AI Data for Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 110. A Russian Tea Party. | AI Explorer

AWS Rekognition

Age	20-38
Gender	Male, 54.6%
Happy	46%
Angry	45.5%
Calm	51.2%
Confused	45.4%
Disgusted	45.8%
Surprised	45.4%
Sad	45.6%

AWS Rekognition

Age	17-27
Gender	Female, 54.6%
Confused	45.1%
Calm	46.1%
Angry	45.2%
Surprised	45.1%
Sad	51.4%
Happy	46.6%
Disgusted	45.4%

AWS Rekognition

Age	27-44
Gender	Male, 53.9%
Disgusted	45.4%
Sad	45.2%
Calm	53.5%
Confused	45.3%
Happy	45.1%
Surprised	45.2%
Angry	45.3%

AWS Rekognition

Age	23-38
Gender	Female, 50%
Sad	45.4%
Happy	45.5%
Angry	45.2%
Calm	52.8%
Surprised	45.3%
Confused	45.2%
Disgusted	45.7%

AWS Rekognition

Age	35-52
Gender	Female, 51.5%
Calm	45.8%
Angry	45.3%
Sad	49%
Happy	48.2%
Confused	45.2%
Surprised	45.1%
Disgusted	46.4%

AWS Rekognition

Age	29-45
Gender	Female, 52.9%
Calm	45.1%
Disgusted	45%
Happy	45.1%
Surprised	45%
Sad	54.5%
Angry	45.1%
Confused	45.1%

AWS Rekognition

Age	26-43
Gender	Female, 53.7%
Surprised	45.2%
Sad	52%
Calm	45.6%
Happy	46.8%
Disgusted	45.1%
Confused	45.1%
Angry	45.2%

AWS Rekognition

Age	35-52
Gender	Female, 50%
Confused	45.2%
Angry	45.2%
Disgusted	45.3%
Surprised	45.5%
Sad	45.8%
Calm	49.4%
Happy	48.7%

AWS Rekognition

Age	49-69
Gender	Male, 54.6%
Surprised	45.2%
Sad	46.3%
Happy	45.3%
Confused	45.3%
Calm	51.5%
Angry	46.1%
Disgusted	45.4%

AWS Rekognition

Age	26-43
Gender	Female, 53.7%
Confused	45.1%
Surprised	45.1%
Sad	54.1%
Calm	45.4%
Happy	45.2%
Angry	45.1%
Disgusted	45.1%

AWS Rekognition

Age	35-52
Gender	Female, 53.4%
Angry	45%
Surprised	45%
Sad	45%
Disgusted	45%
Confused	45%
Happy	54.9%
Calm	45%

AWS Rekognition

Age	26-43
Gender	Female, 52%
Confused	45.4%
Sad	46.3%
Angry	45.6%
Calm	48.9%
Happy	48.3%
Disgusted	45.2%
Surprised	45.3%

AWS Rekognition

Age	17-27
Gender	Female, 52.8%
Happy	54.8%
Sad	45%
Disgusted	45%
Angry	45%
Surprised	45%
Calm	45.1%
Confused	45%

AWS Rekognition

Age	10-15
Gender	Female, 54.9%
Angry	45.2%
Disgusted	45.2%
Sad	46.1%
Surprised	45.2%
Happy	52.1%
Calm	45.8%
Confused	45.2%

AWS Rekognition

Age	30-47
Gender	Male, 52.8%
Disgusted	45.2%
Happy	45.1%
Confused	45.2%
Sad	46.2%
Calm	48.5%
Angry	49.6%
Surprised	45.2%

AWS Rekognition

Age	19-36
Gender	Female, 51.5%
Confused	45.6%
Sad	50.5%
Happy	45.3%
Surprised	45.3%
Disgusted	46.7%
Calm	45.2%
Angry	46.3%

AWS Rekognition

Age	26-43
Gender	Male, 52.6%
Disgusted	45.5%
Sad	47.4%
Calm	50.7%
Surprised	45.3%
Angry	45.5%
Happy	45.3%
Confused	45.3%

AWS Rekognition

Age	20-38
Gender	Female, 54.6%
Sad	54.3%
Disgusted	45.1%
Angry	45.1%
Surprised	45%
Calm	45.1%
Confused	45.1%
Happy	45.4%

AWS Rekognition

Age	20-38
Gender	Female, 52.6%
Disgusted	46%
Confused	45.3%
Surprised	45.8%
Calm	45.8%
Happy	45.8%
Angry	46.6%
Sad	49.7%

AWS Rekognition

Age	23-38
Gender	Male, 53.4%
Calm	52.2%
Confused	45.2%
Happy	45.2%
Angry	45.3%
Sad	45.3%
Surprised	45.2%
Disgusted	46.6%

AWS Rekognition

Age	26-43
Gender	Female, 54.4%
Sad	51.4%
Calm	45.7%
Angry	45.6%
Disgusted	45.9%
Surprised	45.4%
Confused	45.6%
Happy	45.4%

