AI Data for Untitled (twelve photographs: Cuban revolutionaries, with guns and in meetings) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	47-53
Gender	Female, 95.3%
Calm	98.7%
Happy	0.3%
Angry	0.2%
Fear	0.2%
Confused	0.2%
Sad	0.1%
Surprised	0.1%
Disgusted	0.1%

AWS Rekognition

Age	51-59
Gender	Female, 98.3%
Happy	99.9%
Surprised	0%
Sad	0%
Calm	0%
Angry	0%
Fear	0%
Disgusted	0%
Confused	0%

AWS Rekognition

Age	23-31
Gender	Male, 93.3%
Calm	98.3%
Fear	0.9%
Sad	0.4%
Angry	0.1%
Confused	0.1%
Surprised	0.1%
Happy	0%
Disgusted	0%

AWS Rekognition

Age	23-31
Gender	Male, 99.8%
Calm	71.7%
Fear	13.9%
Sad	6.2%
Confused	3.8%
Angry	1.4%
Surprised	1.3%
Disgusted	1.1%
Happy	0.6%

AWS Rekognition

Age	25-35
Gender	Male, 93.7%
Sad	46.4%
Confused	34.2%
Calm	8.9%
Fear	3.9%
Surprised	2.1%
Disgusted	2%
Angry	1.7%
Happy	0.7%

AWS Rekognition

Age	35-43
Gender	Female, 56.5%
Happy	99%
Calm	0.7%
Confused	0.1%
Surprised	0.1%
Disgusted	0.1%
Sad	0%
Fear	0%
Angry	0%

AWS Rekognition

Age	54-62
Gender	Male, 100%
Happy	82.2%
Calm	11%
Sad	4.4%
Fear	1%
Angry	0.5%
Confused	0.4%
Surprised	0.3%
Disgusted	0.3%

AWS Rekognition

Age	30-40
Gender	Female, 100%
Happy	83.2%
Calm	6.4%
Surprised	3%
Sad	1.9%
Angry	1.8%
Fear	1.6%
Confused	1.5%
Disgusted	0.7%

AWS Rekognition

Age	23-31
Gender	Male, 84.7%
Calm	91.7%
Disgusted	3.9%
Surprised	1.4%
Angry	0.9%
Sad	0.7%
Fear	0.6%
Confused	0.5%
Happy	0.3%

AWS Rekognition

Age	23-33
Gender	Female, 72.6%
Calm	99.8%
Happy	0.1%
Confused	0%
Surprised	0%
Angry	0%
Disgusted	0%
Fear	0%
Sad	0%

AWS Rekognition

Age	45-53
Gender	Female, 99.9%
Happy	98.8%
Calm	0.7%
Surprised	0.1%
Sad	0.1%
Angry	0.1%
Disgusted	0.1%
Confused	0%
Fear	0%

AWS Rekognition

Age	21-29
Gender	Male, 100%
Calm	98.2%
Sad	1.2%
Disgusted	0.2%
Fear	0.1%
Confused	0.1%
Angry	0.1%
Surprised	0.1%
Happy	0%

AWS Rekognition

Age	19-27
Gender	Male, 86.1%
Calm	84.8%
Confused	5.8%
Fear	4.6%
Angry	1.5%
Sad	1.5%
Surprised	0.7%
Disgusted	0.6%
Happy	0.5%

AWS Rekognition

Age	26-36
Gender	Male, 100%
Calm	98.6%
Confused	0.8%
Surprised	0.1%
Happy	0.1%
Sad	0.1%
Angry	0.1%
Disgusted	0.1%
Fear	0%

AWS Rekognition

Age	22-30
Gender	Female, 53.7%
Calm	92.6%
Surprised	3.5%
Sad	1.6%
Angry	0.8%
Fear	0.5%
Disgusted	0.4%
Confused	0.4%
Happy	0.2%

AWS Rekognition

Age	63-73
Gender	Male, 99.9%
Happy	98.4%
Calm	1%
Confused	0.3%
Disgusted	0.1%
Surprised	0.1%
Sad	0.1%
Fear	0.1%
Angry	0%

AWS Rekognition

Age	21-29
Gender	Male, 96.5%
Sad	69.1%
Calm	19.9%
Confused	3%
Surprised	2.4%
Happy	2.2%
Fear	1.9%
Angry	1%
Disgusted	0.5%

AWS Rekognition

Age	19-27
Gender	Male, 53.4%
Calm	98.7%
Sad	0.4%
Disgusted	0.3%
Fear	0.2%
Confused	0.1%
Happy	0.1%
Angry	0.1%
Surprised	0.1%

AWS Rekognition

Age	49-57
Gender	Female, 98.4%
Happy	99%
Calm	0.6%
Fear	0.1%
Surprised	0.1%
Disgusted	0.1%
Sad	0.1%
Confused	0%
Angry	0%

