AI Data for Untitled (men sitting on couches, drinking) | AI Explorer

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Human Generated Data

Title Untitled (men sitting on couches, drinking)	Date c. 1950
People Artist: Lainson Studios,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.21865.1

Human Generated Data

Title

Untitled (men sitting on couches, drinking)

People

Artist: Lainson Studios,

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, 4.2002.21865.1

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	9-19
Gender	Male, 76.4%
Sad	59.9%
Disgusted	0.2%
Fear	1.9%
Angry	0.8%
Happy	0.2%
Surprised	0.8%
Calm	33.7%
Confused	2.5%

Feature analysis

Amazon

Person

Person	99.5%

Captions

Microsoft
created on 2019-11-16

a group of people around each other	70.1%

a group of people in a room	70%

a group of people playing instruments and performing on a stage	47.1%

Text analysis

Amazon

-YT33A'2

uns

Google

MJIRI--YTEA -NAC

MJIRI--YTEA

-NAC

Human	99.5

Person	99.5

Person	99

Person	99

Person	98.9

Person	98.4

Person	98

Person	97.9

Person	91.6

Person	88.7

Flooring	79.4

Art	75

Apparel	70.2

Clothing	70.2

People	65.3

Food	61.2

Meal	61.2

Figurine	59.1

Leisure Activities	58.2

Floor	57.4

Text	57.3

people	99.7

group together	98.8

group	98.7

many	96.7

child	96.2

music	93.4

man	92.9

adult	92.8

wear	92.3

recreation	91.7

woman	91.4

musician	88.9

dancing	86.8

chair	86.5

sit	84.3

boy	84

administration	82.2

furniture	81.7

retro	79.3

room	77.6

man	27.5

musical instrument	26.3

silhouette	25.6

people	25.1

male	19.9

wind instrument	19.8

sunset	19.8

person	19.6

men	18.9

group	18.5

adult	14.6

life	14.1

couple	13.9

beach	13.5

brass	13.3

sax	13

device	12.7

sky	12.1

together	11.4

outdoor	10.7

women	10.3

love	10.3

room	10.2

teenager	10

happy	10

dark	10

protection	10

business	9.7

boy	9.6

accordion	9.4

leisure	9.1

black	9

fun	9

outdoors	9

percussion instrument	8.8

child	8.7

crowd	8.6

happiness	8.6

friendship	8.4

portrait	8.4

summer	8.4

old	8.4

ocean	8.3

keyboard instrument	8.2

team	8.1

activity	8.1

sun	8

light	8

sport	8

family	8

businessman	7.9

stage	7.9

destruction	7.8

sea	7.8

nuclear	7.8

bassoon	7.7

youth	7.7

dusk	7.6

hand	7.6

human	7.5

landscape	7.4

holding	7.4

active	7.4

music	7.4

teen	7.3

girls	7.3

marimba	7.3

classroom	7.2

lifestyle	7.2

romantic	7.1

day	7.1

Photograph	96.7

Snapshot	86.2

Adaptation	67

Stock photography	66.6

Art	62.5

Photography	62.4

Picture frame	53.9

text	98.3

person	97

clothing	91.9

man	64.3

footwear	61.2

crowd	0.5

Age	22-34
Gender	Female, 60.7%
Fear	1.9%
Angry	13.2%
Calm	61.6%
Happy	9%
Sad	2.9%
Disgusted	2.8%
Confused	1.3%
Surprised	7.3%

Age	22-34
Gender	Male, 69.6%
Sad	4.1%
Disgusted	0.1%
Surprised	0.2%
Happy	3.3%
Angry	0.3%
Fear	0.2%
Confused	0.2%
Calm	91.6%

Age	23-35
Gender	Male, 86.3%
Sad	0.1%
Calm	99.8%
Angry	0%
Fear	0%
Happy	0%
Surprised	0.1%
Disgusted	0%
Confused	0%

Age	22-34
Gender	Male, 51.9%
Angry	1.2%
Fear	0.6%
Calm	80%
Sad	9%
Disgusted	0.4%
Happy	7.8%
Confused	0.5%
Surprised	0.5%

