AI Data for Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.: A Boys Club. | AI Explorer

AWS Rekognition

Age	20-38
Gender	Male, 50.4%
Angry	45.6%
Surprised	45.2%
Confused	45.2%
Sad	51.7%
Disgusted	45.1%
Happy	45.1%
Calm	47.2%

AWS Rekognition

Age	14-25
Gender	Male, 54.3%
Sad	48.6%
Confused	45.4%
Calm	49.4%
Disgusted	45.2%
Happy	45.1%
Angry	45.9%
Surprised	45.4%

AWS Rekognition

Age	35-52
Gender	Male, 52.5%
Surprised	45.1%
Calm	45.1%
Happy	45%
Sad	53.8%
Confused	45.3%
Angry	45.5%
Disgusted	45.1%

AWS Rekognition

Age	20-38
Gender	Male, 53.3%
Disgusted	45.2%
Happy	45.2%
Surprised	45.7%
Angry	46%
Confused	45.4%
Calm	51.1%
Sad	46.5%

AWS Rekognition

Age	35-53
Gender	Female, 50.7%
Disgusted	45.2%
Surprised	45.2%
Angry	45.3%
Confused	45.2%
Sad	47.3%
Calm	51.7%
Happy	45.2%

AWS Rekognition

Age	17-27
Gender	Male, 51.2%
Sad	51.5%
Disgusted	45.3%
Confused	45.4%
Surprised	45.3%
Calm	47%
Happy	45.2%
Angry	45.4%

AWS Rekognition

Age	6-13
Gender	Female, 50.4%
Sad	52.9%
Surprised	45.2%
Disgusted	45.1%
Calm	46%
Happy	45%
Confused	45.2%
Angry	45.6%

AWS Rekognition

Age	45-63
Gender	Female, 50.8%
Surprised	45.1%
Confused	45.1%
Sad	52.5%
Disgusted	45.1%
Calm	46.8%
Angry	45.1%
Happy	45.3%

AWS Rekognition

Age	20-38
Gender	Female, 54.4%
Confused	45.3%
Happy	45.6%
Angry	45.4%
Sad	51.6%
Calm	46%
Disgusted	45.7%
Surprised	45.3%

AWS Rekognition

Age	14-25
Gender	Female, 53.9%
Disgusted	45.3%
Confused	45.6%
Angry	45.7%
Sad	49.3%
Surprised	46.2%
Happy	45.1%
Calm	47.8%

AWS Rekognition

Age	23-38
Gender	Male, 54%
Sad	46.5%
Surprised	45.5%
Angry	47.6%
Disgusted	45.8%
Confused	45.3%
Happy	45.3%
Calm	49%

AWS Rekognition

Age	15-25
Gender	Male, 53.5%
Surprised	45.2%
Calm	50.4%
Happy	46.5%
Sad	47.3%
Angry	45.3%
Confused	45.2%
Disgusted	45.2%

AWS Rekognition

Age	4-9
Gender	Female, 50.6%
Sad	45.8%
Disgusted	45.2%
Calm	53.3%
Confused	45.1%
Angry	45.3%
Surprised	45.2%
Happy	45.1%

AWS Rekognition

Age	26-43
Gender	Male, 51.4%
Confused	45.2%
Disgusted	45.3%
Calm	46.4%
Angry	45.3%
Happy	45.1%
Surprised	45.1%
Sad	52.6%

AWS Rekognition

Age	15-25
Gender	Female, 51.8%
Sad	46.1%
Angry	47.9%
Happy	45.3%
Confused	45.4%
Surprised	45.7%
Disgusted	45.9%
Calm	48.6%

AWS Rekognition

Age	26-43
Gender	Male, 52.4%
Confused	45.1%
Disgusted	45.1%
Happy	45.2%
Calm	52.5%
Surprised	45.1%
Sad	46.6%
Angry	45.3%

AWS Rekognition

Age	35-52
Gender	Female, 50.6%
Sad	48.8%
Surprised	45.6%
Disgusted	45.3%
Calm	46.7%
Happy	47.9%
Confused	45.4%
Angry	45.4%

AWS Rekognition

Age	15-25
Gender	Female, 52.1%
Sad	53.4%
Calm	46.2%
Disgusted	45.1%
Happy	45.1%
Confused	45.1%
Angry	45.2%
Surprised	45.1%

AWS Rekognition

Age	9-14
Gender	Female, 50.6%
Disgusted	45.4%
Surprised	47.1%
Angry	45.8%
Confused	45.5%
Sad	47%
Calm	46.7%
Happy	47.4%

AWS Rekognition

Age	20-38
Gender	Female, 54.4%
Disgusted	45.2%
Confused	45.2%
Happy	45.1%
Calm	45.7%
Surprised	45.2%
Sad	53.3%
Angry	45.3%

AWS Rekognition

Age	20-38
Gender	Male, 50.2%
Calm	47.5%
Angry	45.4%
Confused	45.2%
Sad	51.2%
Happy	45.2%
Disgusted	45.2%
Surprised	45.2%

