AI Data for Social Settlements: Great Britain, England. London. "Bermondsey Settlement": Bermondsey Settlement, London, Eng.: Nurses' patients on a summer outing | AI Explorer

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Human Generated Data

Title Social Settlements: Great Britain, England. London. "Bermondsey Settlement": Bermondsey Settlement, London, Eng.: Nurses' patients on a summer outing	Date c. 1903
People Artist: Unidentified Artist,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2688.2

Human Generated Data

Title

Social Settlements: Great Britain, England. London. "Bermondsey Settlement": Bermondsey Settlement, London, Eng.: Nurses' patients on a summer outing

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2688.2

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	20-38
Gender	Female, 51.5%
Disgusted	50%
Confused	45.2%
Angry	45.9%
Sad	45.4%
Surprised	45.2%
Happy	45.2%
Calm	48.1%

Feature analysis

Amazon

Person

Painting

Person	98.2%

Captions

Microsoft
created on 2019-06-05

a vintage photo of a group of people posing for the camera	91%

a vintage photo of a group of people posing for a picture	90.9%

a group of people posing for a photo	90.8%

Clarifai
created by general-english-image-caption-blip on 2025-05-16

a photograph of a group of people standing around a group of people	-100%

Person	98.2

Human	98.2

Person	95.6

Person	95.2

Person	93

Person	92.5

Person	92.1

Painting	91.5

Art	91.5

People	89.9

Person	89.3

Person	88.3

Person	88

Person	86.6

Person	86.3

Person	85.3

Person	82.3

Person	79.1

Person	79

Person	72.8

Furniture	72.4

Chair	72.4

Plant	71.6

Grass	71.6

Room	66.4

Indoors	66.4

Person	64.3

Person	62.4

Crowd	62.1

Clothing	61.6

Apparel	61.6

Audience	59.8

Boy	59.1

Person	58.5

Person	58.3

Meal	56.3

Food	56.3

Tree	56.2

Person	55.4

Person	49.9

Person	43.1

people	99.6

adult	96.1

wear	95.9

group	94.8

child	94.6

man	94.4

retro	94

woman	93.8

group together	91.3

many	86.8

portrait	84.7

vintage	84.6

outfit	83.1

veil	82.9

several	79.4

music	78.6

wedding	77.5

art	76.5

boy	73.9

dancing	72.8

person	96

clothing	95.4

outdoor	95

old	94.3

man	83.4

group	74.5

black	71

posing	70.8

player	67.1

human face	55.6

vintage	30.1

crowd	0.6

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

paintings art	94%

macro flowers	5.5%

texture	39.6

grunge	34.9

wallpaper	32.9

old	29.3

aged	26.3

vintage	24.2

pattern	22.6

surface	22.1

water	22

canvas	21.8

design	20.8

dirty	20.8

glass	19.6

antique	19.4

frame	19.2

material	18.8

backgrounds	18.7

rough	18.2

wall	18.2

detail	17.7

graphic	16.8

textured	16.7

decay	16.4

structure	16.4

aging	16.3

grungy	16.1

container	16.1

paint	15.4

stain	15.4

bottle	14.4

close	14.3

weathered	14.3

backdrop	14

paper	13.8

ocean	13.7

border	13.6

art	13.2

damaged	12.4

textures	12.3

sand	11.8

color	11.7

detailed	11.5

edge	11.5

beach	11.5

liquid	11.5

retro	11.5

wet	10.7

obsolete	10.5

wave	10.5

artistic	10.4

drops	10.4

brown	10.3

grain	10.3

sea	10.2

closeup	10.1

artwork	10.1

drink	10

flower	10

drop	10

yellow	9.9

vessel	9.9

travel	9.9

card	9.8

grime	9.8

mottled	9.8

crack	9.7

style	9.6

cardboard	9.6

rusty	9.5

drawing	9.5

effect	9.1

transparent	9

painterly	8.9

ice	8.9

decoration	8.8

fracture	8.8

clear	8.7

messy	8.7

stained	8.7

rubbish	8.6

cold	8.6

floral	8.5

summer	8.4

document	8.4

element	8.3

plastic bag	8.2

cool	8

empty	7.9

holiday	7.9

smudged	7.9

text	7.9

album	7.8

ancient	7.8

space	7.8

rust	7.7

tropical	7.7

splash	7.7

painted	7.6

crystal	7.6

bag	7.6

rain	7.5

sheet	7.5

clean	7.5

cover	7.4

natural	7.4

letter	7.3

sky	7

Age	35-52
Gender	Male, 52.4%
Calm	45.3%
Disgusted	45.1%
Surprised	45%
Sad	54.2%
Happy	45.2%
Angry	45.1%
Confused	45.1%

Age	26-43
Gender	Female, 52.7%
Confused	45%
Angry	45.2%
Surprised	45.1%
Sad	45.1%
Disgusted	45.6%
Calm	53.9%
Happy	45.1%

Age	35-52
Gender	Male, 53.3%
Confused	45.1%
Sad	50.9%
Angry	45.4%
Disgusted	45.1%
Calm	45.5%
Surprised	45.1%
Happy	47.9%

Age	35-52
Gender	Female, 51.4%
Sad	53.4%
Happy	45.2%
Disgusted	45.6%
Calm	45.2%
Angry	45.5%
Confused	45.1%
Surprised	45%

Age	23-38
Gender	Female, 51.5%
Sad	48.8%
Surprised	45.1%
Calm	49.8%
Happy	45.6%
Disgusted	45.3%
Confused	45.1%
Angry	45.3%

