AI Data for Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: In the Country for a Day. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	20-38
Gender	Male, 53.9%
Calm	54.6%
Disgusted	45%
Angry	45.1%
Happy	45%
Sad	45.2%
Surprised	45.1%
Confused	45%

AWS Rekognition

Age	38-59
Gender	Male, 50.8%
Angry	46.2%
Confused	45.3%
Calm	47.3%
Surprised	45.3%
Sad	49.3%
Happy	46.2%
Disgusted	45.4%

AWS Rekognition

Age	26-43
Gender	Female, 52.6%
Sad	54.8%
Confused	45%
Calm	45%
Disgusted	45%
Angry	45.1%
Surprised	45%
Happy	45%

AWS Rekognition

Age	26-43
Gender	Male, 53.4%
Angry	45.8%
Happy	45.5%
Calm	50.1%
Confused	45.5%
Sad	46.2%
Disgusted	46.3%
Surprised	45.5%

AWS Rekognition

Age	26-43
Gender	Female, 52%
Angry	45.6%
Calm	45.3%
Sad	48.3%
Surprised	45.4%
Disgusted	45.3%
Happy	49.7%
Confused	45.3%

AWS Rekognition

Age	11-18
Gender	Male, 54.3%
Calm	49%
Disgusted	45.7%
Surprised	45.3%
Angry	45.9%
Sad	47.1%
Confused	46.4%
Happy	45.5%

AWS Rekognition

Age	23-38
Gender	Female, 50.4%
Calm	49.5%
Sad	50.5%
Confused	49.5%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	45-66
Gender	Male, 50.3%
Confused	49.5%
Disgusted	49.6%
Surprised	49.5%
Sad	50.2%
Angry	49.6%
Happy	49.6%
Calm	49.6%

AWS Rekognition

Age	4-9
Gender	Female, 50.3%
Angry	49.6%
Calm	49.5%
Disgusted	49.5%
Surprised	49.5%
Sad	50.1%
Happy	49.8%
Confused	49.5%

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Angry	49.5%
Calm	49.6%
Surprised	49.5%
Sad	50.1%
Disgusted	49.5%
Happy	49.7%
Confused	49.5%

AWS Rekognition

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

AWS Rekognition

Age	35-55
Gender	Female, 50.2%
Calm	49.5%
Surprised	49.5%
Happy	49.5%
Disgusted	49.5%
Angry	49.8%
Sad	50.1%
Confused	49.5%

AWS Rekognition

Age	29-45
Gender	Female, 50.1%
Happy	49.8%
Sad	49.6%
Angry	49.7%
Surprised	49.5%
Calm	49.6%
Confused	49.5%
Disgusted	49.8%

AWS Rekognition

Age	29-45
Gender	Male, 50.4%
Happy	49.5%
Disgusted	50%
Angry	49.5%
Confused	49.5%
Calm	49.5%
Surprised	49.5%
Sad	49.8%

AWS Rekognition

Age	26-43
Gender	Male, 50.5%
Angry	49.5%
Disgusted	49.5%
Calm	50.3%
Surprised	49.5%
Happy	49.5%
Sad	49.6%
Confused	49.5%

AWS Rekognition

Age	26-44
Gender	Male, 52.1%
Sad	45.2%
Angry	45.4%
Disgusted	53.4%
Surprised	45.1%
Happy	45.2%
Calm	45.2%
Confused	45.4%

AWS Rekognition

Age	26-43
Gender	Female, 50.3%
Calm	49.5%
Confused	49.5%
Happy	49.5%
Surprised	49.5%
Angry	49.6%
Disgusted	49.8%
Sad	50.1%

AWS Rekognition

Age	30-47
Gender	Male, 53.6%
Sad	47.3%
Calm	46%
Happy	45.1%
Surprised	45.1%
Angry	47.6%
Disgusted	48.5%
Confused	45.3%

AWS Rekognition

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

AWS Rekognition

Age	35-55
Gender	Female, 54.7%
Surprised	45%
Disgusted	45%
Angry	45.1%
Sad	54.2%
Happy	45.6%
Confused	45%
Calm	45%

AWS Rekognition

Age	45-66
Gender	Female, 50.1%
Sad	49.5%
Disgusted	49.5%
Surprised	49.5%
Happy	50.5%
Confused	49.5%
Calm	49.5%
Angry	49.5%

AWS Rekognition

Age	45-65
Gender	Female, 50.5%
Calm	49.5%
Disgusted	49.5%
Angry	49.5%
Happy	50.2%
Sad	49.8%
Surprised	49.5%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Calm	49.6%
Disgusted	49.6%
Angry	49.7%
Happy	49.8%
Sad	49.7%
Surprised	49.5%
Confused	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.2%
Disgusted	49.5%
Surprised	49.5%
Sad	50.4%
Angry	49.5%
Happy	49.5%
Confused	49.5%
Calm	49.5%

