AI Data for Untitled (teenagers at fair) | AI Explorer

Unable to open [object Object]: HTTP 0 attempting to load TileSource

Human Generated Data

Title Untitled (teenagers at fair)	Date 1949
People Artist: Hamblin Studio, American active 1930s	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2031

Human Generated Data

Title

Untitled (teenagers at fair)

People

Artist: Hamblin Studio, American active 1930s

Date

1949

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2031

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	21-33
Gender	Female, 61.2%
Calm	59.8%
Happy	29%
Surprised	5.8%
Sad	2.6%
Confused	1.5%
Angry	0.7%
Fear	0.4%
Disgusted	0.3%

Feature analysis

Amazon

Person

Poster

Person	98.3%

Captions

Microsoft
created on 2021-12-14

a group of people standing in front of a building	82.2%

a group of people in front of a building	82.1%

a group of people that are standing in front of a building	72.7%

Text analysis

Amazon

VIRGINIA

WS

HTS

YT37AS

MJIR

MJIR YT37AS ACTHA

ACTHA

Google

MJI7 YT33A

MJI7

YT33A

Person	98.3

Human	98.3

Person	96.7

Person	88.9

Person	88.3

Person	84.6

Person	83.5

Person	82.1

Theme Park	79.7

Amusement Park	79.7

Person	78.6

Person	73

Art	70.3

Crowd	69.9

Female	69.5

Clothing	67.2

Apparel	67.2

Person	62

Person	61.8

Girl	59.6

Poster	56.9

Advertisement	56.9

people	99.5

man	94.9

crowd	94.3

monochrome	93.6

street	93.1

group	92.3

group together	90.5

many	90.1

woman	88.9

adult	88

administration	79.3

illustration	77.8

child	72.9

audience	72.4

family	68.8

wedding	68.6

leader	68

ceremony	67.7

chair	67.2

black and white	66.7

grunge	21.3

drawing	18.7

sketch	18

vintage	15.7

snow	15.4

business	15.2

carousel	15.1

architecture	14.4

city	14.1

ride	14

antique	13.8

building	13.4

travel	13.4

silhouette	13.2

old	12.5

texture	12.5

world	12.5

crowd	12.5

construction	12

aged	11.8

people	11.7

art	11.4

graphic	10.9

graffito	10.4

house	10.3

winter	10.2

representation	9.8

decoration	9.7

black	9.6

urban	9.6

men	9.4

structure	9.4

gymnasium	9.4

earth	9.2

facility	9

dirty	9

group	8.9

wall	8.8

mechanical device	8.5

design	8.4

wallpaper	8.4

landscape	8.2

style	8.2

symbol	8.1

mountain	8

space	7.8

weather	7.5

athletic facility	7.5

man	7.4

negative	7.3

paper	7.1

sky	7

Black	89.5

World	86.9

Black-and-white	85.5

Style	83.9

Font	83.4

Art	81.5

Motor vehicle	79.7

Adaptation	79.2

Tints and shades	77

Monochrome photography	75.1

Monochrome	74.5

Building	74.4

Facade	72.4

Illustration	67.5

Visual arts	67.1

Painting	65.1

Room	64.6

Mural	64.4

Stock photography	63.9

History	63.7

text	98.1

outdoor	97.8

black and white	86.5

cartoon	86.3

person	85

drawing	73.7

Age	23-35
Gender	Male, 52.9%
Happy	84.2%
Calm	8.5%
Confused	4.1%
Sad	1.5%
Surprised	0.8%
Angry	0.3%
Disgusted	0.3%
Fear	0.3%

Age	23-35
Gender	Female, 76.2%
Calm	67.1%
Happy	20.5%
Sad	4.5%
Surprised	4.1%
Confused	1.6%
Angry	1%
Fear	0.8%
Disgusted	0.5%

Age	37-55
Gender	Male, 64.2%
Calm	84.9%
Angry	4.9%
Happy	4.3%
Sad	3.8%
Confused	0.9%
Surprised	0.6%
Disgusted	0.3%
Fear	0.2%

Age	36-54
Gender	Female, 98%
Calm	51.1%
Happy	25.3%
Surprised	8.2%
Sad	4.8%
Angry	3.6%
Fear	3.1%
Confused	3%
Disgusted	1.1%

