AI Data for Untitled (three contact strips: Cuban revolutionaries in Havana) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	23-33
Gender	Male, 99.9%
Sad	60.2%
Confused	28.8%
Angry	3.3%
Disgusted	3.1%
Surprised	1.9%
Calm	1.2%
Fear	0.8%
Happy	0.6%

AWS Rekognition

Age	23-33
Gender	Male, 97.4%
Calm	88.6%
Confused	5.8%
Fear	2.5%
Sad	1.5%
Angry	0.8%
Happy	0.3%
Disgusted	0.3%
Surprised	0.2%

AWS Rekognition

Age	38-46
Gender	Male, 100%
Calm	91.6%
Fear	2.6%
Sad	2%
Angry	1%
Happy	0.9%
Confused	0.8%
Disgusted	0.6%
Surprised	0.6%

AWS Rekognition

Age	23-33
Gender	Male, 99.7%
Fear	99.7%
Surprised	0.2%
Angry	0%
Happy	0%
Confused	0%
Sad	0%
Calm	0%
Disgusted	0%

AWS Rekognition

Age	31-41
Gender	Male, 99.8%
Calm	92.7%
Happy	2.8%
Sad	1.7%
Angry	0.8%
Disgusted	0.6%
Surprised	0.6%
Confused	0.5%
Fear	0.3%

AWS Rekognition

Age	39-47
Gender	Male, 100%
Calm	42.7%
Angry	26.4%
Sad	21.5%
Fear	3.3%
Confused	1.7%
Surprised	1.7%
Happy	1.6%
Disgusted	1%

AWS Rekognition

Age	21-29
Gender	Male, 95.7%
Calm	93.7%
Sad	4.2%
Confused	0.4%
Fear	0.4%
Angry	0.4%
Disgusted	0.4%
Happy	0.3%
Surprised	0.3%

AWS Rekognition

Age	20-28
Gender	Male, 96.6%
Calm	95.9%
Sad	2%
Confused	0.6%
Disgusted	0.5%
Happy	0.4%
Surprised	0.3%
Angry	0.2%
Fear	0.2%

AWS Rekognition

Age	41-49
Gender	Male, 99.8%
Calm	69.1%
Sad	14.2%
Angry	8.3%
Fear	3.1%
Confused	1.8%
Surprised	1.3%
Happy	1.2%
Disgusted	1%

AWS Rekognition

Age	16-22
Gender	Male, 91.7%
Calm	93.1%
Happy	2.3%
Angry	1.5%
Sad	1.3%
Confused	0.5%
Fear	0.5%
Disgusted	0.5%
Surprised	0.2%

AWS Rekognition

Age	26-36
Gender	Male, 100%
Surprised	35.2%
Calm	21.4%
Angry	12.8%
Fear	12%
Sad	6.2%
Confused	5.7%
Disgusted	4.5%
Happy	2.2%

AWS Rekognition

Age	21-29
Gender	Male, 99.2%
Calm	94%
Happy	2%
Confused	1.5%
Surprised	1.1%
Angry	0.6%
Sad	0.3%
Disgusted	0.3%
Fear	0.2%

AWS Rekognition

Age	11-19
Gender	Male, 100%
Calm	65.5%
Sad	8.5%
Surprised	7.8%
Confused	6.7%
Fear	3.1%
Disgusted	3%
Angry	2.9%
Happy	2.6%

AWS Rekognition

Age	25-35
Gender	Male, 87.1%
Calm	63.8%
Happy	16.1%
Sad	6.2%
Disgusted	4.1%
Angry	3.8%
Surprised	3%
Confused	1.6%
Fear	1.5%

AWS Rekognition

Age	22-30
Gender	Male, 99.7%
Sad	48.5%
Calm	15.6%
Fear	9.9%
Confused	8.1%
Angry	6.3%
Disgusted	6.1%
Happy	3.6%
Surprised	1.9%

AWS Rekognition

Age	16-22
Gender	Male, 95.3%
Calm	38.7%
Surprised	22.6%
Disgusted	13%
Angry	10.9%
Confused	7%
Happy	3%
Fear	2.7%
Sad	2.2%

AWS Rekognition

Age	23-33
Gender	Male, 97.9%
Fear	57%
Calm	25.5%
Sad	9.6%
Confused	3.7%
Angry	2.1%
Surprised	1%
Disgusted	0.6%
Happy	0.6%

AWS Rekognition

Age	16-24
Gender	Female, 81.7%
Fear	34.3%
Sad	30.7%
Calm	23.3%
Confused	3.2%
Angry	2.7%
Surprised	2.6%
Disgusted	2.1%
Happy	1%