AWS Rekognition

Age	16-24
Gender	Male, 97.5%
Fear	49.2%
Calm	20.5%
Sad	19.4%
Happy	4.5%
Disgusted	3%
Surprised	1.5%
Angry	1.3%
Confused	0.6%

AWS Rekognition

Age	23-31
Gender	Male, 99%
Calm	70.6%
Sad	16.3%
Fear	10.1%
Confused	0.9%
Angry	0.7%
Happy	0.6%
Disgusted	0.4%
Surprised	0.4%

AWS Rekognition

Age	23-31
Gender	Male, 100%
Calm	93.8%
Confused	1.9%
Happy	1.4%
Sad	0.9%
Surprised	0.8%
Disgusted	0.6%
Angry	0.4%
Fear	0.1%

AWS Rekognition

Age	21-29
Gender	Male, 99.4%
Sad	58.3%
Calm	28.4%
Happy	7.8%
Surprised	1.7%
Confused	1.3%
Fear	0.9%
Disgusted	0.8%
Angry	0.8%

AWS Rekognition

Age	22-30
Gender	Male, 99.9%
Calm	75.7%
Surprised	12.4%
Confused	5.8%
Angry	2.8%
Sad	1.5%
Happy	0.8%
Disgusted	0.8%
Fear	0.4%

AWS Rekognition

Age	21-29
Gender	Female, 55.2%
Calm	73.5%
Fear	16.9%
Happy	4%
Sad	1.7%
Surprised	1.4%
Confused	1.1%
Angry	0.9%
Disgusted	0.5%

AWS Rekognition

Age	18-26
Gender	Male, 96.8%
Calm	95.7%
Sad	1.1%
Disgusted	1%
Confused	0.6%
Angry	0.4%
Happy	0.4%
Fear	0.4%
Surprised	0.3%

AWS Rekognition

Age	23-33
Gender	Male, 99.6%
Calm	96.1%
Disgusted	0.9%
Confused	0.8%
Sad	0.7%
Fear	0.4%
Happy	0.4%
Surprised	0.3%
Angry	0.2%

AWS Rekognition

Age	14-22
Gender	Male, 86.7%
Calm	46.3%
Sad	34%
Fear	7.8%
Confused	4.7%
Surprised	2.2%
Angry	2.1%
Happy	1.5%
Disgusted	1.4%

AWS Rekognition

Age	20-28
Gender	Female, 77.9%
Calm	91.1%
Sad	6.3%
Happy	1.8%
Fear	0.4%
Confused	0.2%
Disgusted	0.1%
Angry	0.1%
Surprised	0.1%

AWS Rekognition

Age	24-34
Gender	Male, 97.3%
Calm	84.5%
Fear	12%
Happy	1.1%
Confused	0.7%
Sad	0.6%
Disgusted	0.5%
Surprised	0.4%
Angry	0.2%

AWS Rekognition

Age	22-30
Gender	Female, 57.8%
Calm	91.9%
Happy	6.3%
Sad	0.9%
Surprised	0.3%
Disgusted	0.2%
Fear	0.2%
Confused	0.1%
Angry	0.1%

AWS Rekognition

Age	10-18
Gender	Male, 99.9%
Surprised	34.1%
Calm	27.7%
Fear	12.9%
Confused	10%
Angry	5.9%
Disgusted	4%
Happy	3.2%
Sad	2.3%

AWS Rekognition

Age	13-21
Gender	Female, 52.1%
Calm	94.4%
Sad	3.5%
Disgusted	0.6%
Confused	0.5%
Angry	0.4%
Happy	0.2%
Fear	0.2%
Surprised	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 100%
Calm	92.9%
Confused	4%
Angry	0.9%
Happy	0.7%
Sad	0.5%
Surprised	0.5%
Disgusted	0.3%
Fear	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 99.9%
Calm	99.9%
Confused	0%
Surprised	0%
Angry	0%
Disgusted	0%
Sad	0%
Happy	0%
Fear	0%

AWS Rekognition

Age	21-29
Gender	Male, 97.7%
Calm	50.6%
Sad	30.2%
Happy	5.1%
Fear	4%
Surprised	3.7%
Disgusted	2.7%
Angry	2.2%
Confused	1.4%

AWS Rekognition

Age	16-24
Gender	Female, 62%
Calm	51.9%
Sad	37.7%
Confused	3.2%
Surprised	2.3%
Angry	1.9%
Disgusted	1.3%
Fear	1.1%
Happy	0.7%

AWS Rekognition

Age	14-22
Gender	Male, 100%
Calm	97.9%
Angry	0.8%
Confused	0.7%
Happy	0.3%
Sad	0.1%
Surprised	0.1%
Disgusted	0.1%
Fear	0%

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Likely
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	Likely

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 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	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	Possible

