AI Data for Untitled (horse races, Lancaster, Ohio) | AI Explorer

AWS Rekognition

Age	16-24
Gender	Female, 98.1%
Sad	99.9%
Calm	13.9%
Surprised	6.6%
Fear	6.4%
Disgusted	4.8%
Confused	1.8%
Happy	1.8%
Angry	0.8%

AWS Rekognition

Age	27-37
Gender	Female, 100%
Sad	94.6%
Disgusted	13.3%
Fear	10.1%
Surprised	9.3%
Angry	8.6%
Happy	6.9%
Confused	6.3%
Calm	4.3%

AWS Rekognition

Age	26-36
Gender	Male, 86.1%
Sad	99.9%
Calm	11.1%
Surprised	6.6%
Fear	6.2%
Angry	2%
Confused	1.8%
Happy	1.8%
Disgusted	1.8%

AWS Rekognition

Age	19-27
Gender	Female, 57.4%
Sad	100%
Fear	7.3%
Surprised	6.6%
Disgusted	1.7%
Confused	1.7%
Calm	1.1%
Angry	0.9%
Happy	0.3%

AWS Rekognition

Age	20-28
Gender	Male, 95.9%
Calm	59%
Fear	15.7%
Surprised	9.9%
Angry	7.4%
Sad	4.6%
Happy	3%
Confused	1.7%
Disgusted	1.4%

AWS Rekognition

Age	34-42
Gender	Male, 95.5%
Sad	99.9%
Confused	12.6%
Disgusted	11.5%
Surprised	6.4%
Fear	6.1%
Happy	1.1%
Angry	0.9%
Calm	0.6%

AWS Rekognition

Age	40-48
Gender	Male, 99.4%
Calm	95.6%
Surprised	6.7%
Fear	5.9%
Sad	2.2%
Angry	0.9%
Happy	0.9%
Confused	0.8%
Disgusted	0.4%

AWS Rekognition

Age	22-30
Gender	Male, 99.6%
Surprised	97.4%
Calm	17.5%
Fear	6%
Sad	4%
Angry	1.5%
Disgusted	1.1%
Confused	0.8%
Happy	0.7%

AWS Rekognition

Age	13-21
Gender	Male, 84.9%
Fear	61.3%
Calm	22%
Happy	13.7%
Surprised	8.1%
Disgusted	4.8%
Sad	4.1%
Confused	2.3%
Angry	1.2%

AWS Rekognition

Age	23-31
Gender	Female, 53.9%
Happy	99.6%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Calm	0.1%
Disgusted	0.1%
Angry	0.1%
Confused	0%

AWS Rekognition

Age	40-48
Gender	Male, 99.7%
Sad	98.4%
Confused	22.8%
Calm	10.3%
Fear	7%
Surprised	6.7%
Angry	5.3%
Disgusted	1.2%
Happy	1.1%

AWS Rekognition

Age	35-43
Gender	Male, 92.5%
Disgusted	92.7%
Surprised	6.4%
Fear	6%
Sad	3.4%
Confused	1%
Angry	1%
Happy	0.7%
Calm	0.7%

AWS Rekognition

Age	20-28
Gender	Male, 98.1%
Calm	36.8%
Angry	22.9%
Disgusted	18.2%
Sad	17.4%
Surprised	7.7%
Fear	6.5%
Happy	1.1%
Confused	0.9%

AWS Rekognition

Age	28-38
Gender	Male, 97.8%
Calm	98.7%
Surprised	6.5%
Fear	5.9%
Sad	2.2%
Happy	0.6%
Disgusted	0.1%
Angry	0.1%
Confused	0%

AWS Rekognition

Age	16-22
Gender	Male, 99.7%
Calm	88.6%
Surprised	6.5%
Fear	5.9%
Happy	3.8%
Sad	3.3%
Angry	2.9%
Confused	0.6%
Disgusted	0.4%

AWS Rekognition

Age	27-37
Gender	Male, 88%
Sad	99.8%
Angry	17.5%
Fear	7.5%
Surprised	7%
Calm	3%
Confused	1.9%
Disgusted	1.9%
Happy	1.4%

