AI Data for Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: Seniors Reading Shakespeare. | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	22-30
Gender	Female, 83.6%
Disgusted	75.3%
Sad	10.3%
Calm	7.4%
Surprised	6.8%
Fear	6.6%
Angry	2%
Confused	0.5%
Happy	0.3%

AWS Rekognition

Age	22-30
Gender	Male, 99.5%
Calm	67.3%
Sad	25.7%
Surprised	7.2%
Fear	6.7%
Confused	2.6%
Angry	2.5%
Disgusted	2.3%
Happy	2.1%

AWS Rekognition

Age	16-24
Gender	Male, 93.6%
Disgusted	29.3%
Calm	29%
Fear	12.8%
Surprised	11.3%
Angry	7.2%
Sad	6%
Confused	5.3%
Happy	1.4%

AWS Rekognition

Age	37-45
Gender	Female, 64.2%
Calm	87.4%
Surprised	9.7%
Fear	7.1%
Sad	2.7%
Confused	0.9%
Happy	0.9%
Disgusted	0.4%
Angry	0.3%

AWS Rekognition

Age	23-31
Gender	Female, 99.8%
Calm	39.5%
Angry	28.7%
Sad	15.2%
Disgusted	8%
Surprised	7.8%
Fear	6.9%
Confused	3%
Happy	0.7%

AWS Rekognition

Age	6-14
Gender	Male, 95.6%
Fear	72.3%
Calm	29.2%
Confused	8.9%
Surprised	7.3%
Sad	3%
Disgusted	1%
Angry	0.8%
Happy	0.3%

AWS Rekognition

Age	7-17
Gender	Female, 96.2%
Sad	99.5%
Calm	25.7%
Fear	6.9%
Surprised	6.8%
Disgusted	3.5%
Angry	2.2%
Confused	1%
Happy	0.4%

AWS Rekognition

Age	21-29
Gender	Male, 97.2%
Angry	39.2%
Calm	27.8%
Confused	12.6%
Sad	12.4%
Surprised	7.2%
Fear	6.3%
Disgusted	2.5%
Happy	1.9%

AWS Rekognition

Age	13-21
Gender	Female, 78.6%
Sad	97.3%
Confused	14.1%
Calm	13.2%
Surprised	9.8%
Disgusted	9.6%
Fear	6.8%
Angry	1.8%
Happy	1.6%

AWS Rekognition

Age	20-28
Gender	Male, 99.8%
Calm	99.6%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Confused	0.1%
Disgusted	0.1%
Angry	0%
Happy	0%

AWS Rekognition

Age	13-21
Gender	Male, 83.7%
Calm	62.5%
Confused	14.6%
Surprised	9%
Sad	8.4%
Fear	7.2%
Disgusted	2.1%
Happy	1.8%
Angry	1%

AWS Rekognition

Age	20-28
Gender	Female, 61.1%
Sad	93.5%
Calm	47.2%
Surprised	7.2%
Fear	6.5%
Confused	1.4%
Disgusted	1.3%
Angry	0.9%
Happy	0.5%

AWS Rekognition

Age	19-27
Gender	Female, 69.7%
Sad	88.8%
Disgusted	26.6%
Confused	15.1%
Surprised	12.7%
Fear	6.6%
Angry	3.5%
Calm	2.2%
Happy	0.6%

AWS Rekognition

Age	23-31
Gender	Male, 96.7%
Sad	36.6%
Calm	27.6%
Fear	19.5%
Confused	11.3%
Surprised	7.9%
Angry	6.7%
Disgusted	4.3%
Happy	4.1%

AWS Rekognition

Age	11-19
Gender	Female, 64.3%
Calm	94.1%
Surprised	6.7%
Fear	6%
Sad	3.4%
Disgusted	0.5%
Angry	0.3%
Happy	0.3%
Confused	0.2%

AWS Rekognition

Age	11-19
Gender	Female, 80.4%
Calm	99.3%
Surprised	6.4%
Fear	5.9%
Sad	2.2%
Disgusted	0.2%
Confused	0.1%
Angry	0%
Happy	0%