AWS Rekognition

Age	57-77
Gender	Male, 50.4%
Calm	49.7%
Disgusted	49.5%
Happy	49.5%
Confused	49.6%
Surprised	49.5%
Sad	50%
Angry	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.3%
Confused	49.5%
Disgusted	49.7%
Sad	49.7%
Angry	49.7%
Surprised	49.6%
Happy	49.5%
Calm	49.7%

AWS Rekognition

Age	4-7
Gender	Female, 54.6%
Sad	54%
Angry	45.3%
Happy	45.1%
Disgusted	45.3%
Calm	45.1%
Surprised	45.1%
Confused	45.1%

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Female, 50.5%
Disgusted	50.2%
Happy	49.6%
Angry	49.6%
Surprised	49.5%
Sad	49.7%
Confused	49.5%
Calm	49.5%

AWS Rekognition

Age	30-47
Gender	Female, 50.4%
Sad	50%
Disgusted	49.5%
Calm	49.5%
Confused	49.5%
Happy	49.9%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

Age	27-44
Gender	Male, 50.2%
Sad	49.6%
Confused	49.5%
Calm	50%
Disgusted	49.7%
Angry	49.6%
Surprised	49.5%
Happy	49.6%

AWS Rekognition

Age	10-15
Gender	Female, 51.4%
Confused	45.9%
Surprised	45.4%
Angry	45.9%
Happy	48.1%
Sad	46.5%
Calm	45.8%
Disgusted	47.5%

AWS Rekognition

Age	12-22
Gender	Female, 50.5%
Sad	50%
Angry	49.5%
Happy	49.8%
Disgusted	49.5%
Calm	49.5%
Surprised	49.5%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.9%
Happy	45.1%
Sad	46.3%
Angry	52.9%
Surprised	45.1%
Calm	45.2%
Confused	45.2%
Disgusted	45.3%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Sad	50%
Happy	49.7%
Surprised	49.5%
Disgusted	49.6%
Confused	49.5%
Calm	49.6%
Angry	49.6%

AWS Rekognition

Age	23-38
Gender	Male, 51.7%
Happy	45.6%
Sad	53.1%
Confused	45.2%
Calm	45.1%
Angry	45.6%
Disgusted	45.3%
Surprised	45.2%

AWS Rekognition

Age	23-38
Gender	Male, 50.4%
Surprised	49.5%
Angry	49.8%
Sad	50.1%
Happy	49.5%
Disgusted	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Surprised	49.5%
Sad	49.6%
Disgusted	49.8%
Calm	49.6%
Happy	49.8%
Angry	49.5%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Angry	49.8%
Confused	49.5%
Calm	49.6%
Disgusted	49.6%
Happy	49.6%
Surprised	49.5%
Sad	49.9%

AWS Rekognition

Age	35-55
Gender	Male, 50%
Sad	49.6%
Angry	49.5%
Calm	49.5%
Confused	49.5%
Happy	50.3%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Surprised	49.5%
Disgusted	49.7%
Angry	49.5%
Sad	50.1%
Happy	49.6%
Confused	49.5%
Calm	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.5%
Sad	50.3%
Disgusted	49.5%
Surprised	49.5%
Happy	49.6%
Confused	49.5%
Calm	49.5%
Angry	49.5%

AWS Rekognition

Age	26-44
Gender	Female, 50.1%
Disgusted	49.5%
Confused	49.5%
Happy	49.6%
Sad	50.2%
Surprised	49.5%
Calm	49.6%
Angry	49.6%

AWS Rekognition

Age	20-38
Gender	Female, 50.4%
Angry	49.6%
Calm	49.5%
Disgusted	49.5%
Surprised	49.5%
Sad	50.3%
Happy	49.5%
Confused	49.5%

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Sad	50%
Angry	49.6%
Confused	49.5%
Happy	49.6%
Disgusted	49.7%
Surprised	49.5%
Calm	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.5%
Happy	49.6%
Sad	50.4%
Disgusted	49.5%
Calm	49.5%
Surprised	49.5%
Confused	49.5%
Angry	49.5%

AWS Rekognition

Age	29-45
Gender	Female, 50.5%
Angry	49.5%
Sad	50%
Disgusted	49.6%
Calm	49.5%
Surprised	49.5%
Confused	49.5%
Happy	49.8%

AWS Rekognition

Age	23-38
Gender	Female, 50.1%
Calm	49.5%
Happy	49.5%
Sad	50.5%
Angry	49.5%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Angry	49.5%
Calm	49.5%
Disgusted	49.5%
Surprised	49.5%
Sad	50.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	19-36
Gender	Female, 50.5%
Happy	49.7%
Sad	49.6%
Disgusted	49.8%
Calm	49.6%
Surprised	49.6%
Confused	49.6%
Angry	49.7%

AWS Rekognition

Age	23-38
Gender	Female, 50.2%
Surprised	49.5%
Disgusted	49.5%
Sad	50.4%
Calm	49.5%
Confused	49.5%
Angry	49.6%
Happy	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Female, 52.2%
Calm	52.3%
Sad	46.2%
Happy	45.3%
Confused	45.2%
Angry	45.3%
Surprised	45.3%
Disgusted	45.3%