Age	15-25
Gender	Female, 53.8%
Calm	46.1%
Happy	45.3%
Angry	45.7%
Sad	50.5%
Surprised	45.3%
Confused	45.1%
Disgusted	46.9%

Age	20-38
Gender	Female, 53.3%
Happy	45.1%
Surprised	45.2%
Angry	45.5%
Sad	51.3%
Confused	45.1%
Calm	47.6%
Disgusted	45.2%

Age	45-63
Gender	Male, 52.6%
Sad	52.9%
Disgusted	45%
Angry	45.4%
Surprised	45.1%
Calm	45.8%
Confused	45.2%
Happy	45.6%

Age	26-43
Gender	Male, 54.3%
Angry	45.2%
Surprised	45.1%
Confused	45.1%
Sad	46.2%
Disgusted	45.1%
Happy	45.1%
Calm	53.2%

Person	95.6%

Person	95.2%

Person	93%

Age	35-55
Gender	Female, 54.4%
Surprised	45.2%
Confused	45.1%
Happy	47.5%
Angry	45.6%
Calm	45.4%
Sad	45.5%
Disgusted	50.7%

Age	26-43
Gender	Female, 53%
Angry	45.5%
Calm	46.7%
Sad	51.2%
Confused	45.2%
Disgusted	45.7%
Happy	45.5%
Surprised	45.2%

Age	35-52
Gender	Female, 54.8%
Angry	45.3%
Happy	45%
Disgusted	54.2%
Surprised	45.2%
Calm	45.2%
Confused	45%
Sad	45.1%

Age	4-9
Gender	Female, 50.8%
Happy	45.1%
Calm	45%
Confused	45%
Disgusted	45.1%
Surprised	45%
Angry	45.3%
Sad	54.4%

Age	26-43
Gender	Female, 52.5%
Confused	45.2%
Disgusted	49.9%
Sad	45.5%
Surprised	45.5%
Calm	46.9%
Happy	45.5%
Angry	46.6%

Age	29-45
Gender	Female, 53.5%
Sad	45.2%
Angry	45.2%
Calm	45.1%
Happy	54.3%
Disgusted	45.1%
Confused	45%
Surprised	45.1%

Age	45-65
Gender	Female, 51.6%
Sad	51.3%
Angry	47.8%
Calm	45.3%
Confused	45.2%
Happy	45.1%
Surprised	45.1%
Disgusted	45.2%

Age	26-43
Gender	Female, 55%
Surprised	45.2%
Sad	45.7%
Happy	45.4%
Disgusted	45.5%
Confused	45.3%
Calm	52.4%
Angry	45.5%

Age	26-44
Gender	Female, 51.7%
Angry	53.3%
Calm	45%
Sad	45.9%
Confused	45.1%
Disgusted	45.5%
Happy	45%
Surprised	45.1%

Age	4-9
Gender	Male, 50.4%
Calm	47.5%
Confused	45.4%
Happy	45.4%
Sad	50.6%
Surprised	45.3%
Disgusted	45.3%
Angry	45.6%

Human Generated Data

Title

Social Settlements: Great Britain, England. London. "Bermondsey Settlement": Bermondsey Settlement, London, Eng.: Nurses' patients on a summer outing

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2688.2

Human Generated Data

Title

Social Settlements: Great Britain, England. London. "Bermondsey Settlement": Bermondsey Settlement, London, Eng.: Nurses' patients on a summer outing

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2688.2

Machine Generated Data

Tags

Amazoncreated on 2019-06-05

Clarifaicreated on 2019-06-05

Imaggacreated on 2019-06-05

Googlecreated on 2019-06-05

Microsoftcreated on 2019-06-05

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

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-05

Clarifaicreated by general-english-image-caption-blip on 2025-05-16

Amazon
created on 2019-06-05

Clarifai
created on 2019-06-05

Imagga
created on 2019-06-05

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

Microsoft
created on 2019-06-05

Clarifai
created by general-english-image-caption-blip on 2025-05-16

Age	30-47
Gender	Female, 54.8%
Happy	54.5%
Disgusted	45.2%
Confused	45%
Angry	45.1%
Surprised	45%
Sad	45%
Calm	45.1%

Age	48-68
Gender	Female, 54.4%
Sad	45.3%
Confused	45%
Angry	45%
Happy	54.5%
Calm	45.1%
Surprised	45%
Disgusted	45%

Age	4-9
Gender	Female, 53.7%
Disgusted	45.4%
Happy	45.2%
Sad	53.4%
Angry	45.3%
Calm	45.4%
Confused	45.1%
Surprised	45.2%

Age	35-52
Gender	Male, 54.1%
Calm	47.4%
Disgusted	45.3%
Confused	46%
Happy	49.2%
Angry	45.5%
Surprised	45.2%
Sad	46.4%

Age	45-63
Gender	Female, 53.9%
Confused	45.1%
Calm	51.1%
Disgusted	47.2%
Happy	45.3%
Angry	45.6%
Sad	45.5%
Surprised	45.2%

Age	12-22
Gender	Female, 54.9%
Calm	46.8%
Disgusted	45.3%
Confused	45.4%
Happy	47.7%
Angry	45.6%
Surprised	45.8%
Sad	48.3%

Age	26-43
Gender	Female, 50.6%
Confused	45.1%
Disgusted	45.3%
Happy	46.1%
Calm	46.3%
Surprised	45.1%
Sad	51.8%
Angry	45.3%