AWS Rekognition

Age	13-21
Gender	Male, 95.3%
Happy	34.9%
Calm	31.3%
Sad	11.9%
Fear	10.8%
Surprised	6.6%
Confused	6.1%
Angry	2.5%
Disgusted	2%

AWS Rekognition

Age	33-41
Gender	Male, 99.5%
Calm	85%
Happy	8.2%
Surprised	6.9%
Fear	6%
Sad	2.8%
Angry	1.3%
Disgusted	1.2%
Confused	0.8%

AWS Rekognition

Age	16-24
Gender	Male, 99.2%
Fear	84.3%
Happy	17.8%
Surprised	8.2%
Calm	4.7%
Sad	3.4%
Angry	1.8%
Confused	1.5%
Disgusted	1.2%

AWS Rekognition

Age	23-33
Gender	Male, 99.9%
Calm	81.3%
Surprised	7.2%
Fear	6.2%
Happy	4.7%
Sad	4.3%
Disgusted	2.8%
Confused	2.2%
Angry	1.2%

AWS Rekognition

Age	4-10
Gender	Female, 77.8%
Calm	79.4%
Fear	7.6%
Happy	7.6%
Surprised	7%
Disgusted	4%
Sad	2.5%
Angry	1.6%
Confused	0.7%

AWS Rekognition

Age	21-29
Gender	Male, 94.6%
Angry	29.3%
Calm	17.2%
Disgusted	11.6%
Confused	10.7%
Surprised	9.9%
Fear	9.5%
Happy	8.6%
Sad	7.3%

AWS Rekognition

Age	19-27
Gender	Male, 99.8%
Calm	91.3%
Surprised	8%
Fear	6.3%
Sad	2.5%
Happy	1.5%
Disgusted	0.7%
Confused	0.6%
Angry	0.5%

AWS Rekognition

Age	18-26
Gender	Female, 99.6%
Calm	68.1%
Fear	28.4%
Surprised	7.2%
Sad	2.4%
Confused	1%
Angry	0.3%
Disgusted	0.3%
Happy	0.2%

AWS Rekognition

Age	19-27
Gender	Male, 98.3%
Calm	90.5%
Surprised	6.9%
Fear	6%
Sad	3.4%
Angry	2.4%
Disgusted	1.2%
Happy	0.5%
Confused	0.3%

AWS Rekognition

Age	16-24
Gender	Female, 91.1%
Calm	71.8%
Sad	14.1%
Fear	8.3%
Surprised	7.6%
Happy	2.8%
Angry	2%
Disgusted	0.9%
Confused	0.5%

AWS Rekognition

Age	14-22
Gender	Male, 85.7%
Calm	65.1%
Sad	27.3%
Fear	7.6%
Surprised	7.2%
Confused	4.9%
Angry	2%
Disgusted	1.3%
Happy	0.8%

AWS Rekognition

Age	16-22
Gender	Male, 93.3%
Calm	81.2%
Surprised	10%
Fear	6.6%
Angry	4%
Sad	3.4%
Happy	2.1%
Confused	0.9%
Disgusted	0.6%

AWS Rekognition

Age	18-24
Gender	Female, 64.4%
Sad	74%
Calm	57.3%
Surprised	6.9%
Fear	6.7%
Angry	2.1%
Confused	1.5%
Happy	0.9%
Disgusted	0.9%

AWS Rekognition

Age	24-34
Gender	Male, 98.8%
Calm	91.1%
Surprised	6.8%
Fear	6.1%
Sad	3.5%
Disgusted	1.5%
Angry	1.1%
Happy	0.8%
Confused	0.4%

AWS Rekognition

Age	21-29
Gender	Male, 98.2%
Calm	71.1%
Sad	14.3%
Fear	6.8%
Surprised	6.5%
Confused	6.1%
Happy	4.2%
Angry	1%
Disgusted	0.6%

AWS Rekognition

Age	23-33
Gender	Male, 99.8%
Calm	98.2%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Angry	0.7%
Disgusted	0.4%
Happy	0.1%
Confused	0.1%

AWS Rekognition

Age	12-20
Gender	Male, 89.8%
Sad	99.8%
Calm	26.2%
Fear	6.6%
Surprised	6.4%
Confused	0.9%
Happy	0.6%
Disgusted	0.5%
Angry	0.3%