AWS Rekognition

Age	57-77
Gender	Female, 50.1%
Angry	49.5%
Confused	49.5%
Calm	49.5%
Disgusted	49.5%
Happy	49.6%
Surprised	49.5%
Sad	50.4%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	29-45
Gender	Female, 50.3%
Confused	49.5%
Calm	49.5%
Disgusted	49.5%
Sad	49.6%
Happy	50.3%
Angry	49.6%
Surprised	49.5%

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Surprised	49.5%
Calm	49.8%
Happy	49.5%
Angry	49.6%
Sad	49.5%
Disgusted	50.1%
Confused	49.5%

AWS Rekognition

Age	45-66
Gender	Male, 50%
Calm	49.5%
Happy	49.6%
Sad	50.1%
Angry	49.7%
Disgusted	49.6%
Confused	49.5%
Surprised	49.5%

AWS Rekognition

Age	48-68
Gender	Female, 50.3%
Confused	49.6%
Happy	49.6%
Surprised	49.5%
Calm	49.8%
Angry	49.5%
Sad	49.8%
Disgusted	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.4%
Sad	49.6%
Angry	50%
Confused	49.5%
Happy	49.5%
Disgusted	49.6%
Surprised	49.5%
Calm	49.7%

Feature analysis

Amazon

Person	99.2%

Captions

Microsoft
created on 2019-06-06

a group of people posing for a photo	96.7%

a group of people posing for the camera	96.6%

a group of people posing for a picture	96.5%

Text analysis

Amazon

for

Doy

Country

the

In the Country for c Doy

stris

Google

Dey. In the Country for a

Dey.

the

Country

for

Title Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: In the Country for a Day.	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, 3.2002.3154.4

people	100

group	99.8

many	99.6

group together	96.1

adult	95.8

leader	95.7

child	94.7

crowd	90.3

administration	90

man	89.9

wear	88.8

portrait	87.1

education	84.9

several	84.3

woman	82.6

military	82.4

music	82.4

retro	80.8

school	80.5

boy	79.4

kin	87.5

people	20.6

man	19.5

portrait	17.5

old	17.4

daily	17.2

face	15.6

child	14.9

vintage	14.9

newspaper	14.3

statue	14.3

family	14.2

male	14.2

money	13.6

person	13.3

mother	13.1

ancient	13

business	12.7

currency	12.6

cash	11.9

father	11.7

product	11.1

adult	11.1

parent	11.1

art	10.6

sculpture	10.5

love	10.3

head	10.1

dress	9.9

marble	9.7

stamp	9.7

mail	9.6

antique	9.5

symbol	9.4

happiness	9.4

creation	9.4

culture	9.4

dollar	9.3

aged	9

room	9

retro	9

religion	9

lady	8.9

postmark	8.9

bride	8.6

paper	8.6

dad	8.6

grunge	8.5

finance	8.4

world	8.3

happy	8.1

bank	8.1

financial	8

close	8

philately	7.9

circa	7.9

boy	7.8

sepia	7.8

card	7.6

human	7.5

savings	7.5

closeup	7.4

wedding	7.4

banking	7.3

letter	7.3

decoration	7.3

success	7.2

team	7.2

history	7.2

hair	7.1

smile	7.1

envelope	7.1

daughter	7.1

businessman	7.1

Photograph	97.6

People	95.7

Social group	90.3

Snapshot	88.7

Photography	67.8

Class	65.6

Family	65.3

Family reunion	53.6

Team	52.3

Paper product	50.3

posing	99.5

person	99.4

clothing	96.1

smile	95.6

human face	92.8

handwriting	89.5

old	89.3

group	88.6

woman	88.1

team	82.3

man	66.4

crowd	5.5

Person	99.2

Human	99.2

Person	98.7

Person	98.2

Person	98.1

Person	98.1

Person	97.1

Person	96.8

Person	96.5

Person	96.2

Person	95.3

Person	93

People	88.8

Person	86.3

Person	85.7

Person	83.5

Text	77.6

Kindergarten	75.5

Person	75.3

Person	71.6

Person	71.3

Person	68.8

Person	61.9

Person	52.4

Person	43.9

Person	42.1

pets animals	47.4%

people portraits	24.7%

paintings art	15.3%

streetview architecture	3.7%

nature landscape	2.8%

food drinks	1.9%

interior objects	1.6%

events parties	1.3%

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: In the Country for a Day.

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, 3.2002.3154.4

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: In the Country for a Day.

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, 3.2002.3154.4

Machine Generated Data

Tags

Amazoncreated on 2019-06-06

Clarifaicreated on 2019-06-06

Imaggacreated on 2019-06-06

Googlecreated on 2019-06-06

Microsoftcreated on 2019-06-06

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 2019-06-06

Clarifai
created on 2019-06-06

Imagga
created on 2019-06-06

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

Microsoft
created on 2019-06-06