AI Data for Housing, Government: United States. New Jersey. Woodbury. Woodbury Bag Loading Plant: Governmental Agencies of House Construction. U.S. War Department, Industrial Service Section of the Ordnance Department, Housing Branch: Woodbury, New Jersey. Woodbury Bag Loading Plant: Interior View of Cafeteria. | AI Explorer

AWS Rekognition

Age	35-52
Gender	Female, 51.1%
Calm	49.2%
Happy	45.3%
Confused	45.2%
Sad	49.4%
Angry	45.3%
Surprised	45.4%
Disgusted	45.3%

AWS Rekognition

Age	20-38
Gender	Female, 54.7%
Confused	45.3%
Happy	45.2%
Sad	52.1%
Disgusted	45.1%
Angry	45.5%
Calm	46.8%
Surprised	45.1%

AWS Rekognition

Age	20-38
Gender	Male, 52.2%
Calm	50.2%
Disgusted	46.4%
Happy	46.1%
Confused	45.5%
Surprised	45.4%
Sad	45.7%
Angry	45.8%

AWS Rekognition

Age	35-52
Gender	Female, 52.6%
Angry	45.7%
Disgusted	46.1%
Calm	48.9%
Surprised	45.4%
Happy	45.9%
Sad	47.9%
Confused	45.2%

AWS Rekognition

Age	20-38
Gender	Male, 50.2%
Calm	49.5%
Surprised	49.5%
Happy	49.5%
Angry	49.7%
Confused	49.5%
Sad	49.9%
Disgusted	49.8%

AWS Rekognition

Age	27-44
Gender	Female, 50.3%
Sad	50.5%
Disgusted	49.5%
Calm	49.5%
Confused	49.5%
Happy	49.5%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	29-45
Gender	Female, 50.2%
Calm	49.5%
Sad	50.5%
Surprised	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	6-13
Gender	Female, 50.3%
Angry	49.5%
Surprised	49.6%
Disgusted	49.5%
Sad	49.5%
Happy	50.2%
Confused	49.6%
Calm	49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	14-23
Gender	Female, 50.2%
Happy	49.8%
Calm	49.5%
Sad	50.1%
Surprised	49.5%
Angry	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	27-44
Gender	Male, 50.2%
Happy	49.5%
Calm	49.6%
Sad	50.3%
Surprised	49.5%
Angry	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	35-52
Gender	Female, 50.5%
Calm	50.2%
Sad	49.5%
Confused	49.5%
Angry	49.6%
Disgusted	49.6%
Surprised	49.6%
Happy	49.5%

AWS Rekognition

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

AWS Rekognition

Age	19-36
Gender	Female, 50.4%
Disgusted	50.3%
Happy	49.5%
Angry	49.6%
Surprised	49.5%
Sad	49.5%
Confused	49.5%
Calm	49.5%

AWS Rekognition

Age	17-27
Gender	Female, 50.4%
Disgusted	49.6%
Confused	49.6%
Happy	49.6%
Sad	50.1%
Surprised	49.5%
Calm	49.5%
Angry	49.6%

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Angry	49.9%
Disgusted	49.5%
Surprised	49.6%
Calm	49.8%
Sad	49.6%
Happy	49.6%
Confused	49.5%

AWS Rekognition

Age	12-22
Gender	Female, 50.3%
Calm	50%
Confused	49.6%
Happy	49.5%
Disgusted	49.5%
Angry	49.6%
Surprised	49.7%
Sad	49.6%

AWS Rekognition

Age	26-44
Gender	Female, 50.3%
Happy	49.6%
Disgusted	49.9%
Surprised	49.6%
Sad	49.6%
Confused	49.5%
Angry	49.6%
Calm	49.7%

AWS Rekognition

Age	23-38
Gender	Female, 50.3%
Sad	50%
Angry	49.6%
Disgusted	49.6%
Surprised	49.5%
Happy	49.5%
Calm	49.8%
Confused	49.5%

AWS Rekognition

Age	15-25
Gender	Female, 50.4%
Calm	49.7%
Sad	50.1%
Surprised	49.5%
Angry	49.6%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

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

AWS Rekognition

Age	48-68
Gender	Female, 50.4%
Calm	49.6%
Disgusted	50.2%
Happy	49.6%
Confused	49.5%
Surprised	49.5%
Sad	49.6%
Angry	49.6%

