AI Data for Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of Adaptation of Education to Special City Needs: Carpenter Shop. Public School No. 9 Bronx. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age	45-51
Gender	Male, 99.6%
Calm	82.8%
Sad	11.5%
Surprised	6.4%
Fear	5.9%
Angry	2%
Confused	0.9%
Happy	0.8%
Disgusted	0.5%

AWS Rekognition

Age	21-29
Gender	Female, 97%
Sad	99.8%
Confused	16.4%
Calm	7.5%
Surprised	6.8%
Fear	6.4%
Angry	0.7%
Disgusted	0.6%
Happy	0.3%

AWS Rekognition

Age	22-30
Gender	Male, 97.5%
Calm	98.3%
Surprised	6.3%
Fear	5.9%
Sad	2.5%
Angry	0.3%
Confused	0.1%
Disgusted	0.1%
Happy	0%

AWS Rekognition

Age	22-30
Gender	Female, 99%
Calm	98.7%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Confused	0.4%
Angry	0.1%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	20-28
Gender	Female, 100%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	4.5%
Confused	0.2%
Angry	0.1%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	25-35
Gender	Male, 98.2%
Disgusted	42.2%
Sad	23.3%
Calm	17.2%
Angry	12%
Surprised	7.1%
Fear	6.9%
Confused	4%
Happy	2.1%

AWS Rekognition

Age	7-17
Gender	Female, 79.9%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	3.5%
Confused	0.1%
Disgusted	0.1%
Angry	0%
Happy	0%

AWS Rekognition

Age	16-22
Gender	Female, 83.3%
Calm	93%
Surprised	6.4%
Fear	6%
Sad	3.9%
Confused	0.8%
Disgusted	0.5%
Angry	0.5%
Happy	0.2%

AWS Rekognition

Age	7-17
Gender	Male, 99.5%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	0.3%
Confused	0.1%
Angry	0%
Disgusted	0%
Happy	0%

AWS Rekognition

Age	21-29
Gender	Female, 99%
Sad	100%
Surprised	6.3%
Fear	5.9%
Confused	0%
Calm	0%
Angry	0%
Disgusted	0%
Happy	0%

AWS Rekognition

Age	18-26
Gender	Male, 99.7%
Sad	100%
Surprised	6.3%
Calm	6.3%
Fear	6%
Angry	0.4%
Confused	0.1%
Happy	0.1%
Disgusted	0.1%

AWS Rekognition

Age	21-29
Gender	Male, 95.5%
Calm	96.7%
Surprised	6.3%
Fear	5.9%
Sad	3.2%
Confused	0.1%
Angry	0.1%
Disgusted	0.1%
Happy	0%

AWS Rekognition

Age	4-12
Gender	Female, 100%
Sad	100%
Calm	8.3%
Surprised	6.3%
Fear	6%
Confused	1.4%
Angry	0.3%
Disgusted	0.2%
Happy	0.1%

AWS Rekognition

Age	11-19
Gender	Male, 99.6%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	1.9%
Confused	0.1%
Disgusted	0.1%
Angry	0%
Happy	0%

AWS Rekognition

Age	18-24
Gender	Male, 99.4%
Sad	65.2%
Calm	56.7%
Surprised	6.7%
Fear	6.2%
Happy	4.3%
Disgusted	2.5%
Confused	2%
Angry	1.7%

AWS Rekognition

Age	22-30
Gender	Female, 89.5%
Sad	78.6%
Calm	61.5%
Surprised	6.4%
Fear	6%
Confused	0.7%
Happy	0.5%
Angry	0.5%
Disgusted	0.4%

AWS Rekognition

Age	4-10
Gender	Female, 94.2%
Surprised	41.5%
Fear	38%
Calm	21.9%
Happy	6.3%
Disgusted	4.1%
Sad	2.7%
Confused	2.7%
Angry	1.9%

AWS Rekognition

Age	16-24
Gender	Male, 91.5%
Sad	100%
Surprised	6.4%
Fear	6%
Angry	5.8%
Confused	1.2%
Calm	1.1%
Disgusted	0.7%
Happy	0.3%

AWS Rekognition

Age	18-26
Gender	Female, 56.9%
Sad	99.3%
Calm	37.2%
Surprised	6.3%
Fear	6%
Angry	0.3%
Happy	0.3%
Confused	0.2%
Disgusted	0.1%

AWS Rekognition

Age	19-27
Gender	Male, 57.2%
Sad	83.4%
Confused	17.3%
Fear	13.2%
Angry	12.1%
Surprised	8%
Happy	6.7%
Calm	5.6%
Disgusted	3.8%

AWS Rekognition

Age	27-37
Gender	Male, 99.7%
Sad	79.6%
Calm	40.6%
Angry	19.1%
Surprised	6.7%
Fear	6.2%
Confused	1.6%
Happy	0.5%
Disgusted	0.2%