AWS Rekognition

Age	11-19
Gender	Male, 93.1%
Calm	43%
Fear	27.6%
Happy	10.6%
Sad	6.3%
Angry	3.7%
Disgusted	3%
Surprised	2.9%
Confused	2.9%

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	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	Possible
Blurred	Very unlikely

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person

Car

Wheel

Person	99.4%

Person	99.1%

Person	98.9%

Person	98.9%

Person	98.2%

Person	97.3%

Person	96.8%

Person	96.2%

Person	91.5%

Person	90.7%

Person	88.9%

Person	88.4%

Person	82.8%

Person	78.3%

Person	76%

Person	73.6%

Person	66.5%

Person	66.4%

Person	60.1%

Car	95.4%

Wheel	73.7%

Captions

Microsoft
created on 2022-02-25

a group of people standing next to a window	56.9%

a group of people standing in front of a window	56%

a group of people in front of a window	55.9%

Text analysis

Amazon

KODAK

FILM

SAFETY

SAFETY FILM

Cod

KODAK S'AFETY FILM

CTY

S'AFETY

G10

SHEETY FILM

SHEETY

EXYT

VILIDE

KETTAS

Google

ETY FI LM KODAK SAFETY FILM SAFETY FILM KODAK SAFETY FILM KODAK SFETY FILM KODAK SAFETY FILM KODAK S'AFETY FILM KODAK S'AFETY FILM KODAK SAFETY FILM KODAK SAFETY FILM KODAK SAFETY FILM KORAK SAETY ELLM SAFETY FILM KODAK SAFETY FILM KODAK KODAK

ETY

KODAK

SAFETY

FILM

SFETY

S'AFETY

KORAK

SAETY

ELLM

Title Untitled (three contact strips: Cuban revolutionaries in Havana)	Date c. 1959, 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, 4.2002.14151

monochrome	99.6

people	99.5

street	98.9

collage	97.4

window	95.8

man	94.8

art	94.3

fashion	94.3

snow	93.8

landscape	93.6

city	93.5

portrait	93.5

woman	93.3

girl	91.5

group	91.5

wear	90.8

winter	89.8

wedding	89.7

many	89.7

slide	89.3

sliding door	85

door	76.7

movable barrier	51.1

barrier	33.8

window	30.5

case	22.4

glass	21

architecture	20.4

old	18.8

obstruction	17

building	16.9

china cabinet	15.8

locker	15.2

interior	15

design	14.6

furniture	12.9

cabinet	12.8

fastener	12.3

religion	11.6

cathedral	11.5

light	11.4

modern	11.2

art	11.1

urban	10.5

texture	10.4

church	10.2

shop	10.1

frame	10.1

historic	10.1

house	10

city	10

business	9.7

decoration	9.4

restraint	9.2

wood	9.2

vintage	9.1

digital	8.9

technology	8.9

pattern	8.9

home	8.8

antique	8.7

stained	8.7

religious	8.4

communication	8.4

aged	8.1

detail	8

computer	8

colorful	7.9

ancient	7.8

windows	7.7

industry	7.7

grunge	7.7

furnishing	7.7

sky	7.6

center	7.6

device	7.5

room	7.5

retro	7.4

history	7.2

indoors	7

Window	90.3

Black	89.7

Black-and-white	85.7

Style	83.9

Line	81.6

Font	79.2

Art	77.3

Tints and shades	77.1

Monochrome photography	76.9

Monochrome	74.7

Room	71.6

Facade	69.8

Glass	66.7

Stock photography	65.1

Rectangle	62.9

Visual arts	59.5

Photographic paper	59.2

Metal	57.4

Collage	56.8

text	90.4

screenshot	79.1

poster	73.1

black and white	70.3

billboard	64.5

several	11.7

Collage	100

Advertisement	100

Poster	100

Person	99.4

Human	99.4

Person	99.1

Person	98.9

Person	98.9

Person	98.2

Person	97.3

Person	96.8

Person	96.2

Car	95.4

Transportation	95.4

Vehicle	95.4

Automobile	95.4

Person	91.5

Person	90.7

Person	88.9

Person	88.4

Person	82.8

Person	78.3

Person	76

Wheel	73.7

Machine	73.7

Person	73.6

Person	66.5

Person	66.4

Furniture	63.2

Person	60.1

Head	57.1

Brick	55.3

streetview architecture	40.2%

paintings art	30%

text visuals	29.3%

Human Generated Data

Title

Untitled (three contact strips: Cuban revolutionaries in Havana)

Date

c. 1959, 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, 4.2002.14151

Human Generated Data

Title

Untitled (three contact strips: Cuban revolutionaries in Havana)

People

Artist: Lester Cole, American

Date

c. 1959, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.14151

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

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 2022-02-25

Text analysis

Amazon

Google

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