AI Data for Social Settlements: Great Britain, Wales. Cardiff. "University Settlement": University Settlement in Cardiff, Cardiff, Wales.: Womens Club. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	9-14
Gender	Female, 50.3%
Calm	49.5%
Angry	49.6%
Happy	49.5%
Confused	49.5%
Surprised	49.5%
Disgusted	49.5%
Sad	50.4%

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Calm	49.5%
Sad	50.3%
Surprised	49.5%
Disgusted	49.6%
Angry	49.6%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Calm	49.9%
Angry	49.6%
Happy	49.6%
Surprised	49.6%
Confused	49.5%
Disgusted	49.6%
Sad	49.7%

AWS Rekognition

Age	26-43
Gender	Male, 50.2%
Calm	49.5%
Angry	49.8%
Happy	49.8%
Confused	49.5%
Surprised	49.6%
Disgusted	49.6%
Sad	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Happy	49.8%
Angry	49.6%
Calm	49.6%
Confused	49.5%
Disgusted	49.8%
Surprised	49.5%
Sad	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Disgusted	49.6%
Surprised	49.6%
Happy	49.6%
Calm	49.6%
Angry	49.6%
Confused	49.6%
Sad	49.9%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Surprised	49.5%
Happy	49.5%
Sad	50.1%
Angry	49.6%
Disgusted	49.7%
Calm	49.5%
Confused	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Disgusted	49.6%
Sad	49.9%
Calm	49.5%
Confused	49.5%
Happy	49.6%
Surprised	49.5%
Angry	49.8%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Sad	49.6%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%
Calm	50.3%
Angry	49.6%
Surprised	49.5%

AWS Rekognition

Age	23-38
Gender	Female, 50%
Confused	49.5%
Sad	50.1%
Happy	49.5%
Surprised	49.5%
Disgusted	49.6%
Calm	49.6%
Angry	49.7%

AWS Rekognition

Age	20-38
Gender	Male, 50.5%
Disgusted	49.6%
Confused	49.5%
Calm	50%
Angry	49.5%
Happy	49.7%
Sad	49.6%
Surprised	49.5%

AWS Rekognition

Age	14-25
Gender	Male, 50.1%
Calm	49.6%
Disgusted	49.5%
Confused	49.5%
Happy	49.7%
Angry	49.8%
Sad	49.7%
Surprised	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Confused	49.6%
Calm	50%
Angry	49.6%
Surprised	49.5%
Sad	49.6%
Happy	49.7%
Disgusted	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.5%
Calm	49.5%
Sad	49.9%
Surprised	49.5%
Disgusted	49.7%
Happy	49.8%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	38-59
Gender	Male, 50.3%
Surprised	49.5%
Happy	49.7%
Calm	50.3%
Sad	49.5%
Disgusted	49.5%
Confused	49.5%
Angry	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.1%
Calm	49.6%
Sad	50.3%
Surprised	49.5%
Disgusted	49.5%
Angry	49.6%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	27-44
Gender	Female, 50.4%
Sad	49.7%
Confused	49.6%
Angry	49.7%
Calm	49.6%
Surprised	49.7%
Happy	49.6%
Disgusted	49.6%

AWS Rekognition

Age	23-38
Gender	Male, 50.4%
Surprised	49.6%
Sad	49.6%
Happy	49.6%
Confused	49.5%
Calm	50.1%
Angry	49.5%
Disgusted	49.5%

AWS Rekognition

Age	30-47
Gender	Female, 50.1%
Happy	49.6%
Sad	49.6%
Disgusted	49.6%
Angry	50.1%
Surprised	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

Age	30-47
Gender	Female, 50.4%
Calm	49.7%
Surprised	49.6%
Confused	49.5%
Sad	49.6%
Angry	49.5%
Disgusted	49.5%
Happy	50%

AWS Rekognition

Age	26-43
Gender	Male, 50%
Angry	49.5%
Surprised	49.5%
Sad	49.6%
Disgusted	49.7%
Confused	49.5%
Happy	50%
Calm	49.6%

AWS Rekognition

Age	20-38
Gender	Male, 50.3%
Angry	49.6%
Sad	49.9%
Calm	49.7%
Surprised	49.5%
Confused	49.5%
Disgusted	49.6%
Happy	49.7%

AWS Rekognition

Age	35-53
Gender	Female, 50.4%
Happy	50.2%
Disgusted	49.5%
Surprised	49.5%
Angry	49.5%
Sad	49.7%
Confused	49.5%
Calm	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Sad	49.8%
Disgusted	49.8%
Angry	49.6%
Surprised	49.5%
Calm	49.6%
Confused	49.5%
Happy	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.3%
Surprised	49.5%
Happy	49.7%
Calm	49.9%
Disgusted	49.5%
Confused	49.5%
Sad	49.6%
Angry	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Calm	49.6%
Sad	49.6%
Disgusted	49.5%
Surprised	49.5%
Confused	49.5%
Happy	50.2%
Angry	49.6%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Surprised	49.5%
Happy	49.6%
Disgusted	49.5%
Calm	49.5%
Sad	49.6%
Angry	50.2%
Confused	49.5%

