46.1%
Confused	46.2%
Disgusted	45.4%
Calm	51%
Happy	45.2%
Angry	45.6%
Surprised	45.5%

Feature analysis

Amazon

Person	98.5%

Captions

Microsoft

a group of people standing in front of a crowd posing for the camera	94.5%

a group of people posing for a photo in front of a crowd	94.4%

a group of people posing for a photo	94.3%

Text analysis

Amazon

SAFETY

KODAK

KODAK SAFETY FILM

FILM

Google

KODAK SAFETY FILM 6

KODAK

SAFETY

FILM

Title Untitled (large group portrait of clergymen and choir boys posed outside church)	Date c. 1955-1960
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, 4.2002.11071

Audience	99.8

Crowd	99.8

Human	99.8

Person	98.5

Person	98

Indoors	97

Room	97

Person	96.9

Interior Design	96.9

Person	96.5

Classroom	95

School	95

Person	92.5

Person	90.8

Person	86.7

Person	86

Person	85.2

Person	85

Face	82.5

Speech	80.6

Person	79.5

Person	76.4

Person	74.9

Person	74.7

Person	74.4

Person	74.4

Person	74.4

Person	74.2

Court	72.6

Person	71.5

Lecture	71.5

Person	68.9

Person	68.1

People	68

Person	67.1

Person	61.9

Portrait	61.7

Photography	61.7

Photo	61.7

Person	60.8

Seminar	59.7

Clothing	57.7

Overcoat	57.7

Coat	57.7

Suit	57.7

Apparel	57.7

Person	54.8

Person	47.6

Person	47.3

Person	46.6

people	99.9

many	99.6

group	99.3

crowd	99

man	98.6

group together	98.2

adult	97.2

education	94.6

woman	94.5

leader	94.2

portrait	94

audience	93.4

school	93.2

child	92

unify	91.4

teacher	89.7

retro	87.6

conformity	85.8

classroom	85

class	82.3

classroom	52.3

room	39.4

people	38.4

man	34.4

group	33.8

person	33.1

businessman	28.2

male	26.2

business	24.3

meeting	20.7

silhouette	19.8

student	19.6

adult	19.3

blackboard	19.3

men	18.9

team	17.9

education	17.3

teacher	17.2

businesswoman	16.3

crowd	15.3

black	15

work	14.9

success	14.5

boy	13.9

happy	13.1

office	12.9

design	12.9

women	12.6

teamwork	12

corporate	12

professional	11.9

music	10.9

smiling	10.8

school	10.7

audience	10.7

concert	10.7

art	10.6

human	10.5

portrait	10.3

spectator	10.2

event	10.2

communication	10.1

hand	9.9

teaching	9.7

job	9.7

couple	9.6

drawing	9.6

celebration	9.6

youth	9.4

occupation	9.2

child	9

dance	8.9

together	8.7

graphic	8.7

hands	8.7

musical	8.6

musician	8.5

modern	8.4

presentation	8.4

old	8.3

element	8.3

life	8

working	7.9

seminar	7.9

smile	7.8

band	7.8

colleagues	7.8

grunge	7.7

performance	7.6

bass	7.6

businesspeople	7.6

sign	7.5

senior	7.5

technology	7.4

board	7.2

photographer	7.2

icon	7.1

idea	7.1

creative	7.1

happiness	7

Photograph	95.7

Social group	93.2

Crowd	75

Team	74.5

Class	70.2

History	68.8

Photography	62.4

Crew	57.8

person	99.9

posing	95.8

indoor	92.6

group	78.5

hall	27

crowd	26.9

auditorium	16.2

school	4.7

tennis	3.1

choir	2

concert	1.6

interior objects	21.6%

text visuals	18.3%

food drinks	17.4%

streetview architecture	17%

people portraits	7%

paintings art	5.9%

events parties	5.4%

beaches seaside	4.2%

pets animals	1.7%

Human Generated Data

Title

Untitled (large group portrait of clergymen and choir boys posed outside church)

Date

c. 1955-1960

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, 4.2002.11071

Human Generated Data

Title

Untitled (large group portrait of clergymen and choir boys posed outside church)

People

Artist: Claseman Studio, American 20th century

Date

c. 1955-1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11071

Machine Generated Data

Tags

Amazoncreated on 2019-03-25

Clarifaicreated on 2019-03-25

Imaggacreated on 2019-03-25

Googlecreated on 2019-03-25

Microsoftcreated on 2019-03-25

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

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

Amazon
created on 2019-03-25

Clarifai
created on 2019-03-25

Imagga
created on 2019-03-25

Google
created on 2019-03-25

Microsoft
created on 2019-03-25