AWS Rekognition

Age	26-43
Gender	Female, 50.7%
Happy	45.1%
Disgusted	45.2%
Confused	45.3%
Surprised	45.2%
Sad	51.7%
Angry	46.9%
Calm	45.6%

AWS Rekognition

Age	17-27
Gender	Female, 52.3%
Calm	46.1%
Sad	53%
Disgusted	45.2%
Happy	45.1%
Surprised	45.1%
Angry	45.3%
Confused	45.2%

AWS Rekognition

Age	15-25
Gender	Female, 53.1%
Surprised	46.2%
Disgusted	45.4%
Confused	46.2%
Sad	47.5%
Calm	47.6%
Happy	46.4%
Angry	45.8%

AWS Rekognition

Age	27-44
Gender	Male, 52.9%
Calm	45.7%
Surprised	45.5%
Disgusted	45.6%
Confused	45.5%
Sad	46.6%
Happy	50.7%
Angry	45.5%

AWS Rekognition

Age	26-43
Gender	Female, 54.3%
Happy	47.4%
Angry	45.5%
Calm	46.9%
Confused	45.4%
Surprised	45.6%
Disgusted	46.7%
Sad	47.5%

AWS Rekognition

Age	10-15
Gender	Female, 50.8%
Disgusted	45%
Sad	46.5%
Surprised	45.1%
Calm	52.5%
Happy	45.6%
Confused	45.2%
Angry	45.1%

AWS Rekognition

Age	26-43
Gender	Female, 52.3%
Disgusted	45.3%
Confused	45.1%
Happy	45.1%
Calm	51.8%
Surprised	45.2%
Sad	47.2%
Angry	45.3%

AWS Rekognition

Age	10-15
Gender	Male, 53%
Sad	46.6%
Surprised	45.7%
Confused	45.4%
Disgusted	45.5%
Happy	45.4%
Calm	50.8%
Angry	45.6%

Microsoft Cognitive Services

Age	27
Gender	Female

Microsoft Cognitive Services

Age	26
Gender	Male

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

Title Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.: A Boys 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, 3.2002.2882.3

Human	99.1

Person	99.1

Room	99

Classroom	99

Indoors	99

School	99

Person	99

Person	98.9

Person	98.5

Person	98.3

Person	97

Person	95.2

Person	94.6

Audience	92.3

Crowd	92.3

Person	81.1

Person	80

Clock Tower	79.5

Tower	79.5

Building	79.5

Architecture	79.5

Person	75

Accessory	70.7

Accessories	70.7

Tie	70.7

Tie	70.5

Person	68.8

Furniture	62.3

Speech	62

Waiting Room	57.6

Chair	55.7

Person	47.3

Person	43.7

people	99.9

many	99.6

group	99.2

child	98.2

education	97.9

school	97.3

group together	97.3

elementary school	95.4

adult	94.5

administration	93.8

teacher	93.6

woman	92.4

man	92.2

room	91.7

several	89

war	88.9

classroom	88.3

leader	86.8

wear	85

indoors	84.7

room	88.4

classroom	76.4

interior	37.1

table	26.5

home	25.5

chair	24.4

people	20.6

furniture	20.6

house	20

person	19.1

man	18.1

indoors	17.6

window	17.4

hall	16.6

modern	14.7

design	14.6

business	14.6

adult	14

luxury	13.7

male	13.5

architecture	13.3

service	13

indoor	12.8

restaurant	12.6

work	12.6

decor	12.4

lifestyle	12.3

office	12

glass	11.8

chairs	11.7

wood	11.7

floor	11.1

wall	10.6

women	10.3

3d	10.1

light	10

nurse	9.8

group	9.7

style	9.6

comfortable	9.5

living	9.5

desk	9.4

happy	9.4

student	9.3

dinner	9.3

inside	9.2

teacher	9.1

tables	8.9

hotel	8.6

life	8.4

horizontal	8.4

relaxation	8.4

metal	8

success	8

smiling	8

space	7.8

sofa	7.7

empty	7.7

couch	7.7

men	7.7

apartment	7.7

dining	7.6

blackboard	7.6

kitchen	7.2

shop	7.1

portrait	7.1

center	7.1

day	7.1

businessman	7.1

travel	7

Photograph	95.8

Social group	93

Snapshot	84.7

Team	72.7

History	72.6

Room	65.7

Family	62.7

Crew	56.9

Vintage clothing	52.1

clothing	96.7

group	95.5

person	92

smile	88.3

posing	81.7

standing	81.5

old	78

woman	72

human face	69.1

white	64.3

school	59.1

clock	58.3

a group of people posing for a photo	93.9%

a group of people posing for the camera	93.8%

a group of people posing for a picture	93.7%

Person	99.1%

Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.: A Boys 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, 3.2002.2882.3

Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Neighborhood House": Neighborhood House, Chicago, Ill.: A Boys 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, 3.2002.2882.3

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

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

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

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-05

Text analysis

Amazon

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