AWS Rekognition

Age	14-22
Gender	Female, 100%
Disgusted	52.8%
Calm	18.3%
Fear	7.7%
Surprised	7.5%
Happy	6.6%
Angry	5.5%
Confused	5.3%
Sad	4.3%

AWS Rekognition

Age	21-29
Gender	Female, 96.1%
Calm	87.9%
Surprised	6.9%
Fear	6.3%
Sad	3.8%
Disgusted	3%
Angry	1.2%
Happy	1.1%
Confused	0.4%

AWS Rekognition

Age	23-33
Gender	Male, 89.9%
Calm	64.1%
Surprised	14.1%
Fear	7.1%
Confused	7%
Sad	5.7%
Disgusted	3.8%
Angry	2.3%
Happy	2.2%

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	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	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	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	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 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	99.6%

Captions

Microsoft
created on 2022-06-04

a group of people standing in a room	96.4%

a group of people in a room	96.3%

a group of people that are standing in a room	94.2%

Text analysis

Amazon

reading

Seniors

Seniors reading Shakespeare.

Shakespeare.

Gluten des E

at Machant v

Machant

Gluten

منية

YV منية

Trings

secred

The

des

Google

4.0. mutant The Merchant of Vie W delinge fenal UPAY 0 Seniors reading Shakespeare. 12

4.0

Merchant

fenal

UPAY

mutant

The

Vie

delinge

Seniors

reading

Shakespeare

Title Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: Seniors Reading Shakespeare.	Date 1899-1900
People Artist: Frances Benjamin Johnston, American 1864 - 1952	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.238

classroom	46.5

room	45.7

man	23.5

people	22.3

person	20.8

business	20.6

teacher	20.4

interior	19.4

professional	16.4

life	15.4

male	14.2

adult	14.2

student	13.8

educator	13.6

city	13.3

urban	13.1

group	12.9

clothing	12.3

uniform	12.3

table	12.1

corporate	12

men	12

women	11.1

occupation	11

work	11

hall	10.6

indoors	10.5

chair	10.4

technology	10.4

office	10.3

architecture	10.1

window	10.1

military uniform	9.8

old	9.7

businessman	9.7

scene	9.5

modern	9.1

building	9

transportation	9

religion	9

new	8.9

enrollee	8.9

home	8.8

day	8.6

travel	8.4

communication	8.4

family	8

working	7.9

happiness	7.8

chairs	7.8

entrepreneur	7.8

center	7.6

fashion	7.5

happy	7.5

phone	7.4

inside	7.4

historic	7.3

businesswoman	7.3

dress	7.2

holiday	7.2

Table	94.8

Furniture	93.1

Chair	88.1

Art	80.8

Vintage clothing	74.1

Event	73.4

Room	66.1

History	65.5

Stock photography	62.3

Visual arts	61.2

Suit	61.1

Illustration	60.5

Painting	59.4

Building	57.3

Class	54.1

Collection	52.6

Rectangle	52

Job	50.9

indoor	99.2

wall	98.7

person	97.7

clothing	96.9

floor	96.1

text	95.2

room	86.5

woman	60.9

man	56.9

old	50.3

furniture	21.4

clothes	20

several	10.6

events parties	33.1%

streetview architecture	32.6%

text visuals	27.3%

interior objects	3.3%

people portraits	1%

pets animals	1%

Classroom	99.9

School	99.9

Room	99.9

Indoors	99.9

Person	99.6

Human	99.6

Person	99.3

Person	98.6

Person	98.4

Person	98.1

Person	97.4

Person	97.3

Person	97.2

Person	96.7

Person	96.3

Person	95.1

Person	95

Person	94

Person	93.7

Person	87.5

Person	82.4

Person	78.4

Person	71.6

Person	70.6

Clothing	66.9

Apparel	66.9

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: Seniors Reading Shakespeare.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.238

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: Seniors Reading Shakespeare.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.238

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

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

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

Imagga

Captions

Microsoftcreated on 2022-06-04

Text analysis

Amazon

Google

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