AI Data for Untitled (group portrait of boys in ROTC uniforms) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	34-42
Gender	Male, 99.2%
Sad	49.3%
Calm	30.2%
Happy	9%
Confused	8.8%
Angry	1.1%
Disgusted	1%
Surprised	0.3%
Fear	0.3%

AWS Rekognition

Age	40-48
Gender	Male, 99.9%
Surprised	26.9%
Calm	20.6%
Happy	16.2%
Confused	15.4%
Sad	13%
Disgusted	4.6%
Fear	2.1%
Angry	1.2%

AWS Rekognition

Age	48-56
Gender	Male, 99.6%
Sad	57.3%
Confused	12.5%
Calm	11.7%
Happy	6.3%
Angry	4.6%
Disgusted	3.7%
Fear	2%
Surprised	1.7%

AWS Rekognition

Age	48-54
Gender	Male, 99.9%
Surprised	80%
Sad	6.3%
Calm	4.2%
Disgusted	3.4%
Happy	3.2%
Angry	1.8%
Confused	0.6%
Fear	0.4%

AWS Rekognition

Age	45-53
Gender	Male, 99.1%
Calm	77.1%
Sad	12.7%
Happy	4.4%
Confused	1.5%
Fear	1.5%
Surprised	1.1%
Angry	1%
Disgusted	0.8%

AWS Rekognition

Age	36-44
Gender	Male, 99.8%
Happy	95.6%
Sad	2.8%
Surprised	0.4%
Calm	0.4%
Fear	0.3%
Disgusted	0.2%
Angry	0.2%
Confused	0.1%

AWS Rekognition

Age	35-43
Gender	Male, 99.4%
Happy	95.7%
Calm	3%
Surprised	0.5%
Disgusted	0.3%
Angry	0.2%
Fear	0.1%
Sad	0.1%
Confused	0.1%

AWS Rekognition

Age	45-51
Gender	Male, 98.4%
Sad	42.3%
Calm	35.2%
Happy	15.4%
Disgusted	2%
Surprised	1.6%
Confused	1.4%
Fear	1.2%
Angry	0.9%

AWS Rekognition

Age	43-51
Gender	Male, 96.9%
Sad	66.1%
Calm	26.9%
Surprised	2.4%
Happy	1.4%
Fear	1.1%
Disgusted	1%
Confused	0.5%
Angry	0.5%

AWS Rekognition

Age	33-41
Gender	Male, 90.5%
Sad	87.1%
Calm	9.1%
Happy	1.4%
Disgusted	0.8%
Angry	0.6%
Surprised	0.4%
Confused	0.3%
Fear	0.2%

AWS Rekognition

Age	40-48
Gender	Male, 99.9%
Sad	89.5%
Happy	5.5%
Calm	1.4%
Angry	1.1%
Disgusted	0.9%
Surprised	0.8%
Fear	0.6%
Confused	0.3%

AWS Rekognition

Age	36-44
Gender	Male, 99.8%
Happy	74.9%
Surprised	23.5%
Calm	0.6%
Disgusted	0.3%
Angry	0.2%
Sad	0.2%
Fear	0.2%
Confused	0.2%

AWS Rekognition

Age	41-49
Gender	Male, 99.2%
Sad	35.1%
Happy	33.6%
Calm	25%
Confused	2%
Surprised	1.5%
Fear	1.3%
Disgusted	0.9%
Angry	0.6%

AWS Rekognition

Age	31-41
Gender	Male, 99.9%
Happy	86.6%
Calm	8.4%
Sad	2.9%
Confused	0.8%
Surprised	0.4%
Disgusted	0.3%
Angry	0.3%
Fear	0.2%

AWS Rekognition

Age	39-47
Gender	Male, 99.6%
Happy	94.8%
Calm	3.1%
Sad	0.8%
Surprised	0.7%
Confused	0.2%
Disgusted	0.2%
Angry	0.1%
Fear	0.1%

AWS Rekognition

Age	36-44
Gender	Male, 51.9%
Happy	85.4%
Sad	7.7%
Calm	2.5%
Surprised	2%
Disgusted	0.8%
Confused	0.6%
Fear	0.5%
Angry	0.4%

AWS Rekognition

Age	49-57
Gender	Male, 100%
Happy	49.7%
Sad	30.2%
Calm	5.5%
Surprised	5.1%
Confused	4.3%
Fear	2.1%
Disgusted	1.8%
Angry	1.2%

AWS Rekognition

Age	34-42
Gender	Male, 94.4%
Sad	62.2%
Calm	32%
Confused	2.9%
Angry	1%
Disgusted	1%
Happy	0.6%
Surprised	0.2%
Fear	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	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	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 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

