AI Data for Charity, Children: France. Argenteuil. Day Nursery: Social Conditions in French Cities: 1905: Day Nursery at Argenteuil, France. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	35-52
Gender	Female, 53.4%
Sad	45.9%
Confused	45.2%
Disgusted	45.9%
Calm	50.9%
Happy	46.6%
Angry	45.2%
Surprised	45.3%

Feature analysis

Amazon

Person

Painting

Ceiling Fan

Person	99.5%

Captions

Microsoft
created on 2019-06-07

a vintage photo of a group of people posing for the camera	92.2%

a vintage photo of a group of people posing for a picture	92.1%

a group of people posing for a photo	92%

Text analysis

Amazon

BIENFAITEURS

MEMBRES BIENFAITEURS

MEMBRES

20c

Google

BIENFAITEURS

WENRES

DONATEURS

20c

MEMBRES BIENFAITEURS WENRES HONDRAIRESe DONATEURS BERCEAU 20c

MEMBRES

HONDRAIRESe

BERCEAU

Title Charity, Children: France. Argenteuil. Day Nursery: Social Conditions in French Cities: 1905: Day Nursery at Argenteuil, France.	Date c. 1905
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, 3.2002.626.3

Human	99.5

Person	99.5

Person	99.3

Person	99.2

Person	99.2

Person	99.1

Person	98.6

Person	98.5

Person	97.3

Person	93.7

Room	92.8

Indoors	92.8

Person	89.9

People	89

Furniture	84.7

Person	79.8

Art	79.5

Painting	79.5

Person	69.9

Ceiling Fan	66.6

Appliance	66.6

School	63.7

Kindergarten	60.6

Classroom	58.9

Urban	55.7

Porch	55.5

Person	51

people	100

many	99.7

group	99.6

adult	98.4

group together	96.8

wear	96

child	94.8

leader	94.5

several	94.3

woman	92.4

administration	90.5

man	83.5

outfit	77.9

education	75.3

five	71.2

military	69

offspring	68.8

medical practitioner	67.2

furniture	67

veil	65.6

barbershop	43

shop	36.2

mercantile establishment	26.5

old	21.6

place of business	17.6

kin	16.8

room	15.2

people	14.5

person	14.3

man	14.1

male	13.5

vintage	13.2

art	13

sculpture	12.4

ancient	12.1

travel	12

building	11.7

men	11.2

decoration	11

sitting	10.3

wall	10.3

architecture	10.1

tourism	9.9

religion	9.9

history	9.8

family	9.8

portrait	9.7

statue	9.7

cemetery	9.7

antique	9.5

holiday	9.3

house	9.2

establishment	8.9

home	8.8

musical instrument	8.5

monument	8.4

window	8.2

retro	8.2

aged	8.1

dress	8.1

water	8

women	7.9

indoors	7.9

couple	7.8

old fashioned	7.6

happy	7.5

city	7.5

interior	7.1

Photograph	95.1

Room	76.5

Vintage clothing	70.8

Child	64.5

History	62.6

Family	61.6

clothing	98.4

person	98

old	91.1

child	77.5

human face	71.9

posing	64.7

woman	64

group	63.6

photograph	63.4

smile	60.5

team	35

Age	20-38
Gender	Female, 54.8%
Happy	45.6%
Angry	45.4%
Calm	46.3%
Sad	51.5%
Confused	45.2%
Disgusted	45.6%
Surprised	45.4%

Age	10-15
Gender	Female, 50.5%
Confused	45.6%
Calm	48%
Happy	45.5%
Disgusted	45.5%
Sad	49.5%
Angry	45.5%
Surprised	45.5%

Age	4-9
Gender	Male, 52.8%
Sad	54.5%
Calm	45.3%
Angry	45.1%
Disgusted	45.1%
Confused	45.1%
Surprised	45%
Happy	45%

Age	4-7
Gender	Female, 50.4%
Sad	49.3%
Surprised	47.4%
Calm	45.7%
Disgusted	45.2%
Confused	45.6%
Angry	46%
Happy	45.7%

Age	4-7
Gender	Female, 54.6%
Sad	53.8%
Calm	45.3%
Disgusted	45.2%
Confused	45.2%
Surprised	45.2%
Happy	45.1%
Angry	45.3%

Age	45-66
Gender	Male, 50.6%
Sad	46.4%
Confused	45.3%
Calm	51.3%
Angry	45.7%
Disgusted	45.3%
Happy	45.5%
Surprised	45.5%

Age	9-14
Gender	Female, 54.2%
Disgusted	45.3%
Surprised	45.4%
Angry	45.8%
Happy	45.7%
Sad	50.9%
Calm	46.6%
Confused	45.3%

Age	38-59
Gender	Male, 50.7%
Sad	47.1%
Surprised	45.6%
Disgusted	45.5%
Calm	48.4%
Angry	45.6%
Happy	47.3%
Confused	45.5%

Age	6-13
Gender	Female, 54.6%
Surprised	45%
Sad	54.5%
Disgusted	45%
Calm	45.3%
Happy	45%
Angry	45.1%
Confused	45.1%

Person	99.3%

Person	99.2%

Person	99.2%

Person	99.1%

Age	19-36
Gender	Male, 50.4%
Angry	49.7%
Surprised	49.7%
Sad	49.7%
Disgusted	49.6%
Confused	49.7%
Happy	49.6%
Calm	49.5%

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

Age	35-52
Gender	Male, 53.2%
Angry	45.9%
Calm	49.3%
Happy	45.3%
Sad	47.5%
Disgusted	45.8%
Surprised	45.5%
Confused	45.7%

Age	26-43
Gender	Female, 52.3%
Calm	52%
Happy	45.6%
Surprised	45.2%
Disgusted	45.6%
Sad	45.9%
Angry	45.3%
Confused	45.2%

Age	17-27
Gender	Female, 54.8%
Sad	45.9%
Angry	45.9%
Calm	47%
Surprised	45.8%
Disgusted	45.6%
Happy	45.8%
Confused	49%

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

interior objects	44.6%

events parties	30.1%

paintings art	14.3%

people portraits	4.4%

pets animals	3.6%

food drinks	1.9%

Human Generated Data

Title

Charity, Children: France. Argenteuil. Day Nursery: Social Conditions in French Cities: 1905: Day Nursery at Argenteuil, France.

Date

c. 1905

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, 3.2002.626.3

Human Generated Data

Title

Charity, Children: France. Argenteuil. Day Nursery: Social Conditions in French Cities: 1905: Day Nursery at Argenteuil, France.

People

Artist: Unidentified Artist,

Date

c. 1905

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.626.3

Machine Generated Data

Tags

Amazoncreated on 2019-06-07

Clarifaicreated on 2019-06-07

Imaggacreated on 2019-06-07

Googlecreated on 2019-06-07

Microsoftcreated on 2019-06-07

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-07

Text analysis

Amazon

Google

Amazon
created on 2019-06-07

Clarifai
created on 2019-06-07

Imagga
created on 2019-06-07

Google
created on 2019-06-07

Microsoft
created on 2019-06-07

Microsoft
created on 2019-06-07