AI Data for Untitled (large group in snow with snow shoes, outside bus) | AI Explorer

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Human Generated Data

Title Untitled (large group in snow with snow shoes, outside bus)	Date c. 1935, printed later
People Artist: Durette Studio, American 20th century	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Human Generated Data

Title

Untitled (large group in snow with snow shoes, outside bus)

People

Artist: Durette Studio, American 20th century

Date

c. 1935, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	48-68
Gender	Male, 54.9%
Confused	45.2%
Happy	45.4%
Angry	45.7%
Surprised	45.1%
Calm	52.4%
Disgusted	45.2%
Sad	45.8%

Feature analysis

Amazon

Person

Wedding Cake

Horse

Person	99%

Captions

Microsoft
created on 2019-05-30

an old photo of a group of people posing for the camera	78%

a group of people posing for a photo	77.7%

an old photo of a group of people posing for a picture	77.6%

Text analysis

Amazon

AND

Google

AND

Person	99

Human	99

Person	98.1

Dessert	97.4

Cake	97.4

Food	97.4

Person	95.3

Clothing	92.4

Apparel	92.4

Person	88.6

Person	84.2

Person	79.7

Person	79.3

Person	77.3

Wedding Cake	74

Person	62.3

Person	60.1

Fashion	60

Gown	60

Robe	59.6

Person	58.2

Mammal	55.6

Animal	55.6

Horse	55.6

people	99.6

many	96.9

group	96.5

adult	95.9

man	94.7

group together	94.6

wear	91.5

snow	86.6

woman	84.3

several	81.8

military	80.8

one	80.7

leader	80.2

winter	80

war	77.8

child	76.7

outfit	75.8

vehicle	75.4

two	72.9

administration	72.2

window	27.3

window screen	23.6

screen	23.6

book jacket	23.5

building	23.5

old	20.9

covering	20

jacket	18.3

architecture	18

city	16.6

windowsill	16.5

wall	16.2

history	16.1

protective covering	16

vintage	15.7

historic	15.6

wrapping	13.9

texture	13.9

antique	13.8

structure	13.7

sill	13.2

art	13

grunge	12.8

framework	12.5

house	11.7

black	10.2

structural member	10

frame	10

dirty	9.9

retro	9.8

blackboard	9.5

grungy	9.5

light	9.4

monument	9.3

glass	9.3

decoration	9.2

rough	9.1

tourism	9.1

design	9

supporting structure	8.9

film	8.8

support	8.8

facade	8.8

ancient	8.6

windows	8.6

television	8.6

sculpture	8.6

travel	8.4

street	8.3

negative	8.2

case	7.8

color	7.8

device	7.6

detail	7.2

aged	7.2

landmark	7.2

religion	7.2

material	7.1

interior	7.1

Photograph	95.9

Snapshot	85.5

Photography	70.6

Photographic paper	70.5

Black-and-white	68.3

Stock photography	64

Picture frame	57.5

ship	91.6

indoor	88.5

old	75.6

people	69.9

black and white	69.3

white	60.7

Age	48-68
Gender	Female, 50.2%
Happy	49.9%
Confused	49.5%
Calm	49.6%
Angry	49.7%
Sad	49.6%
Disgusted	49.6%
Surprised	49.6%

Age	35-52
Gender	Male, 51.9%
Happy	45.1%
Confused	45.2%
Disgusted	52.3%
Calm	46%
Sad	45.6%
Angry	45.7%
Surprised	45.2%

Age	38-59
Gender	Male, 50.5%
Sad	49.5%
Calm	49.5%
Angry	49.5%
Happy	50.5%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%

Age	19-36
Gender	Female, 50.3%
Sad	49.5%
Happy	49.5%
Angry	49.6%
Confused	49.5%
Surprised	49.5%
Disgusted	49.6%
Calm	50.2%

Age	26-44
Gender	Female, 50.5%
Sad	49.7%
Angry	49.5%
Disgusted	49.5%
Calm	49.5%
Confused	49.5%
Surprised	49.5%
Happy	50.3%

Age	26-43
Gender	Male, 50.4%
Angry	49.7%
Sad	50.2%
Surprised	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.6%
Disgusted	49.5%

Age	60-90
Gender	Female, 54.7%
Confused	45%
Sad	45.9%
Happy	53.7%
Disgusted	45.1%
Calm	45.1%
Surprised	45.1%
Angry	45.1%

Age	26-43
Gender	Female, 50.4%
Disgusted	49.5%
Calm	49.6%
Sad	49.5%
Surprised	49.5%
Angry	49.5%
Happy	50.4%
Confused	49.5%

Age	26-43
Gender	Male, 50.2%
Confused	49.6%
Sad	49.8%
Calm	49.8%
Surprised	49.6%
Disgusted	49.6%
Angry	49.6%
Happy	49.6%

Age	35-52
Gender	Male, 50.3%
Happy	49.6%
Surprised	49.5%
Disgusted	49.6%
Confused	49.5%
Angry	49.5%
Calm	50.2%
Sad	49.5%

Person	98.1%

Person	95.3%

Person	88.6%

Person	84.2%

Age	35-55
Gender	Male, 50.3%
Sad	49.6%
Angry	49.6%
Disgusted	49.5%
Calm	50.3%
Confused	49.5%
Surprised	49.5%
Happy	49.5%

Age	48-68
Gender	Male, 54.8%
Disgusted	45.2%
Angry	46%
Surprised	45.7%
Happy	45.3%
Calm	50.9%
Confused	45.9%
Sad	46%

Age	27-44
Gender	Male, 51.8%
Calm	50.8%
Disgusted	45.3%
Angry	45.4%
Happy	45.3%
Surprised	45.4%
Sad	47.4%
Confused	45.3%

Human Generated Data

Title

Untitled (large group in snow with snow shoes, outside bus)

Date

c. 1935, printed later

People

Artist: Durette Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Human Generated Data

Title

Untitled (large group in snow with snow shoes, outside bus)

People

Artist: Durette Studio, American 20th century

Date

c. 1935, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6058

Machine Generated Data

Tags

Amazoncreated on 2019-05-30

Clarifaicreated on 2019-05-30

Imaggacreated on 2019-05-30

Googlecreated on 2019-05-30

Microsoftcreated on 2019-05-30

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-05-30

Text analysis

Amazon

Google

Amazon
created on 2019-05-30

Clarifai
created on 2019-05-30

Imagga
created on 2019-05-30

Google
created on 2019-05-30

Microsoft
created on 2019-05-30

Microsoft
created on 2019-05-30