AWS Rekognition

Age	29-45
Gender	Female, 50.2%
Surprised	49.5%
Sad	50%
Happy	49.5%
Confused	49.6%
Calm	49.6%
Angry	49.7%
Disgusted	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Disgusted	49.5%
Sad	49.9%
Calm	49.9%
Confused	49.5%
Happy	49.5%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.5%
Calm	49.5%
Angry	49.8%
Sad	49.9%
Happy	49.7%
Confused	49.5%
Surprised	49.5%
Disgusted	49.6%

AWS Rekognition

Age	20-38
Gender	Female, 50.5%
Disgusted	49.5%
Confused	49.5%
Sad	49.6%
Angry	49.6%
Happy	50.1%
Surprised	49.6%
Calm	49.5%

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Male, 50.2%
Sad	50.3%
Calm	49.5%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Confused	49.5%
Happy	49.5%

AWS Rekognition

Age	26-44
Gender	Male, 50.1%
Happy	49.6%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%
Sad	49.9%
Angry	49.6%
Calm	49.9%

AWS Rekognition

Age	38-57
Gender	Female, 50.4%
Calm	49.7%
Disgusted	49.7%
Confused	49.5%
Happy	49.6%
Angry	49.8%
Sad	49.6%
Surprised	49.5%

AWS Rekognition

Age	38-57
Gender	Female, 50.1%
Calm	50%
Confused	49.5%
Disgusted	49.6%
Angry	49.8%
Happy	49.6%
Surprised	49.5%
Sad	49.6%

AWS Rekognition

Age	10-15
Gender	Female, 50.4%
Calm	49.5%
Surprised	49.5%
Disgusted	49.5%
Angry	49.5%
Happy	49.6%
Sad	50.3%
Confused	49.5%

AWS Rekognition

Age	45-63
Gender	Female, 50.3%
Angry	49.6%
Happy	50%
Calm	49.6%
Confused	49.5%
Sad	49.7%
Disgusted	49.5%
Surprised	49.6%

AWS Rekognition

Age	16-27
Gender	Female, 50.4%
Calm	49.6%
Sad	49.6%
Angry	49.7%
Surprised	49.6%
Disgusted	49.8%
Confused	49.5%
Happy	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.5%
Angry	49.6%
Surprised	49.5%
Happy	49.5%
Disgusted	49.6%
Sad	49.8%
Confused	49.6%
Calm	50%

AWS Rekognition

Age	17-27
Gender	Female, 50.4%
Happy	49.6%
Sad	50%
Surprised	49.5%
Angry	49.6%
Calm	49.8%
Disgusted	49.6%
Confused	49.5%

AWS Rekognition

Age	26-44
Gender	Female, 50.5%
Calm	49.6%
Confused	49.6%
Disgusted	49.8%
Happy	49.6%
Angry	49.6%
Sad	49.8%
Surprised	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Disgusted	49.5%
Confused	49.6%
Happy	49.5%
Calm	50.2%
Surprised	49.6%
Sad	49.6%
Angry	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Sad	49.7%
Angry	49.7%
Happy	49.9%
Surprised	49.6%
Confused	49.5%
Calm	49.6%
Disgusted	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50%
Surprised	49.6%
Confused	49.6%
Angry	49.7%
Happy	49.5%
Disgusted	49.7%
Sad	49.8%
Calm	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50%
Sad	49.8%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Confused	49.5%
Calm	50%
Angry	49.6%

AWS Rekognition

Age	20-38
Gender	Female, 50.5%
Calm	49.5%
Surprised	49.6%
Happy	50.3%
Disgusted	49.5%
Angry	49.5%
Sad	49.6%
Confused	49.5%

AWS Rekognition

Age	45-63
Gender	Female, 50.3%
Calm	49.6%
Angry	49.6%
Happy	49.7%
Confused	49.5%
Surprised	49.5%
Disgusted	49.6%
Sad	49.9%

AWS Rekognition

Age	15-25
Gender	Male, 50.4%
Sad	49.9%
Disgusted	49.5%
Happy	49.6%
Surprised	49.5%
Angry	49.6%
Calm	49.8%
Confused	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.5%
Surprised	49.6%
Sad	49.6%
Calm	49.8%
Confused	49.6%
Disgusted	49.5%
Happy	49.9%
Angry	49.5%

AWS Rekognition

Age	4-7
Gender	Female, 50.2%
Calm	49.6%
Disgusted	49.8%
Surprised	49.6%
Confused	49.6%
Angry	49.6%
Sad	49.8%
Happy	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.2%
Surprised	49.6%
Happy	49.7%
Calm	49.6%
Sad	49.8%
Disgusted	49.6%
Confused	49.6%
Angry	49.6%