AWS Rekognition

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

AWS Rekognition

Age	26-43
Gender	Female, 50.3%
Calm	49.8%
Happy	49.6%
Sad	49.7%
Angry	49.6%
Disgusted	49.7%
Confused	49.5%
Surprised	49.5%

AWS Rekognition

Age	14-25
Gender	Female, 50.1%
Happy	49.5%
Angry	49.6%
Calm	49.9%
Sad	49.8%
Surprised	49.5%
Confused	49.5%
Disgusted	49.6%

AWS Rekognition

Age	6-13
Gender	Female, 50.5%
Surprised	49.6%
Angry	49.5%
Sad	50%
Happy	49.6%
Disgusted	49.6%
Calm	49.6%
Confused	49.6%

Title Housing, Government: United States. New Jersey. Woodbury. Woodbury Bag Loading Plant: Governmental Agencies of House Construction. U.S. War Department, Industrial Service Section of the Ordnance Department, Housing Branch: Woodbury, New Jersey. Woodbury Bag Loading Plant: Interior View of Cafeteria.	Date c. 1918
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, 3.2002.2055.2

Restaurant	99.9

Furniture	99.6

Chair	99.6

Human	99.2

Person	99.2

Cafeteria	98.3

Person	97.7

Person	97

Person	90.1

Person	89.8

Person	87.8

Person	86.3

Person	86.1

Person	84.9

Person	81.1

Person	80.6

Person	80.3

Indoors	80.1

Room	80.1

Chair	77.7

Meal	60.8

Food	60.8

Food Court	56.2

Person	43.6

Person	41.7

people	100

many	99.9

group together	99.8

group	99.6

adult	98.3

administration	97.8

man	97.2

chair	96.9

leader	96.7

furniture	96.5

crowd	94.9

woman	94.6

several	93.1

military	91.7

sit	88.4

vehicle	84.8

seat	84.2

dining room	83.5

war	82.9

recreation	80.7

hall	67.1

room	65.7

classroom	56

table	39.9

restaurant	39.2

chair	37.1

interior	30.1

cafeteria	21.2

modern	21

building	20.6

indoors	18.4

glass	17.9

people	17.8

dinner	17

group	16.9

furniture	16.8

seat	16.4

meeting	16

male	15.6

drink	15

women	15

dining	14.3

business	14

men	13.7

man	13.4

desk	13.2

design	12.9

sitting	12.9

food	12.8

indoor	12.8

conference	12.7

wood	12.5

decor	12.4

structure	12

chairs	11.7

meal	11.5

drinking	11.5

office	11.3

happy	11.3

floor	11.1

person	11.1

bar	11.1

wine	11.1

inside	11

architecture	10.9

lifestyle	10.8

tables	10.8

center	10.6

businessman	10.6

couple	10.4

talking	10.4

work	10.4

empty	10.3

coffee	10.2

decoration	10.1

school	10.1

house	10

adult	9.9

lunch	9.7

together	9.6

hotel	9.5

education	9.5

party	9.4

library	9.4

smiling	9.4

counter	9.3

presentation	9.3

city	9.1

businesswoman	9.1

teacher	9.1

cheerful	8.9

new	8.9

student	8.9

stool	8.9

home	8.8

urban	8.7

comfortable	8.6

eating	8.4

study	8.4

eat	8.4

relaxation	8.4

style	8.2

team	8.1

kitchen	8

life	7.8

scene	7.8

casual	7.6

learning	7.5

row	7.4

manager	7.4

teamwork	7.4

alcohol	7.4

laptop	7.4

job	7.1

day	7.1

happiness	7

wooden	7

Photograph	95.7

Snapshot	85.6

Room	71.4

Stock photography	68.5

Event	62.7

table	99.7

furniture	97.1

chair	88.7

person	88

building	74.5

clothing	72.1

group	69.9

kitchen & dining room table	57.2

old	46.2

interior objects	90.3%

streetview architecture	5.3%

events parties	2.9%

a group of people sitting at a table	92.9%

a group of people sitting around a table	92.7%

a group of people sitting at a table in front of a building	92.1%

Chair	99.6%

Chair	77.7%

Person	99.2%

Human Generated Data

Title

Date

c. 1918

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, 3.2002.2055.2

Human Generated Data

Title

People

Artist: Unidentified Artist,

Date

c. 1918

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2055.2

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

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AWS Rekognition

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AWS Rekognition

AWS Rekognition

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AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-06

Text analysis

Amazon

Google

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