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

Feature analysis

Amazon

Person

Wheel

Car

Poster

Person	98.2%

Person	97.5%

Person	95.6%

Person	92.9%

Person	85.9%

Person	79.8%

Person	78.2%

Person	75.5%

Person	74.6%

Person	70.5%

Person	64.6%

Person	63.4%

Person	61.9%

Person	59.5%

Person	54.2%

Person	47.4%

Person	46.4%

Wheel	82.8%

Wheel	63.4%

Car	57.8%

Poster	54.8%

Captions

Microsoft
created on 2022-02-25

a group of people posing for a photo in front of a window	59%

a group of men posing for a photo in front of a window	43.8%

a group of women posing for a photo in front of a window	40.8%

Text analysis

Amazon

FILM

KODAK

SAFETY

THE

AFETY

SAFETY FILM

AFETY FILM

SOLEDAD

CENTRAL SOLEDAD

CENTRAL

G10

RODAR SAFETY FILM

RODAR

LACK

THEIR

Gutits

Gutits SE m Move

1/2 HR.

ها

THEIR Luccace

FLIGHTS

U.S.EMPLASSY

Move

THE offhac DEPARTIVE Not -

MORE FLIGHTS Titbay HOME REPUBLIC

LACK FAT NO rula US

OF U.S.EMPLASSY

DEPARTIVE

Titbay

FAT

745

HOME

rula

REPUBLIC

CALEFREARERA

are

STANTEN are

STANTEN

Luccace

offhac

Not

Google

2) O US.EM THER KUCe: Movewn THEA CENTRAL SOLEDAD KODAR SAFETY

US.EM

THER

KUCe:

Movewn

THEA

CENTRAL

SOLEDAD

KODAR

SAFETY

Title Untitled (twelve photographs: Cuban revolutionaries, with guns and in meetings)	Date c. 1950, printed later
People Artist: Lester Cole, American	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12249

street	99.1

people	98.6

snow	97.7

art	97.6

monochrome	97.6

landscape	97.4

winter	96.8

portrait	96.7

collage	96.4

city	95.6

bill	94.4

fashion	94.2

graffiti	94.2

window	94

urban	93.6

travel	93.3

cat	91.9

man	91

woman	90.9

stock	90.3

sliding door	54.5

door	52.4

window	40

movable barrier	32.7

barrier	21.7

framework	18.9

old	18.8

glass	16.4

design	16.4

architecture	16.4

vending machine	15.9

shop	15.3

house	15

building	14.2

texture	13.9

art	13.6

religion	13.4

case	13

supporting structure	12.9

home	12.7

slot machine	12.7

black	12.6

frame	11.6

history	11.6

vintage	11.6

wall	11.1

grunge	11

obstruction	11

interior	10.6

ancient	10.4

religious	10.3

pattern	10.2

church	10.2

machine	10

mercantile establishment	9.9

cathedral	9.7

style	9.6

stained	9.6

screen	9.5

light	9.3

retro	9

device	8.9

structure	8.8

decoration	8.8

antique	8.6

paper	8.6

comic book	8.4

historic	8.2

detail	8

toyshop	7.8

modern	7.7

wood	7.5

city	7.5

outdoors	7.5

room	7.3

rough	7.3

collection	7.2

travel	7

Photograph	94.2

White	92.2

Window	91.7

Black	89.8

Black-and-white	85.2

Art	84.8

Style	83.9

Font	82.7

Line	82

Motor vehicle	81.5

Tints and shades	76.8

Automotive design	75.1

Snapshot	74.3

Monochrome	74

Monochrome photography	73.6

Rectangle	72.6

Poster	72.3

Tire	71.2

Visual arts	70.1

Design	68.6

poster	90

cartoon	87.9

bunch	62.6

person	57.5

window	44.2

several	12.8

Collage	100

Advertisement	100

Person	98.2

Human	98.2

Person	97.5

Person	95.6

Person	92.9

Person	85.9

Wheel	82.8

Machine	82.8

Person	79.8

Person	78.2

Person	75.5

Person	74.6

Person	70.5

Person	64.6

Wheel	63.4

Person	63.4

Text	62.9

Person	61.9

Person	59.5

Silhouette	57.9

Car	57.8

Transportation	57.8

Vehicle	57.8

Automobile	57.8

Bicycle	55

Bike	55

Poster	54.8

Person	54.2

Person	47.4

Person	46.4

Human Generated Data

Title

Untitled (twelve photographs: Cuban revolutionaries, with guns and in meetings)

Date

c. 1950, printed later

People

Artist: Lester Cole, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12249

Human Generated Data

Title

Untitled (twelve photographs: Cuban revolutionaries, with guns and in meetings)

People

Artist: Lester Cole, American

Date

c. 1950, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12249

Machine Generated Data

Tags

Amazoncreated on 2022-02-25

Clarifaicreated on 2023-10-22

Imaggacreated on 2022-02-25

Googlecreated on 2022-02-25

Microsoftcreated on 2022-02-25

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

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

Amazon
created on 2022-02-25

Clarifai
created on 2023-10-22

Imagga
created on 2022-02-25

Google
created on 2022-02-25

Microsoft
created on 2022-02-25

Microsoft
created on 2022-02-25