AWS Rekognition

Age	20-38
Gender	Female, 50.2%
Angry	49.5%
Disgusted	49.5%
Sad	50.2%
Happy	49.5%
Confused	49.6%
Surprised	49.5%
Calm	49.5%

AWS Rekognition

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

AWS Rekognition

Age	4-9
Gender	Female, 50.1%
Surprised	49.5%
Disgusted	49.6%
Calm	49.5%
Confused	49.5%
Angry	49.5%
Sad	50.2%
Happy	49.6%

AWS Rekognition

Age	9-14
Gender	Female, 50%
Happy	49.6%
Angry	49.7%
Calm	50%
Sad	49.6%
Surprised	49.6%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	17-27
Gender	Female, 50.4%
Angry	49.5%
Calm	49.5%
Disgusted	49.5%
Happy	50.1%
Confused	49.5%
Sad	49.8%
Surprised	49.5%

AWS Rekognition

Age	23-38
Gender	Female, 50%
Angry	49.5%
Sad	49.6%
Happy	49.5%
Disgusted	49.5%
Calm	50.3%
Surprised	49.5%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Sad	49.7%
Happy	49.6%
Confused	49.7%
Disgusted	49.5%
Calm	49.9%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Calm	49.5%
Angry	49.5%
Happy	50.3%
Sad	49.5%
Surprised	49.5%
Confused	49.5%
Disgusted	49.6%

AWS Rekognition

Age	48-68
Gender	Female, 50.5%
Disgusted	49.5%
Surprised	49.6%
Happy	49.6%
Calm	49.6%
Angry	49.5%
Confused	49.6%
Sad	50.1%

Feature analysis

Amazon

Person	99.6%

Captions

Microsoft
created on 2019-06-05

a group of people posing for a photo in front of a building	97.6%

a group of people posing for a photo in front of an old building	96.9%

a group of people posing for a photo	96.8%

Title Social Settlements: Great Britain, Wales. Cardiff. "University Settlement": University Settlement in Cardiff, Cardiff, Wales.: Womens Club.	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, 3.2002.2729.1

Human	99.6

Person	99.6

Person	98.9

Person	98.2

Person	97.6

Person	93.2

Person	93.2

People	90.6

Person	90.3

Person	89.7

Person	89.3

Person	86.8

Person	86.4

Person	84

Person	83.1

Person	81.9

Indoors	80.6

Room	80.6

Person	78.4

Person	76.8

Person	72.9

Outdoors	72.9

Person	72.8

Person	72.3

Person	71.6

Person	71.5

Person	70.6

Nature	68.8

Building	67.6

Person	65.5

Countryside	64.2

Person	61.1

Hut	60.2

Rural	60.2

Person	60

Steamer	57.7

Person	56.1

Shack	55.1

Person	54.6

Person	49.2

Person	47.7

people	100

group	99.6

many	99.4

group together	98.1

child	97.8

adult	97.4

man	93.1

wear	91.9

woman	90.3

crowd	89.1

education	87.6

boy	86.4

administration	86.2

several	85.1

retro	84.5

uniform	83.9

spectator	83.3

leader	82.8

school	82.5

recreation	82.1

kin	32.8

grunge	25.5

old	23.7

graffito	19.2

texture	18.7

decoration	18.5

people	17.8

vintage	17.4

paint	17.2

wall	16.4

graphic	16

art	15.4

aged	15.4

black	15.1

retro	14.7

antique	14.7

pattern	14.4

frame	14.1

group	13.7

border	13.6

grungy	13.3

man	12.9

world	12.4

silhouette	12.4

person	11.9

building	11.9

design	11.8

ancient	11.2

classroom	11.1

room	11.1

paper	11

dirty	10.8

canvas	10.4

space	10.1

material	9.8

detail	9.6

text	9.6

weathered	9.5

structure	9.4

male	9.2

crowd	8.6

men	8.6

rusty	8.6

outdoor	8.4

outdoors	8.3

women	7.9

adult	7.9

edge	7.7

aging	7.7

winter	7.7

damaged	7.6

walking	7.6

child	7.4

rough	7.3

portrait	7.1

businessman	7.1

creative	7.1

travel	7

sport	7

Photograph	95

Social group	90.5

Team	52.3

building	99.9

outdoor	97.1

clothing	96.9

old	93.6

posing	90.2

person	87.5

group	81

paintings art	77%

people portraits	10.1%

pets animals	4.1%

streetview architecture	4%

nature landscape	1.2%

beaches seaside	1.2%

Human Generated Data

Title

Social Settlements: Great Britain, Wales. Cardiff. "University Settlement": University Settlement in Cardiff, Cardiff, Wales.: Womens Club.

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, 3.2002.2729.1

Human Generated Data

Title

Social Settlements: Great Britain, Wales. Cardiff. "University Settlement": University Settlement in Cardiff, Cardiff, Wales.: Womens Club.

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, 3.2002.2729.1

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

AWS Rekognition

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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