AI Data for Untitled (large group of cadets in uniform posing in front of military institute) | AI Explorer

AWS Rekognition

Age	27-37
Gender	Female, 55.4%
Sad	43%
Calm	27.6%
Confused	23.6%
Disgusted	1.9%
Angry	1.8%
Happy	0.9%
Surprised	0.8%
Fear	0.3%

AWS Rekognition

Age	23-31
Gender	Male, 99.2%
Calm	92.4%
Sad	1.7%
Happy	1.7%
Confused	1.6%
Angry	1.2%
Disgusted	0.7%
Fear	0.4%
Surprised	0.3%

AWS Rekognition

Age	30-40
Gender	Male, 97.7%
Happy	85%
Sad	6.4%
Calm	3.9%
Disgusted	1.6%
Angry	1%
Confused	0.9%
Fear	0.9%
Surprised	0.4%

AWS Rekognition

Age	25-35
Gender	Male, 99.7%
Happy	75.8%
Calm	17.2%
Sad	1.8%
Angry	1.5%
Fear	1.4%
Disgusted	1.2%
Surprised	0.8%
Confused	0.2%

AWS Rekognition

Age	7-17
Gender	Male, 94.5%
Sad	85%
Calm	6.2%
Fear	3.3%
Disgusted	2.3%
Happy	1.4%
Angry	0.9%
Surprised	0.5%
Confused	0.3%

AWS Rekognition

Age	23-31
Gender	Female, 92.4%
Calm	98.4%
Happy	0.5%
Disgusted	0.4%
Angry	0.3%
Surprised	0.1%
Sad	0.1%
Fear	0.1%
Confused	0.1%

AWS Rekognition

Age	23-31
Gender	Female, 58.4%
Happy	75.1%
Calm	12.8%
Sad	4.6%
Disgusted	2.8%
Fear	1.4%
Confused	1.1%
Angry	1.1%
Surprised	1%

AWS Rekognition

Age	39-47
Gender	Male, 99.8%
Calm	85.7%
Happy	13%
Sad	0.7%
Disgusted	0.1%
Angry	0.1%
Surprised	0.1%
Confused	0.1%
Fear	0.1%

AWS Rekognition

Age	37-45
Gender	Male, 99.7%
Calm	25.7%
Angry	23%
Disgusted	18.9%
Surprised	10%
Happy	9.9%
Confused	9%
Sad	1.8%
Fear	1.6%

AWS Rekognition

Age	29-39
Gender	Male, 60.8%
Calm	95.8%
Angry	1.5%
Sad	0.6%
Confused	0.6%
Surprised	0.5%
Fear	0.4%
Happy	0.4%
Disgusted	0.4%

AWS Rekognition

Age	33-41
Gender	Male, 88.5%
Happy	95.3%
Calm	2.2%
Sad	0.7%
Fear	0.5%
Surprised	0.5%
Confused	0.4%
Disgusted	0.3%
Angry	0.2%

AWS Rekognition

Age	29-39
Gender	Male, 88.4%
Calm	61.7%
Happy	35.3%
Sad	0.7%
Disgusted	0.6%
Surprised	0.6%
Angry	0.5%
Confused	0.4%
Fear	0.2%

AWS Rekognition

Age	36-44
Gender	Male, 76.1%
Happy	44.3%
Calm	43.2%
Sad	4.4%
Confused	3.3%
Angry	1.5%
Disgusted	1.5%
Surprised	1%
Fear	0.8%

AWS Rekognition

Age	31-41
Gender	Male, 99.9%
Calm	94.7%
Fear	1.3%
Angry	1.2%
Sad	1.1%
Confused	0.8%
Happy	0.6%
Disgusted	0.2%
Surprised	0.1%

AWS Rekognition

Age	24-34
Gender	Male, 91%
Happy	87.5%
Sad	7.4%
Calm	2.3%
Angry	1%
Fear	0.6%
Disgusted	0.6%
Surprised	0.5%
Confused	0.2%