AWS Rekognition

Age	9-17
Gender	Male, 99.6%
Calm	94.1%
Surprised	6.3%
Fear	5.9%
Angry	3.5%
Sad	2.7%
Happy	0.3%
Confused	0.2%
Disgusted	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 99.2%
Sad	88%
Calm	20.4%
Happy	12.1%
Angry	10.8%
Surprised	10.1%
Fear	7.3%
Confused	4%
Disgusted	2.5%

AWS Rekognition

Age	18-26
Gender	Male, 99.7%
Calm	99.9%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Angry	0%
Happy	0%
Confused	0%
Disgusted	0%

Title Untitled (horse races, Lancaster, Ohio)	Date August 1938
People Artist: Ben Shahn, American 1898 - 1969	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.674	Copyright © President and Fellows of Harvard College

People	99.9

Person	98.3

Person	98

Person	95.1

Person	94.2

Person	93.2

Person	93

Person	92.3

Animal	92

Bull	92

Mammal	92

Person	86.4

Person	86.2

Person	85.9

Person	83.7

Person	82.1

Crowd	81.5

Person	81.4

Person	80

Person	79.4

Person	76.4

Person	75.3

Person	74.4

Person	73

Person	72.4

Person	67.9

Person	65.7

Person	65.7

Person	64.8

Horse	62

Person	60.8

Person	57.3

Person	56.9

Firearm	56.6

Gun	56.6

Rifle	56.6

Weapon	56.6

Sword	55.8

Audience	55.5

Brass Section	55.3

Horn	55.3

Musical Instrument	55.3

Performer	55.3

Leisure Activities	55.1

Music	55.1

Musician	55.1

Bullfighter	55

Transportation	55

Vehicle	55

Wagon	55

people	100

many	99.8

group together	99.7

group	99.5

adult	98.6

man	94.6

military	92.9

administration	91.1

crowd	89.3

leader	87.6

wear	87.2

spectator	87

war	85.4

vehicle	82.5

several	81.9

soldier	81.5

uniform	80.3

recreation	79

child	75.2

outfit	75

dairy	36.4

cemetery	20.5

grass	18.2

farm	16.9

sky	16.6

travel	14.1

outdoor	13.8

landscape	13.4

city	13.3

architecture	13.3

old	13.2

rural	13.2

animal	13.2

horse	12.7

pen	12.4

building	12.2

field	11.7

park	11.5

water	11.3

tree	10.8

history	10.7

enclosure	10.4

tool	10.3

summer	10.3

house	10.1

percussion instrument	9.9

structure	9.8

ranch	9.7

musical instrument	9.6

weapon	9.4

man	9.4

tourist	9.2

countryside	9.1

cow	9.1

trees	8.9

mountain	8.9

country	8.8

military	8.7

sport	8.7

plow	8.4

people	8.4

tourism	8.2

road	8.1

river	8

pedestrian	7.9

horses	7.8

stone	7.8

outside	7.7

war	7.7

dirt	7.6

cattle	7.5

uniform	7.3

day	7.1

fence	7

sea	7

agriculture	7

scenic	7

black and white	88.4

history	76.8

monochrome photography	72.5

troop	70.5

monochrome	62.3

vehicle	57.1

streetview architecture	93.6%

beaches seaside	2.2%

nature landscape	2.1%

cars vehicles	1.8%

a group of people standing in front of a building	94.6%

a group of people standing in front of a white building	91.4%

a group of people in front of a building	91.3%

Human Generated Data

Title

Untitled (horse races, Lancaster, Ohio)

Date

August 1938

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.674

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (horse races, Lancaster, Ohio)

People

Artist: Ben Shahn, American 1898 - 1969

Date

August 1938

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.674

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazoncreated on 2023-10-05

Clarifaicreated on 2018-05-11

Imaggacreated on 2023-10-05

Googlecreated on 2018-05-11

Microsoftcreated on 2018-05-11

Color Analysis

Face analysis

Amazon

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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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 2018-05-11

Text analysis

Amazon

Amazon
created on 2023-10-05

Clarifai
created on 2018-05-11

Imagga
created on 2023-10-05

Google
created on 2018-05-11

Microsoft
created on 2018-05-11

Microsoft
created on 2018-05-11