AI Data for Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: Agencies Promoting the Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. New York City Public Schools. Examples of Adaptation of Education to Special City Needs: English Lessons to Foreigners. Evening. Public School No. 160 Manhattan. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	19-27
Gender	Male, 100%
Calm	84.2%
Surprised	8.3%
Fear	7.6%
Sad	3%
Disgusted	2%
Happy	1.6%
Angry	1.4%
Confused	0.6%

AWS Rekognition

Age	23-33
Gender	Male, 96.6%
Sad	30.2%
Calm	24.9%
Angry	13.3%
Surprised	12.6%
Disgusted	11.2%
Fear	8.8%
Confused	8%
Happy	6.2%

AWS Rekognition

Age	27-37
Gender	Male, 96.8%
Calm	96.9%
Surprised	6.4%
Fear	5.9%
Sad	2.3%
Confused	1.4%
Angry	0.4%
Disgusted	0.2%
Happy	0.2%

AWS Rekognition

Age	23-31
Gender	Male, 99.8%
Calm	86.2%
Surprised	6.6%
Fear	6.4%
Sad	4.9%
Angry	2.7%
Happy	1.9%
Confused	0.6%
Disgusted	0.6%

AWS Rekognition

Age	18-26
Gender	Male, 99%
Calm	94.5%
Surprised	6.8%
Fear	6%
Sad	2.7%
Happy	0.7%
Confused	0.7%
Angry	0.6%
Disgusted	0.5%

AWS Rekognition

Age	22-30
Gender	Male, 98.7%
Angry	92.5%
Surprised	6.4%
Fear	6.1%
Sad	3.3%
Calm	2.3%
Disgusted	0.9%
Confused	0.2%
Happy	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 69.3%
Sad	98.1%
Calm	29%
Happy	9.2%
Surprised	7.6%
Fear	6.1%
Angry	2.3%
Confused	1.1%
Disgusted	0.9%

AWS Rekognition

Age	29-39
Gender	Female, 89.8%
Calm	98.5%
Surprised	6.3%
Fear	5.9%
Sad	2.3%
Happy	0.6%
Angry	0.1%
Disgusted	0.1%
Confused	0.1%

AWS Rekognition

Age	43-51
Gender	Male, 96.3%
Calm	86.3%
Sad	11.6%
Surprised	6.3%
Fear	5.9%
Confused	0.4%
Disgusted	0.2%
Happy	0.1%
Angry	0.1%

AWS Rekognition

Age	33-41
Gender	Male, 99.9%
Sad	100%
Calm	8.4%
Surprised	6.4%
Fear	6%
Confused	2.3%
Disgusted	0.8%
Angry	0.2%
Happy	0.1%

AWS Rekognition

Age	24-34
Gender	Male, 82.1%
Calm	98%
Surprised	6.7%
Fear	5.9%
Sad	2.3%
Happy	0.2%
Angry	0.2%
Disgusted	0.1%
Confused	0.1%

AWS Rekognition

Age	26-36
Gender	Male, 99.2%
Angry	44.1%
Calm	44%
Surprised	6.9%
Fear	6.7%
Happy	4.2%
Sad	3%
Disgusted	1.3%
Confused	0.8%

AWS Rekognition

Age	20-28
Gender	Male, 99.5%
Calm	95.7%
Surprised	6.3%
Fear	5.9%
Sad	3.7%
Confused	0.1%
Angry	0.1%
Disgusted	0.1%
Happy	0%

AWS Rekognition

Age	28-38
Gender	Male, 100%
Calm	99%
Surprised	6.3%
Fear	5.9%
Sad	2.4%
Happy	0.1%
Confused	0%
Disgusted	0%
Angry	0%

AWS Rekognition

Age	23-31
Gender	Female, 93.9%
Calm	88%
Sad	8.6%
Surprised	6.5%
Fear	5.9%
Confused	0.4%
Angry	0.3%
Disgusted	0.3%
Happy	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 99.6%
Calm	98.9%
Surprised	6.3%
Fear	5.9%
Sad	2.4%
Angry	0.1%
Disgusted	0%
Confused	0%
Happy	0%

AWS Rekognition

Age	34-42
Gender	Male, 99.7%
Calm	99.4%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Confused	0.1%
Angry	0%
Disgusted	0%
Happy	0%

AWS Rekognition

Age	25-35
Gender	Male, 99.4%
Surprised	63.1%
Calm	38.2%
Fear	11.6%
Confused	8.2%
Sad	2.8%
Angry	1.2%
Disgusted	0.9%
Happy	0.8%

AWS Rekognition

Age	47-53
Gender	Male, 95.8%
Calm	78.8%
Surprised	12.3%
Fear	6.5%
Happy	3.6%
Sad	3.2%
Angry	2.2%
Disgusted	1.1%
Confused	0.9%

AWS Rekognition

Age	29-39
Gender	Male, 100%
Calm	62.8%
Happy	27%
Surprised	7.1%
Fear	6.6%
Sad	3.8%
Angry	1.2%
Disgusted	1.2%
Confused	0.3%

AWS Rekognition

Age	19-27
Gender	Female, 58.9%
Calm	73.7%
Sad	15.7%
Surprised	7%
Fear	6.4%
Confused	4.1%
Angry	1.8%
Happy	1.6%
Disgusted	1.1%

AWS Rekognition

Age	19-27
Gender	Male, 99.7%
Calm	70.8%
Surprised	10.7%
Angry	9.4%
Fear	7.4%
Sad	4%
Happy	1.7%
Confused	1.7%
Disgusted	1.5%

AWS Rekognition

Age	23-31
Gender	Male, 97.9%
Calm	61.3%
Sad	52.1%
Surprised	7.1%
Fear	6.8%
Happy	2.3%
Angry	2%
Disgusted	1.7%
Confused	1.7%