Feature analysis

Amazon

Person

Tie

Person	98.4%

Person	98.4%

Person	98.4%

Person	97%

Person	96.7%

Person	95.3%

Person	93.5%

Person	89.8%

Person	87.2%

Person	86.7%

Person	78.4%

Person	76.6%

Person	70.3%

Person	64.6%

Tie	92.5%

Tie	87%

Captions

Microsoft
created on 2022-02-04

a group of people posing for a photo	74.3%

a group of people posing for a picture	74.2%

a group of people posing for the camera	74.1%

Text analysis

Amazon

CHAMPIONSHIP

1936

TENNIS

1935

NEW

1937

NEW MEXICO

MEXICO

FOOTBALL

CONF

CONF ERENCE

ERENCE

CHAMPION

NEW ME

CHA

CHAMPIONSH

CON

CHAN

E NI

CONFERENCI

Google

NEW MEXICO CONFERENCE CHAMPIONSHIP FOOTBALL 1935 NEW ME CONFEREN CHAMPIONS TENNIS 1936 CON CHAMPIO FOOTBALL 1937 CHA CHA

NEW

MEXICO

CONFERENCE

CHAMPIONSHIP

FOOTBALL

1935

CONFEREN

CHAMPIONS

TENNIS

1936

CON

CHAMPIO

1937

CHA

Title Untitled (group portrait of boys in ROTC uniforms)	Date c. 1950
People Artist: Jack Rodden Studio, American 1914 - 2016	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13699

people	99.9

many	98.8

group	97.5

man	97.5

group together	97

adult	95.7

education	95

woman	94.9

school	88.6

audience	87.5

music	87.2

child	86.3

uniform	86

musician	85.4

crowd	85.3

wear	85.3

victory	83.9

recreation	83.5

boy	80.5

rehearsal	80.3

percussion instrument	59.3

musical instrument	59

marimba	58.9

man	22.2

brass	21.7

wind instrument	19.1

people	18.9

blackboard	17.1

person	17

male	16.3

black	15.6

silhouette	14.1

old	13.2

teacher	12

group	11.3

men	11.2

music	11.1

businessman	10.6

business	10.3

women	10.3

cornet	10.2

hand	9.9

retro	9.8

vibraphone	9.8

classroom	9.6

education	9.5

sitting	9.4

room	9.2

portrait	9.1

style	8.9

student	8.8

couple	8.7

boy	8.7

lifestyle	8.7

grunge	8.5

two	8.5

adult	8.4

vintage	8.3

art	8.1

device	8.1

light	8

night	8

glass	7.9

design	7.9

table	7.8

scene	7.8

school	7.8

sign	7.5

smiling	7.2

team	7.2

religion	7.2

history	7.1

architecture	7

Font	83.2

Art	82

Painting	79.1

Monochrome	74.6

Illustration	70

Room	69.1

Visual arts	68.7

Drawing	68.6

Event	68.2

History	66

Stock photography	63

Monochrome photography	62.4

Class	61.3

Team	60

Stool	59.8

Photo caption	57.9

Suit	53.1

Collection	51.3

Blackboard	50.8

Vintage clothing	50.6

text	98.9

drawing	78.1

person	77.9

Person	98.4

Human	98.4

Person	98.4

Person	98.4

Person	97

Person	96.7

Person	95.3

Person	93.5

Tie	92.5

Accessories	92.5

Accessory	92.5

Person	89.8

Person	87.2

Tie	87

Person	86.7

People	79.8

Person	78.4

Person	76.6

Clothing	74.2

Apparel	74.2

Person	70.3

Meal	69.9

Food	69.9

Female	67.9

Indoors	66.5

Furniture	64.8

Person	64.6

Crowd	63.8

Girl	60.6

Room	59.8

Suit	59.8

Coat	59.8

Overcoat	59.8

Table	57.7

Shorts	56.8

Audience	55.3

Stage	55.2

streetview architecture	84.2%

people portraits	4%

text visuals	3.2%

beaches seaside	2.9%

events parties	2.7%

paintings art	1.3%

Human Generated Data

Title

Untitled (group portrait of boys in ROTC uniforms)

Date

c. 1950

People

Artist: Jack Rodden Studio, American 1914 - 2016

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13699

Human Generated Data

Title

Untitled (group portrait of boys in ROTC uniforms)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13699

Machine Generated Data

Tags

Amazoncreated on 2022-02-04

Clarifaicreated on 2023-10-29

Imaggacreated on 2022-02-04

Googlecreated on 2022-02-04

Microsoftcreated on 2022-02-04

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

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 2022-02-04

Text analysis

Amazon

Google

Amazon
created on 2022-02-04

Clarifai
created on 2023-10-29

Imagga
created on 2022-02-04

Google
created on 2022-02-04

Microsoft
created on 2022-02-04

Microsoft
created on 2022-02-04