AWS Rekognition

Age	35-52
Gender	Male, 54.2%
Angry	45.3%
Sad	53.7%
Surprised	45.1%
Confused	45.1%
Disgusted	45.1%
Calm	45.7%
Happy	45.1%

AWS Rekognition

Age	48-68
Gender	Male, 52.8%
Confused	45.2%
Disgusted	45.8%
Sad	47.3%
Surprised	45.4%
Calm	50.7%
Angry	45.5%
Happy	45.2%

AWS Rekognition

Age	38-59
Gender	Male, 51.9%
Calm	53.7%
Angry	45.2%
Happy	45.3%
Surprised	45.2%
Confused	45.1%
Disgusted	45.3%
Sad	45.2%

AWS Rekognition

Age	35-52
Gender	Male, 54.9%
Angry	45.2%
Sad	51.8%
Surprised	45.1%
Happy	47.4%
Calm	45.4%
Disgusted	45.1%
Confused	45.1%

AWS Rekognition

Age	17-27
Gender	Female, 53%
Calm	48.2%
Confused	45.2%
Disgusted	45.2%
Happy	48%
Angry	45.3%
Sad	48%
Surprised	45.2%

AWS Rekognition

Age	23-38
Gender	Female, 53.8%
Surprised	46.1%
Sad	47.2%
Calm	45.4%
Confused	45.8%
Disgusted	46.8%
Happy	47%
Angry	46.7%

AWS Rekognition

Age	26-43
Gender	Female, 53.7%
Surprised	46.1%
Happy	46.5%
Calm	45.9%
Sad	48.7%
Disgusted	45.9%
Confused	46.1%
Angry	45.9%

Microsoft Cognitive Services

Age	45
Gender	Male

Microsoft Cognitive Services

Age	37
Gender	Female

Microsoft Cognitive Services

Age	29
Gender	Male

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 likely
Blurred	Very unlikely

Title Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 110. A Russian Tea Party.	Date c. 1903
People Artist: Unidentified Artist,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3.1

Human	98.1

Person	98.1

Person	98

Person	97.7

Person	97.1

People	94.5

Person	93.6

Person	93.2

Person	92.6

Person	88.7

Person	88

Person	87.5

Person	87.3

Nature	86

Person	85.7

Outdoors	79

Person	78.4

Painting	76.9

Art	76.9

Person	65.8

Person	64.9

Person	64.2

Person	59.4

Family	58.7

Tree	57.4

Plant	57.4

Audience	57.2

Crowd	57.2

Person	46.2

people	100

many	99.9

group	99.7

child	98.6

group together	97.2

adult	94.9

crowd	94.4

woman	89.3

administration	89.2

man	85.3

boy	85

leader	84.3

several	82.3

military	79.2

recreation	75.1

wear	75.1

sit	74.7

war	74.2

enjoyment	70.7

education	69.6

kin	35.1

cemetery	29.3

man	22.8

people	21.2

old	18.8

grunge	18.7

male	17.1

grandfather	13.6

vintage	13.2

person	13.2

child	12.6

antique	12.1

aged	11.8

field	11.7

tree	11.7

father	11.3

happy	11.3

love	11

happiness	11

adult	10.8

park	10.7

family	10.7

together	10.5

couple	10.4

outdoors	10.4

forest	10.4

sky	10.2

dirty	9.9

landscape	9.7

style	9.6

boy	9.6

ancient	9.5

parent	9.5

grain	9.2

outdoor	9.2

texture	9

dad	9

fun	9

mother	8.9

graphic	8.8

lifestyle	8.7

day	8.6

play	8.6

men	8.6

two	8.5

portrait	8.4

retro	8.2

grass	7.9

art	7.8

world	7.8

aging	7.7

old fashioned	7.6

sport	7.6

silhouette	7.4

game	7.3

smile	7.1

trees	7.1

summer	7.1

autumn	7

People	96.5

Photograph	96.1

Snapshot	86.4

Child	80.1

Family	71.4

Vintage clothing	70.8

Adaptation	67

Photography	62.4

streetview architecture	49%

paintings art	46.2%

interior objects	2.2%

beaches seaside	1%

a group of people posing for a photo	95.8%

a vintage photo of a group of people posing for the camera	93.9%

a vintage photo of a group of people sitting posing for the camera	92.9%

person	98.1

grass	96.3

clothing	95.2

human face	92.4

outdoor	92.2

group	87.2

posing	83.4

child	74.9

old	69.2

woman	60.2

man	59.6

people	56.4

team	35.9

crowd	2.2

Person	98.1%

Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 110. A Russian Tea Party.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3.1

Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 110. A Russian Tea Party.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3.1

Machine Generated Data

Tags

Amazoncreated on 2019-06-05

Clarifaicreated on 2019-06-05

Imaggacreated on 2019-06-05

Googlecreated on 2019-06-05

Microsoftcreated on 2019-06-05

Color Analysis

Face analysis

Amazon

Microsoft

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

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-05

Text analysis

Google

Amazon
created on 2019-06-05

Clarifai
created on 2019-06-05

Imagga
created on 2019-06-05

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

Microsoft
created on 2019-06-05