Human Generated Data

Title

Untitled (county fair, central 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, P1970.908

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (county fair, central 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, P1970.908

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

Animal 100
Cattle 100
Dairy Cow 100
Livestock 100
Mammal 100
Adult 97.6
Bride 97.6
Female 97.6
Person 97.6
Wedding 97.6
Woman 97.6
Person 97.5
Person 97.1
Person 96.2
Person 95.8
Person 95.5
Person 95.5
Person 95.4
Cow 94.3
Person 94
Person 93.6
Person 93.2
Person 92.9
Cow 92.6
Cow 91.6
Cow 91.4
Person 91.3
Person 90
Person 89.3
Cow 88.6
Person 87.7
Person 87.6
Person 85.3
Person 83.6
Head 69.7
Face 68.5
Horse 66.4
Person 57.1

Clarifai
created on 2018-05-11

people 99.6
cattle 99.2
mammal 98.7
group 98.7
many 98.5
group together 97.6
cow 96.6
agriculture 96.4
livestock 96.2
adult 95.7
farm 92.6
milk 91.8
pasture 90.4
man 86.8
several 86.5
farming 85.3
beef cattle 83.3
pastoral 76.6
cavalry 72.7
administration 71.5

Imagga
created on 2023-10-06

dairy 98.9
cow 79.3
ranch 71.5
cattle 67.7
farm 66.1
grass 45.1
rural 42.3
pasture 41.2
field 41
livestock 40.7
horse 38.4
meadow 36.8
animals 35.2
grazing 33.4
cows 32.6
herd 30.5
agriculture 29.9
bovine 28.9
horses 27.3
farming 26.6
milk 23.9
brown 23.6
beef 22
bull 21.6
country 19.3
black 18.7
countryside 18.3
graze 16.7
mammal 16.4
animal 16.4
summer 16.1
equine 15.8
calf 15.6
outdoors 14.9
domestic 14.5
landscape 14.1
mare 13.8
head 13.5
sky 13.4
outdoor 13
group 12.9
mammals 12.7
farmland 12.6
trees 12.5
stallion 11.8
agricultural 11.7
tree 11.5
scene 11.3
heifer 10.9
equestrian 10.8
hay 10.8
fence 10.7
fields 10.6
standing 10.4
land 10.1
eating 10.1
saddle 10.1
meat 9.9
mane 9.8
grassland 9.8
sunny 9.5
day 9.4
stable 8.9
feeding 8.8
wild 8.7
pastoral 7.9
horn 7.8
curious 7.8
breed 7.7
outside 7.7
resort 7.5
cute 7.2
spring 7.1

Google
created on 2018-05-11

Microsoft
created on 2018-05-11

cow 99.9
tree 99.9
outdoor 99.9
grass 99.7
standing 98.9
black 95.3
group 88.8
white 85.4
mammal 75.5
posing 61.6
cattle 58.4
people 57.4
old 50.1
bovine 40.2

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 27-37
Gender Male, 99.1%
Calm 51.8%
Happy 17.2%
Surprised 12.7%
Fear 6.5%
Confused 6.3%
Sad 5.8%
Disgusted 5.8%
Angry 0.9%

AWS Rekognition

Age 25-35
Gender Male, 77.9%
Calm 88.3%
Sad 6.7%
Surprised 6.4%
Fear 5.9%
Disgusted 1.3%
Confused 1.1%
Angry 0.4%
Happy 0.3%

AWS Rekognition

Age 26-36
Gender Male, 89.4%
Calm 60.3%
Angry 18.8%
Disgusted 8.7%
Surprised 7.2%
Fear 6.7%
Happy 4.3%
Sad 3.1%
Confused 1.7%

AWS Rekognition

Age 9-17
Gender Female, 89%
Happy 37.7%
Calm 16.5%
Disgusted 14.4%
Confused 13.7%
Fear 8.2%
Surprised 7.7%
Angry 4.5%
Sad 4.4%

AWS Rekognition

Age 20-28
Gender Male, 99.5%
Calm 85.3%
Surprised 6.7%
Fear 6%
Confused 4%
Sad 3.8%
Angry 3.4%
Disgusted 1%
Happy 0.9%

AWS Rekognition

Age 31-41
Gender Male, 85.9%
Calm 77.2%
Sad 11.7%
Surprised 7.1%
Fear 6.1%
Happy 5.9%
Angry 1.5%
Disgusted 0.4%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Male, 59.3%
Calm 98.1%
Surprised 6.7%
Fear 5.9%
Sad 2.2%
Confused 0.3%
Happy 0.2%
Disgusted 0.2%
Angry 0.1%

AWS Rekognition

Age 23-31
Gender Male, 70.8%
Calm 51%
Sad 47.3%
Surprised 12.5%
Fear 6.2%
Happy 5.5%
Confused 3.2%
Disgusted 3%
Angry 1.7%

AWS Rekognition

Age 19-27
Gender Female, 70.7%
Calm 99.8%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0%
Confused 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 20-28
Gender Male, 99.3%
Sad 98.7%
Fear 23.3%
Confused 9.9%
Surprised 6.6%
Calm 5.5%
Disgusted 1.2%
Happy 1.1%
Angry 0.7%

AWS Rekognition

Age 19-27
Gender Female, 77.8%
Calm 96%
Surprised 6.3%
Fear 5.9%
Sad 3.4%
Confused 0.3%
Disgusted 0.2%
Happy 0.1%
Angry 0%

AWS Rekognition

Age 24-34
Gender Male, 94.4%
Sad 97.1%
Calm 44.8%
Surprised 6.5%
Fear 6%
Angry 1.2%
Disgusted 1%
Happy 0.7%
Confused 0.1%

AWS Rekognition

Age 13-21
Gender Female, 66.7%
Sad 100%
Surprised 6.3%
Fear 5.9%
Calm 4.3%
Disgusted 1.1%
Happy 0.7%
Confused 0.5%
Angry 0.3%

AWS Rekognition

Age 26-36
Gender Male, 99.7%
Calm 81.5%
Sad 19.4%
Surprised 6.3%
Fear 5.9%
Happy 1%
Disgusted 0.3%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 23-31
Gender Male, 84.2%
Calm 92.6%
Surprised 6.9%
Fear 5.9%
Sad 3.9%
Angry 0.8%
Confused 0.6%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 39-47
Gender Male, 97.9%
Calm 95.2%
Surprised 7.6%
Fear 5.9%
Sad 2.2%
Happy 1.1%
Angry 0.5%
Confused 0.4%
Disgusted 0.3%

AWS Rekognition

Age 30-40
Gender Female, 58.3%
Calm 94.1%
Surprised 7.8%
Fear 5.9%
Sad 2.3%
Happy 1%
Angry 0.7%
Confused 0.4%
Disgusted 0.3%

AWS Rekognition

Age 16-22
Gender Female, 96.3%
Sad 65.2%
Calm 29.1%
Confused 23.3%
Happy 8.9%
Surprised 8.4%
Fear 6.3%
Disgusted 2.2%
Angry 0.7%

Microsoft Cognitive Services

Age 60
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Feature analysis

Amazon

Adult 97.6%
Bride 97.6%
Female 97.6%
Person 97.6%
Woman 97.6%
Cow 94.3%
Horse 66.4%