AWS Rekognition

Age	23-33
Gender	Male, 99.5%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	1.7%
Confused	0.3%
Angry	0%
Disgusted	0%
Happy	0%

AWS Rekognition

Age	20-28
Gender	Male, 99.3%
Sad	100%
Fear	6.5%
Surprised	6.3%
Calm	0.2%
Disgusted	0.1%
Angry	0%
Happy	0%
Confused	0%

Microsoft Cognitive Services

Age	23
Gender	Female

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Possible
Blurred	Very unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Unlikely
Blurred	Possible

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

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

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

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Possible

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

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

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	Unlikely
Blurred	Very unlikely

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

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 likely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Very likely

Feature analysis

Amazon

Person	99.6%

Captions

Microsoft
created on 2022-06-04

a group of people in a kitchen	81.5%

a group of people standing in a kitchen	76.9%

an old photo of a group of people in a kitchen	76.8%

Text analysis

Amazon

School

Carpenter

Public

Bronx.

Carpenter Shop.

Name

Shop.

Name Age

Public School N°9 Bronx.

Age

Bronx

N°9

P.510

BRONX

C175

P.510 9

VAC.S.P.S.g.B BRONX

VAC.S.P.S.g.B

Google

Name Age P.5.19 Bronx VAC.S.P.S.O.BRONX. C175 Carpenter Shop. Public School N°9 Bronx.

Name

Age

P.5.19

Bronx

VAC.S.P.S.O.BRONX

C175

Carpenter

Shop

Public

School

Title Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of Adaptation of Education to Special City Needs: Carpenter Shop. Public School No. 9 Bronx.	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, 3.2002.242

room	35.4

interior	30.1

table	29.9

shop	26.1

man	23.5

classroom	22

male	22

barbershop	21.5

modern	20.3

home	19.9

people	19.5

person	19.5

hospital	19.2

indoors	18.4

furniture	18.2

chair	18

clinic	16.9

salon	16.1

mercantile establishment	16.1

kitchen	15.4

nurse	15.2

office	15

hairdresser	14.9

men	14.6

professional	14.2

house	14.2

counter	13.9

inside	13.8

happy	13.8

adult	13.5

luxury	12.9

restaurant	12.6

work	12.6

desk	12.4

patient	12.4

lifestyle	12.3

occupation	11.9

indoor	11.9

glass	11.7

teacher	11.7

decor	11.5

medical	11.5

smile	11.4

light	11.4

group	11.3

design	11.2

smiling	10.8

place of business	10.8

job	10.6

exam	10.5

workshop	9.8

food	9.7

class	9.6

apartment	9.6

education	9.5

floor	9.3

equipment	9.3

elegance	9.2

wood	9.2

business	9.1

portrait	9.1

medicine	8.8

happiness	8.6

comfortable	8.6

architecture	8.6

sitting	8.6

blackboard	8.5

meeting	8.5

casual	8.5

doctor	8.5

dinner	8.4

service	8.3

holding	8.2

window	8.2

computer	8

cooking	7.9

chairs	7.8

color	7.8

surgeon	7.7

student	7.7

health	7.6

lamp	7.6

two	7.6

dining	7.6

mature	7.4

school	7.4

phone	7.4

board	7.2

women	7.1

Table	90.6

Art	81.8

Window	73.2

Vintage clothing	70.6

Monochrome photography	70.5

Monochrome	69.8

Cooking	69.4

Room	68.4

Visual arts	65.3

History	60.4

Collection	56.4

Indoor games and sports	56.2

Job	52.7

Photographic paper	52.4

Illustration	51.9

Machine	51.4

Class	50.8

person	97

indoor	96.5

text	96.5

clothing	91.7

table	89.8

old	67.6

white	64.8

interior objects	75.1%

food drinks	19.9%

paintings art	2.3%

Person	99.6

Human	99.6

Person	99.5

Classroom	99.5

School	99.5

Room	99.5

Indoors	99.5

Person	99.4

Person	99.2

Person	98.6

Person	98

Person	97.4

Lab	92

Person	89.1

Person	85.7

Person	77.6

Person	73.3

Building	64.2

Person	58.1

Factory	56.5

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of Adaptation of Education to Special City Needs: Carpenter Shop. Public School No. 9 Bronx.

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, 3.2002.242

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of Adaptation of Education to Special City Needs: Carpenter Shop. Public School No. 9 Bronx.

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, 3.2002.242

Machine Generated Data

Tags

Amazoncreated on 2022-06-04

Imaggacreated on 2022-06-04

Googlecreated on 2022-06-04

Microsoftcreated on 2022-06-04

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

Microsoft Cognitive Services

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Amazon
created on 2022-06-04

Imagga
created on 2022-06-04

Google
created on 2022-06-04

Microsoft
created on 2022-06-04

Microsoft
created on 2022-06-04