AWS Rekognition

Age	35-43
Gender	Male, 99.9%
Happy	70.1%
Sad	10%
Calm	9.7%
Fear	3.3%
Angry	3.1%
Confused	1.6%
Disgusted	1.3%
Surprised	0.9%

AWS Rekognition

Age	31-41
Gender	Male, 87.9%
Sad	96.6%
Calm	1.5%
Confused	0.7%
Angry	0.3%
Happy	0.3%
Fear	0.3%
Disgusted	0.2%
Surprised	0.1%

AWS Rekognition

Age	42-50
Gender	Male, 98.6%
Calm	68.8%
Happy	24.3%
Sad	3%
Confused	1.4%
Angry	0.9%
Disgusted	0.7%
Surprised	0.6%
Fear	0.3%

AWS Rekognition

Age	27-37
Gender	Male, 65.8%
Calm	97%
Surprised	1.3%
Angry	0.6%
Disgusted	0.5%
Confused	0.3%
Happy	0.2%
Fear	0%
Sad	0%

AWS Rekognition

Age	18-24
Gender	Male, 86.6%
Happy	81.3%
Calm	15.6%
Angry	1.9%
Sad	0.5%
Disgusted	0.2%
Confused	0.2%
Fear	0.2%
Surprised	0.1%

AWS Rekognition

Age	37-45
Gender	Male, 98.2%
Calm	99.7%
Happy	0.1%
Sad	0%
Confused	0%
Surprised	0%
Disgusted	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	27-37
Gender	Female, 75.2%
Calm	100%
Angry	0%
Happy	0%
Surprised	0%
Disgusted	0%
Confused	0%
Sad	0%
Fear	0%

AWS Rekognition

Age	24-34
Gender	Female, 64.3%
Calm	97.4%
Happy	0.6%
Disgusted	0.4%
Confused	0.4%
Sad	0.4%
Angry	0.3%
Surprised	0.3%
Fear	0.2%

AWS Rekognition

Age	26-36
Gender	Male, 95.8%
Calm	85.3%
Sad	9.6%
Happy	2.8%
Disgusted	0.7%
Fear	0.6%
Angry	0.4%
Confused	0.3%
Surprised	0.3%

AWS Rekognition

Age	12-20
Gender	Male, 98.4%
Calm	98.9%
Disgusted	1%
Sad	0.1%
Happy	0%
Surprised	0%
Confused	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	27-37
Gender	Male, 95.5%
Calm	81.5%
Sad	14.8%
Happy	1.5%
Angry	1.4%
Disgusted	0.3%
Fear	0.3%
Confused	0.1%
Surprised	0.1%

AWS Rekognition

Age	27-37
Gender	Male, 84.2%
Calm	71.3%
Happy	12.5%
Sad	9.3%
Confused	2.6%
Surprised	1.7%
Angry	1.2%
Disgusted	1%
Fear	0.5%

AWS Rekognition

Age	40-48
Gender	Male, 96.1%
Fear	32.1%
Happy	30.5%
Angry	12.2%
Calm	9.7%
Confused	4.9%
Sad	4.6%
Surprised	4.1%
Disgusted	2%

AWS Rekognition

Age	31-41
Gender	Female, 84.2%
Calm	72.9%
Fear	21.4%
Sad	1.9%
Surprised	1.2%
Angry	0.9%
Happy	0.7%
Confused	0.6%
Disgusted	0.5%

AWS Rekognition

Age	24-34
Gender	Male, 97.3%
Calm	89%
Sad	4.1%
Happy	3.4%
Angry	1.3%
Disgusted	0.8%
Confused	0.7%
Fear	0.4%
Surprised	0.3%

AWS Rekognition

Age	34-42
Gender	Female, 63.6%
Happy	78.7%
Sad	5.4%
Angry	4.2%
Disgusted	4%
Calm	2.2%
Fear	2.1%
Confused	1.9%
Surprised	1.4%