AWS Rekognition

Age	20-28
Gender	Male, 99.9%
Calm	89.3%
Surprised	7.4%
Fear	6.1%
Sad	3.9%
Happy	1.2%
Angry	1.1%
Confused	0.9%
Disgusted	0.6%

AWS Rekognition

Age	37-45
Gender	Female, 82.9%
Calm	85.7%
Surprised	6.8%
Fear	6%
Happy	5.1%
Sad	4.5%
Confused	1%
Angry	0.7%
Disgusted	0.6%

AWS Rekognition

Age	22-30
Gender	Male, 99.4%
Sad	39.9%
Calm	26.6%
Angry	24.1%
Confused	13.5%
Fear	7.7%
Surprised	7.4%
Happy	3.2%
Disgusted	2.4%

AWS Rekognition

Age	16-24
Gender	Male, 69.6%
Sad	99.4%
Calm	16.6%
Disgusted	7.2%
Angry	7.1%
Surprised	6.9%
Fear	6.3%
Confused	3.4%
Happy	0.9%

AWS Rekognition

Age	23-31
Gender	Male, 99.5%
Calm	45.7%
Fear	16%
Sad	10.9%
Angry	10.5%
Surprised	7%
Disgusted	5.9%
Happy	4.8%
Confused	3.1%

AWS Rekognition

Age	14-22
Gender	Female, 98.1%
Calm	59.2%
Sad	16.6%
Fear	9%
Surprised	8%
Happy	7.6%
Confused	4.2%
Angry	2%
Disgusted	1.4%

AWS Rekognition

Age	37-45
Gender	Female, 54.3%
Calm	80.6%
Happy	13.8%
Surprised	6.4%
Fear	6%
Sad	2.8%
Angry	1.9%
Confused	0.6%
Disgusted	0.5%

AWS Rekognition

Age	18-26
Gender	Male, 99.8%
Fear	59.6%
Confused	24.5%
Surprised	14.6%
Sad	10.6%
Happy	2.2%
Disgusted	1.5%
Angry	1%
Calm	0.9%

AWS Rekognition

Age	20-28
Gender	Female, 50.8%
Calm	95.2%
Surprised	6.5%
Fear	6%
Sad	3%
Happy	0.7%
Confused	0.6%
Disgusted	0.1%
Angry	0.1%

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	Unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	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	Likely

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	Likely

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	Likely

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 unlikely

Google Vision

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

Feature analysis

Amazon

Person	99.5%

Captions

Microsoft
created on 2022-06-25

a group of people standing in front of a crowd posing for the camera	94.6%

a group of people posing for a photo	94.5%

a group of people posing for a photo in front of a crowd	94.4%

Text analysis

Amazon

with

c48

with Our

of Seat

EVC.P.S.160.MAN.

Seat

Our

Google

HU e 48. Evd. P.S.160.MAN.

Evd

P.S.160.MAN

Title Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: Agencies Promoting the Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. New York City Public Schools. Examples of Adaptation of Education to Special City Needs: English Lessons to Foreigners. Evening. Public School No. 160 Manhattan.	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, 3.2002.245.2

room	28

man	26.9

people	23.4

restaurant	21.9

table	19.9

classroom	18.1

interior	16.8

person	16.3

musical instrument	15.2

male	14.9

indoors	14

building	14

business	14

men	13.7

chair	11.7

life	11.5

light	11.3

couple	11.3

work	11

black	10.8

night	10.6

adult	10.1

office	10

brass	9.9

family	9.8

furniture	9.7

group	9.7

hall	9.5

smiling	9.4

wind instrument	9.3

window	9.3

city	9.1

old	9

design	9

businessman	8.8

home	8.8

lamp	8.8

musician	8.7

party	8.6

architecture	8.6

sitting	8.6

house	8.3

uniform	8.3

fashion	8.3

lifestyle	7.9

love	7.9

teacher	7.9

happiness	7.8

chairs	7.8

stage	7.8

professional	7.5

silhouette	7.4

percussion instrument	7.4

music	7.4

inside	7.4

street	7.4

occupation	7.3

indoor	7.3

singer	7.1

Furniture	94.4

Table	93.2

Chair	91.5

Suit	79.3

Monochrome	73.7

Event	73.4

Vintage clothing	71.7

Monochrome photography	69.3

Building	68.8

Room	68.5

Crowd	65.5

History	65.3

Class	58.5

Recreation	58.5

Art	55.6

Cafeteria	52.6

person	98.8

clothing	94.4

table	90.8

group	89.4

furniture	88.8

chair	78.6

people	77.1

text	62.5

man	61

old	56.3

posing	50.7

Restaurant	99.6

Person	99.5

Human	99.5

Person	98.7

Person	98

Person	97.6

Person	96.5

Person	94

Person	92.9

Cafeteria	92.5

Person	89.9

Person	80

Clinic	79.2

Person	75.7

Person	70.2

Person	68.4

Cafe	61.8

Room	57.2

Indoors	57.2

Building	56.3

School	55.8

Person	50.2

events parties	75.3%

streetview architecture	20.9%

people portraits	1.9%

Human Generated Data

Title

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, 3.2002.245.2

Human Generated Data

Title

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, 3.2002.245.2

Machine Generated Data

Tags

Amazoncreated on 2022-06-25

Imaggacreated on 2022-06-25

Googlecreated on 2022-06-25

Microsoftcreated on 2022-06-25

Color Analysis

Face analysis

Amazon

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

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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

Amazon
created on 2022-06-25

Imagga
created on 2022-06-25

Google
created on 2022-06-25

Microsoft
created on 2022-06-25

Microsoft
created on 2022-06-25