Age	41-59
Gender	Male, 84.9%
Calm	77%
Happy	16.4%
Sad	2.8%
Angry	1.6%
Confused	0.9%
Surprised	0.7%
Disgusted	0.3%
Fear	0.2%

Age	3-9
Gender	Male, 91.3%
Calm	98%
Sad	1.3%
Happy	0.2%
Confused	0.2%
Surprised	0.1%
Angry	0.1%
Disgusted	0%
Fear	0%

Age	37-55
Gender	Male, 98.2%
Calm	25.7%
Fear	24.1%
Happy	21.5%
Surprised	17.1%
Sad	3.8%
Confused	3%
Disgusted	2.5%
Angry	2.4%

Age	51-69
Gender	Male, 88.1%
Sad	73.3%
Calm	23.9%
Confused	1.2%
Happy	1%
Angry	0.3%
Fear	0.1%
Disgusted	0.1%
Surprised	0.1%

Age	14-26
Gender	Male, 53.5%
Calm	83.5%
Happy	6%
Sad	3.5%
Surprised	3.1%
Angry	2%
Confused	1.1%
Fear	0.5%
Disgusted	0.3%

Age	49-67
Gender	Female, 68.1%
Calm	55.6%
Sad	43.6%
Confused	0.5%
Surprised	0.2%
Happy	0.1%
Angry	0.1%
Fear	0%
Disgusted	0%

Person	96.7%

Person	88.9%

Person	88.3%

Person	84.6%

Age	50-68
Gender	Female, 72.3%
Calm	54.6%
Sad	25.5%
Happy	12.5%
Confused	5.2%
Surprised	0.9%
Angry	0.8%
Disgusted	0.3%
Fear	0.2%

Age	30-46
Gender	Male, 90.1%
Calm	83.8%
Disgusted	6.5%
Surprised	3.9%
Angry	2.3%
Confused	1.4%
Happy	1.2%
Sad	0.7%
Fear	0.3%

Age	52-70
Gender	Male, 84.2%
Sad	48.4%
Calm	30.4%
Confused	13.5%
Fear	2.9%
Happy	2.1%
Surprised	1.5%
Angry	1.1%
Disgusted	0.2%

Age	21-33
Gender	Male, 96.7%
Calm	96.2%
Happy	1.5%
Sad	1.2%
Confused	0.5%
Angry	0.3%
Surprised	0.2%
Disgusted	0.1%
Fear	0.1%

Age	25-39
Gender	Female, 61.3%
Calm	77.8%
Happy	9.2%
Sad	5.7%
Confused	2.6%
Angry	2.3%
Surprised	1%
Fear	0.9%
Disgusted	0.5%

Age	49-67
Gender	Female, 71.9%
Happy	61.1%
Calm	34.4%
Angry	1.9%
Sad	1.3%
Confused	0.4%
Surprised	0.4%
Fear	0.3%
Disgusted	0.2%

Age	26-40
Gender	Male, 90.6%
Happy	78.5%
Calm	20.2%
Sad	0.5%
Angry	0.3%
Confused	0.2%
Surprised	0.2%
Disgusted	0.1%
Fear	0%

Age	50-68
Gender	Female, 90.7%
Sad	84.9%
Calm	12.5%
Happy	0.9%
Confused	0.6%
Angry	0.5%
Fear	0.3%
Disgusted	0.1%
Surprised	0.1%

Human Generated Data

Title

Untitled (teenagers at fair)

Date

1949

People

Artist: Hamblin Studio, American active 1930s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2031

Human Generated Data

Title

Untitled (teenagers at fair)

People

Artist: Hamblin Studio, American active 1930s

Date

1949

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2031

Machine Generated Data

Tags

Amazoncreated on 2021-12-14

Clarifaicreated on 2023-10-25

Imaggacreated on 2021-12-14

Googlecreated on 2021-12-14

Microsoftcreated on 2021-12-14

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2021-12-14

Text analysis

Amazon

Google

Amazon
created on 2021-12-14

Clarifai
created on 2023-10-25

Imagga
created on 2021-12-14

Google
created on 2021-12-14

Microsoft
created on 2021-12-14

Microsoft
created on 2021-12-14