Age	61-77
Gender	Female, 50.1%
Disgusted	49.6%
Angry	49.6%
Calm	49.6%
Surprised	49.5%
Sad	49.8%
Confused	49.9%
Fear	49.5%
Happy	49.5%

Age	22-34
Gender	Male, 92%
Happy	16.7%
Confused	0.4%
Calm	72.8%
Angry	1.8%
Disgusted	0.7%
Surprised	3.9%
Fear	0.6%
Sad	3.2%

Age	39-57
Gender	Female, 86.6%
Fear	1.5%
Angry	1.3%
Sad	24%
Happy	2.8%
Calm	67.8%
Confused	0.7%
Surprised	1.1%
Disgusted	0.6%

Age	4-14
Gender	Male, 50.4%
Calm	49.6%
Happy	49.5%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Sad	50.3%
Confused	49.5%

Age	46-64
Gender	Female, 50.1%
Fear	49.8%
Sad	49.6%
Disgusted	49.5%
Surprised	49.6%
Calm	49.7%
Happy	49.6%
Angry	49.6%
Confused	49.5%

Age	32-48
Gender	Male, 50.2%
Happy	49.5%
Surprised	49.5%
Angry	49.5%
Fear	49.5%
Sad	49.9%
Confused	49.5%
Calm	50%
Disgusted	49.5%

Person	99%

Person	99%

Person	98.9%

Person	98.4%

Age	44-62
Gender	Male, 50.2%
Confused	49.6%
Surprised	49.7%
Fear	49.5%
Happy	49.5%
Disgusted	49.5%
Angry	49.6%
Sad	50%
Calm	49.6%

Age	47-65
Gender	Male, 50.4%
Fear	49.5%
Surprised	49.5%
Angry	49.6%
Calm	49.8%
Sad	50.1%
Happy	49.5%
Disgusted	49.5%
Confused	49.5%

Age	26-40
Gender	Male, 50.5%
Disgusted	49.5%
Happy	49.5%
Angry	49.8%
Fear	49.5%
Calm	49.7%
Confused	49.5%
Surprised	49.5%
Sad	49.9%

Age	24-38
Gender	Female, 50.2%
Sad	49.6%
Calm	50%
Happy	49.7%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%
Angry	49.5%
Fear	49.5%

Age	41-59
Gender	Male, 50.3%
Angry	49.5%
Calm	49.9%
Surprised	49.5%
Confused	49.5%
Disgusted	49.5%
Happy	49.5%
Sad	50.1%
Fear	49.5%

Age	20-32
Gender	Male, 50%
Calm	50.1%
Sad	49.7%
Fear	49.5%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%
Happy	49.5%
Angry	49.6%

Age	40-58
Gender	Male, 50%
Fear	49.5%
Calm	50%
Happy	49.8%
Surprised	49.5%
Angry	49.6%
Sad	49.5%
Disgusted	49.6%
Confused	49.5%

Age	14-26
Gender	Male, 50.2%
Disgusted	49.5%
Happy	49.5%
Surprised	49.5%
Sad	49.8%
Fear	49.5%
Calm	49.7%
Angry	49.9%
Confused	49.5%

Age	16-28
Gender	Male, 50.1%
Fear	49.5%
Angry	49.6%
Calm	50.2%
Surprised	49.6%
Happy	49.5%
Confused	49.5%
Sad	49.6%
Disgusted	49.5%

paintings art	73.1%

streetview architecture	15.2%

interior objects	8.3%

nature landscape	1.7%

Human Generated Data

Title

Untitled (men sitting on couches, drinking)

Date

c. 1950

People

Artist: Lainson Studios,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.21865.1

Human Generated Data

Title

Untitled (men sitting on couches, drinking)

People

Artist: Lainson Studios,

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, 4.2002.21865.1

Machine Generated Data

Tags

Amazoncreated on 2019-11-16

Clarifaicreated on 2019-11-16

Imaggacreated on 2019-11-16

Googlecreated on 2019-11-16

Microsoftcreated on 2019-11-16

Color Analysis

Face analysis

Amazon

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-11-16

Text analysis

Amazon

Google

Amazon
created on 2019-11-16

Clarifai
created on 2019-11-16

Imagga
created on 2019-11-16

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

Microsoft
created on 2019-11-16