AI Data for Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan: Housekeeping-Serving. | AI Explorer

AWS Rekognition

Age	45-63
Gender	Female, 51.8%
Angry	46%
Disgusted	46.5%
Surprised	46%
Happy	47.3%
Calm	45.8%
Sad	47%
Confused	46.4%

AWS Rekognition

Age	26-43
Gender	Male, 51.7%
Sad	47.6%
Happy	45%
Angry	51.6%
Calm	45.1%
Surprised	45.1%
Confused	45.4%
Disgusted	45.1%

AWS Rekognition

Age	20-38
Gender	Female, 51.1%
Calm	46.1%
Disgusted	46%
Sad	50.4%
Happy	45.7%
Confused	45.5%
Surprised	45.4%
Angry	45.9%

AWS Rekognition

Age	16-27
Gender	Female, 53.5%
Sad	47.8%
Disgusted	45.3%
Happy	45.3%
Surprised	45.5%
Angry	45.4%
Calm	50.1%
Confused	45.6%

AWS Rekognition

Age	23-38
Gender	Female, 52.6%
Calm	46.5%
Surprised	45.7%
Happy	46.1%
Disgusted	45.4%
Angry	45.7%
Sad	50%
Confused	45.6%

AWS Rekognition

Age	11-18
Gender	Female, 54.3%
Happy	45.6%
Surprised	45.7%
Angry	45.6%
Calm	46%
Sad	51%
Disgusted	45.3%
Confused	45.8%

AWS Rekognition

Age	26-43
Gender	Female, 54.1%
Calm	47.6%
Disgusted	45.3%
Angry	47.7%
Happy	45.5%
Sad	46.8%
Surprised	45.8%
Confused	46.3%

AWS Rekognition

Age	48-68
Gender	Female, 50.3%
Calm	49.5%
Disgusted	49.5%
Sad	49.6%
Happy	49.6%
Confused	49.5%
Surprised	49.5%
Angry	50.2%

AWS Rekognition

Age	19-36
Gender	Female, 54.5%
Angry	45.6%
Happy	45.2%
Calm	45.3%
Confused	45.8%
Sad	52%
Disgusted	45.5%
Surprised	45.5%

AWS Rekognition

Age	15-25
Gender	Female, 50.2%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Calm	49.6%
Sad	50.3%
Confused	49.5%

AWS Rekognition

Age	11-18
Gender	Female, 53.7%
Confused	45.5%
Angry	46.8%
Disgusted	47%
Calm	45.3%
Happy	46.3%
Surprised	45.5%
Sad	48.6%

AWS Rekognition

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

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Sad	49.6%
Angry	49.6%
Happy	49.8%
Surprised	49.6%
Confused	49.6%
Calm	49.7%
Disgusted	49.6%

AWS Rekognition

Age	16-27
Gender	Female, 53.1%
Angry	46.6%
Disgusted	46%
Calm	46.1%
Surprised	45.5%
Happy	45.6%
Sad	49.8%
Confused	45.5%

AWS Rekognition

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

AWS Rekognition

Age	16-27
Gender	Male, 50.3%
Calm	46.9%
Disgusted	45.9%
Happy	45.5%
Surprised	46%
Sad	47%
Angry	48.1%
Confused	45.7%

Title Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan: Housekeeping-Serving.	Date c. 1900
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, 3.2002.82.2

Person	99

Human	99

Person	98.9

Chair	98.4

Furniture	98.4

Person	97.9

Chair	97.9

Chair	95.4

Person	91.9

Person	84.4

Clinic	83.1

Room	83

Indoors	83

Person	77.9

Person	63

People	59.3

Classroom	59.2

School	59.2

Workshop	59.1

Table	57.4

Steamer	56.8

Person	50.1

Person	42.2

people	99.6

many	98.8

chair	98.4

man	97.8

furniture	96.9

group	96.7

indoors	95.3

room	94.8

adult	94

group together	93.3

seat	90.4

table	90.4

woman	89.3

military	89

crowd	84.5

meeting	83.9

no person	83.2

music	81.5

sit	80.2

recreation	78.7

sketch	100

drawing	83.4

representation	71.3

table	47.1

interior	46

room	44.6

chair	42.1

furniture	34.8

hall	33.6

house	32.6

floor	27

modern	23.8

chairs	23.5

wood	22.5

empty	21.5

architecture	21.1

home	21

design	20.8

decor	20.3

inside	18.4

window	18.3

luxury	18

seat	17.8

restaurant	17.4

dining	17.1

glass	17.1

tables	16.7

indoors	16.7

patio	16

structure	14.2

contemporary	14.1

area	13.5

dinner	13.5

light	13.4

style	13.4

urban	13.1

wall	13

plant	12.7

residential	12.4

hotel	12.4

desk	12.3

decoration	12.2

building	11.8

kitchen	11.6

office	11.2

deck	11

indoor	11

business	10.9

elegance	10.9

nobody	10.9

classroom	10.7

comfortable	10.5

lamp	10.5

resort	10.3

3d	10.1

relaxation	10.1

drink	10

city	10

stool	9.9

stove	9.8

tile	9.7

food	9.7

living	9.5

lunch	9.4

eat	9.2

travel	9.2

counter	8.8

scene	8.7

apartment	8.6

relax	8.4

people	8.4

summer	8.4

event	8.3

bar	8.3

meal	8.1

sun	8.1

cabinet	7.9

space	7.8

sofa	7.7

sky	7.7

outdoor	7.6

door	7.6

estate	7.6

tourism	7.4

wine	7.4

life	7.2

residence	7.1

wooden	7

Photograph	95.8

Text	85.2

Snapshot	84.5

Room	84.3

Class	67.6

Table	63.8

Classroom	63.1

History	57.6

Furniture	56.7

Family	53.1

Building	50.8

chair	95.5

indoor	94.4

furniture	94.3

table	94.2

floor	93.7

person	86.1

old	77.4

clothing	76.4

paintings art	68.4%

streetview architecture	22%

interior objects	5.6%

pets animals	1.5%

a vintage photo of a group of people in a room	84.6%

a vintage photo of some people in a room	84.5%

a vintage photo of a group of people standing in a room	78.1%

Person	99%

Person	98.9%

Person	97.9%

Person	91.9%

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan: Housekeeping-Serving.

Date

c. 1900

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, 3.2002.82.2

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan: Housekeeping-Serving.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.82.2

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

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 2019-06-05

Text analysis

Amazon

Google

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