AI Data for Untitled (portrait of nuns posing with priest) | AI Explorer

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Human Generated Data

Title Untitled (portrait of nuns posing with priest)	Date 1931
People Artist: Durette 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, 4.2002.4249

Human Generated Data

Title

Untitled (portrait of nuns posing with priest)

People

Artist: Durette Studio, American 20th century

Date

1931

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4249

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	26-43
Gender	Male, 51.8%
Angry	45.1%
Sad	45.2%
Disgusted	45.1%
Surprised	45.1%
Happy	45.3%
Calm	54.2%
Confused	45.1%

Feature analysis

Amazon

Person

Person	97.9%

Captions

Microsoft
created on 2019-06-01

a group of people posing for a photo	84.5%

a group of kids posing for a photo	52.4%

a group of men posing for a photo	52.3%

Human	98.3

Person	97.9

Person	97.9

Person	97.4

Person	96.4

Person	90.2

Person	87.5

Person	84.3

Person	76.4

Nurse	74.6

Face	67.8

Person	65.6

Photo	62.2

Photography	62.2

Portrait	62.2

Clothing	60.9

Apparel	60.9

Chef	56.6

Person	48.8

Person	46.4

people	99.7

adult	96.9

woman	96.1

group	95.9

man	95.7

wear	94.5

veil	90.6

outfit	88.3

many	88.3

wedding	87.7

child	87.4

uniform	85.9

art	84.9

ceremony	84.5

group together	79

music	79

education	78.6

indoors	78.4

several	75.8

medical practitioner	74.3

dress	23.5

wedding	23

container	20.3

bride	20.1

celebration	19.1

marriage	17.1

glass	16.7

tray	16.6

love	15.8

flowers	14.8

party	14.6

embroidery	14.5

chandelier	14.5

art	14.1

decoration	13.9

people	13.4

bouquet	13.3

groom	12.8

fashion	12.8

receptacle	12.7

flower	12.3

romantic	11.6

clothing	11.5

elegance	10.9

lighting fixture	10.8

romance	10.7

ceremony	10.7

net	10.4

holiday	10

water	10

bag	9.6

married	9.6

couple	9.6

luxury	9.4

elegant	9.4

rose	9.4

floral	9.3

event	9.2

black	9

design	9

lace	9

style	8.9

interior	8.8

gown	8.8

bridal	8.7

table	8.7

shower cap	8.6

close	8.5

cap	8.5

drink	8.3

fixture	8.2

silver	7.9

person	7.9

wed	7.8

reception	7.8

face	7.8

arrangement	7.7

old	7.7

human	7.5

festive	7.4

covering	7.4

color	7.2

adult	7.1

decor	7.1

Photograph	97.2

People	93.1

Snapshot	84.5

Stock photography	64

Photography	62.4

Dress	61.5

History	60.4

Black-and-white	56.4

Vintage clothing	54.7

Family	54.3

Team	52.3

Style	51

person	88.6

posing	87.3

clothing	83.4

old	43.5

Age	26-43
Gender	Female, 52.7%
Angry	45.7%
Sad	48.5%
Disgusted	45.3%
Surprised	45.2%
Happy	47.9%
Calm	47.2%
Confused	45.2%

Age	26-43
Gender	Female, 51.8%
Happy	45.4%
Confused	45.2%
Angry	45.6%
Disgusted	45.2%
Surprised	45.3%
Sad	48.4%
Calm	49.8%

Age	26-43
Gender	Female, 51.5%
Angry	45.2%
Calm	52.9%
Sad	45.2%
Surprised	45.2%
Disgusted	45.2%
Happy	46%
Confused	45.2%

Age	20-38
Gender	Male, 54.6%
Calm	51.1%
Surprised	45.4%
Disgusted	45.4%
Happy	45.7%
Sad	46.7%
Confused	45.3%
Angry	45.4%

Age	49-69
Gender	Female, 50.7%
Angry	45.7%
Happy	45.4%
Sad	48.6%
Disgusted	45.2%
Confused	45.4%
Calm	49.5%
Surprised	45.3%

Age	26-43
Gender	Female, 50%
Angry	45.2%
Happy	45.8%
Confused	45.2%
Calm	53.1%
Surprised	45.2%
Sad	45.4%
Disgusted	45.1%

Age	26-43
Gender	Male, 54.2%
Disgusted	45.4%
Calm	46.3%
Angry	45.4%
Sad	45.8%
Happy	51.5%
Surprised	45.2%
Confused	45.4%

Age	26-44
Gender	Male, 52.8%
Sad	50.4%
Happy	45.5%
Surprised	45.2%
Calm	48.2%
Disgusted	45.2%
Confused	45.3%
Angry	45.3%

Age	26-43
Gender	Male, 53.6%
Calm	51%
Surprised	45.4%
Disgusted	45.3%
Happy	46.7%
Sad	45.8%
Confused	45.4%
Angry	45.4%

Age	26-43
Gender	Male, 54%
Disgusted	45.1%
Calm	54.1%
Angry	45.1%
Sad	45.3%
Happy	45.2%
Surprised	45.1%
Confused	45.1%

Person	97.4%

Person	96.4%

Person	90.2%

Person	87.5%

Age	26-43
Gender	Male, 53.4%
Happy	50.8%
Disgusted	45.1%
Sad	46.5%
Surprised	45.1%
Angry	45.3%
Calm	47%
Confused	45.3%

Age	14-25
Gender	Female, 54.5%
Angry	45.4%
Sad	51.6%
Surprised	45.5%
Happy	45.2%
Calm	46.6%
Disgusted	45.2%
Confused	45.5%

Age	20-38
Gender	Male, 53.5%
Disgusted	45.2%
Confused	45.3%
Angry	45.3%
Calm	52.7%
Surprised	45.4%
Happy	45.8%
Sad	45.3%

Age	45-63
Gender	Male, 54.5%
Confused	45.2%
Surprised	45.2%
Sad	45.5%
Angry	45.4%
Happy	45.5%
Calm	52.8%
Disgusted	45.3%

Age	48-68
Gender	Female, 52.3%
Surprised	45.1%
Calm	53.6%
Disgusted	45.1%
Confused	45.1%
Sad	45.8%
Happy	45.1%
Angry	45.2%

streetview architecture	83.8%

paintings art	12.7%

interior objects	1.5%

Human Generated Data

Title

Untitled (portrait of nuns posing with priest)

Date

1931

People

Artist: Durette 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, 4.2002.4249

Human Generated Data

Title

Untitled (portrait of nuns posing with priest)

People

Artist: Durette Studio, American 20th century

Date

1931

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4249

Machine Generated Data

Tags

Amazoncreated on 2019-06-01

Clarifaicreated on 2019-06-01

Imaggacreated on 2019-06-01

Googlecreated on 2019-06-01

Microsoftcreated on 2019-06-01

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-01

Amazon
created on 2019-06-01

Clarifai
created on 2019-06-01

Imagga
created on 2019-06-01

Google
created on 2019-06-01

Microsoft
created on 2019-06-01

Microsoft
created on 2019-06-01