AWS Rekognition

Age	22-30
Gender	Male, 97%
Calm	87.1%
Sad	5.2%
Angry	2.6%
Happy	1.6%
Disgusted	1.5%
Confused	1.2%
Surprised	0.6%
Fear	0.2%

Title Untitled (large group of cadets in uniform posing in front of military institute)	Date 1944
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, 4.2002.13477

Human	98.8

Person	98.2

Military	98.1

Military Uniform	98

People	97.8

Troop	95.3

Army	95.3

Armored	95.3

Person	93.4

Person	92.4

Person	91.3

Crowd	87.1

Person	86.9

Person	85.6

Person	80.5

Person	78.8

Person	78.5

Soldier	74.9

Painting	72.3

Art	72.3

Person	67.5

Officer	63

Marching	61.6

Person	61.5

Clothing	56.4

Apparel	56.4

Person	45.9

people	99.9

group	98.5

adult	98.4

man	96.1

print	94.5

group together	94

child	92.7

home	92.7

many	92.6

street	91.9

art	91.4

war	91.3

monochrome	90.1

one	89.8

cemetery	89.6

woman	88.9

vintage	88.6

military	87

building	86.9

soldier	86.6

blackboard	100

grunge	40

vintage	32.3

old	32.1

texture	28.5

antique	27.7

snow	26.9

retro	23.8

aged	22.6

grungy	21.8

dirty	20.8

wall	20.2

frame	20

rough	19.1

pattern	17.8

art	16.9

design	16.9

black	15.6

ancient	15.6

paint	15.4

border	15.4

wallpaper	15.3

weathered	15.2

paper	14.9

landscape	14.9

structure	14.7

empty	14.6

building	14.1

architecture	14.1

damaged	13.4

city	13.3

text	13.1

grain	12.9

blank	12.9

weather	12.7

brown	12.5

stained	12.5

aging	12.5

space	12.4

worn	12.4

textured	12.3

decoration	11.9

messy	11.6

screen	11.5

rusty	11.4

color	11.1

graphic	10.9

rust	10.6

surface	10.6

stain	10.6

canvas	10.4

style	10.4

winter	10.2

tree	10

dirt	9.5

old fashioned	9.5

cold	9.5

season	9.4

travel	9.2

rural	8.8

scratch	8.8

torn	8.7

artistic	8.7

rustic	8.6

parchment	8.6

spot	8.6

obsolete	8.6

house	8.4

backgrounds	8.1

digital	8.1

history	8.1

material	8

trees	8

cool	8

forest	7.8

burnt	7.8

nobody	7.8

sepia	7.8

decay	7.7

collage	7.7

edge	7.7

great	7.7

window screen	7.6

dark	7.5

Adaptation	79.2

Tints and shades	76.7

Rectangle	76.3

Tree	75

Font	73.8

Art	71.9

Plant	71.1

Monochrome	70

Monochrome photography	69.9

Room	69.9

History	66

Visual arts	63.7

Paper product	63.7

Collection	56.5

streetview architecture	63.8%

interior objects	25.6%

paintings art	8%

nature landscape	1.7%

a vintage photo of a group of people standing in front of a building	82.5%

a vintage photo of a group of people in front of a building	82.4%

a vintage photo of some people that are standing in front of a building	77.7%

text	91.1

old	60.2

Person	93.4%

Human Generated Data

Title

Untitled (large group of cadets in uniform posing in front of military institute)

Date

1944

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, 4.2002.13477

Human Generated Data

Title

Untitled (large group of cadets in uniform posing in front of military institute)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

1944

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13477

Machine Generated Data

Tags

Amazoncreated on 2022-01-30

Clarifaicreated on 2023-10-27

Imaggacreated on 2022-01-30

Googlecreated on 2022-01-30

Microsoftcreated on 2022-01-30

Color Analysis

Face analysis

Amazon

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Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2022-01-30

Text analysis

Amazon

Amazon
created on 2022-01-30

Clarifai
created on 2023-10-27

Imagga
created on 2022-01-30

Google
created on 2022-01-30

Microsoft
created on 2022-01-30

Microsoft
created on 2022-01-30