Human Generated Data

Title

Untitled (attempts at shoeing a mule)

Date

1900s

People

Artist: American Steel & Wire Co.,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Gift of Robert H. Millett, 2.2002.3893

Human Generated Data

Title

Untitled (attempts at shoeing a mule)

People

Artist: American Steel & Wire Co.,

Date

1900s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Gift of Robert H. Millett, 2.2002.3893

Machine Generated Data

Tags

Amazon
created on 2019-11-10

Human 99.3
Person 99.3
Mammal 98.5
Animal 98.5
Bull 98.5
Person 98.2
Person 98.1
Person 97.7
Person 96.2
Person 92.3
Person 89.3
Horse 85.1
Horse 84.7
Cattle 83.3
Ox 83.3
Person 82.8
Person 80.7
Person 77.4
Person 67.4
Person 65
Military 64.6
Military Uniform 64.6
Rodeo 63.7
Cow 63.6
Person 63.2
Person 62.6
Person 56.1
Person 52
Person 46.7
Person 46.1

Clarifai
created on 2019-11-10

people 99.6
group 96.5
cavalry 95.1
adult 94.5
man 92.4
mammal 92.2
group together 90.6
many 89
woman 82.9
outfit 79.4
wear 78.1
military 78
several 77.3
cattle 77
transportation system 76.7
recreation 76.5
child 75.3
four 71.9
vehicle 71.6
one 71.3

Imagga
created on 2019-11-10

plow 61.7
horse 46.2
tool 45.7
farm 24.1
cart 22.3
pen 22.1
horse cart 22.1
horses 20.5
animal 19.9
grass 19
rural 18.5
enclosure 17.7
ranch 17.1
cowboy 16.4
water buffalo 16.2
herd 15.7
wagon 15.5
carriage 15.4
pasture 15.3
cow 15
outdoors 14.9
cattle 14.9
animals 13.9
field 13.4
travel 13.4
bull 13.3
mammal 13.2
wild 13.1
outdoor 12.2
riding 11.7
ride 11.6
country 11.4
old world buffalo 11.4
agriculture 11.4
male 11.4
brown 11
equine 11
wheeled vehicle 11
stallion 10.8
tourism 10.7
dirt 10.5
landscape 10.4
sky 10.2
man 10.1
countryside 10.1
transportation 9.9
western 9.7
harness 9.6
structure 9.6
people 9.5
farming 9.5
speed 9.2
sand 8.9
bovine 8.8
running 8.6
old 8.4
sport 8.2
dairy 8.2
livestock 8.1
sunset 8.1
rider 7.9
mane 7.8
west 7.7
summer 7.7
culture 7.7
desert 7.5
dry 7.4
mountains 7.4
vehicle 7.4
transport 7.3
group 7.3
tourist 7.3
meadow 7.2
architecture 7

Google
created on 2019-11-10

Microsoft
created on 2019-11-10

horse 99.4
outdoor 94.4
animal 91.4
text 86.4
person 81
standing 75.6
cattle 69.7
mammal 64.3
mule 51.7
old 43.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 36-54
Gender Male, 54.6%
Fear 45.1%
Happy 47.3%
Angry 45.1%
Calm 51.9%
Confused 45.1%
Disgusted 45.1%
Surprised 45.1%
Sad 45.2%

AWS Rekognition

Age 43-61
Gender Male, 53.2%
Angry 45.2%
Disgusted 45.1%
Happy 45.2%
Sad 47.1%
Calm 46.3%
Surprised 45.6%
Confused 46.7%
Fear 48.9%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.7%
Fear 49.5%
Surprised 49.5%
Sad 49.6%
Calm 50.1%

AWS Rekognition

Age 4-14
Gender Female, 50.3%
Fear 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 28-44
Gender Male, 54.9%
Calm 49.2%
Angry 45.4%
Sad 45.2%
Fear 45.3%
Happy 49.5%
Confused 45%
Disgusted 45%
Surprised 45.3%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Fear 49.7%
Disgusted 49.5%
Calm 49.7%
Happy 49.5%
Surprised 49.7%
Sad 49.6%
Angry 49.7%
Confused 49.5%

AWS Rekognition

Age 37-55
Gender Male, 50.4%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%
Fear 49.5%
Calm 50.2%

AWS Rekognition

Age 15-27
Gender Female, 50.1%
Fear 49.5%
Sad 49.7%
Angry 49.7%
Happy 49.5%
Calm 49.9%
Disgusted 49.8%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Male, 54.3%
Angry 45.1%
Sad 45.9%
Calm 53.1%
Confused 45.2%
Surprised 45.4%
Happy 45.1%
Fear 45.2%
Disgusted 45.1%

AWS Rekognition

Age 39-57
Gender Male, 52.8%
Happy 45.1%
Angry 45.1%
Calm 54.3%
Surprised 45.1%
Fear 45.1%
Disgusted 45%
Confused 45%
Sad 45.4%

AWS Rekognition

Age 25-39
Gender Male, 50.5%
Surprised 49.5%
Sad 49.5%
Happy 49.5%
Calm 50.3%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 41-59
Gender Male, 50.5%
Surprised 49.5%
Disgusted 49.6%
Fear 49.6%
Happy 49.5%
Angry 49.6%
Calm 49.9%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 25-39
Gender Male, 50.2%
Disgusted 49.5%
Angry 50.5%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Calm 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 51.2%
Calm 50.6%
Happy 47.6%
Sad 46.7%
Surprised 45%
Fear 45%
Confused 45%
Angry 45%
Disgusted 45%

AWS Rekognition

Age 41-59
Gender Female, 50.3%
Angry 49.6%
Calm 49.6%
Happy 49.5%
Fear 49.7%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Sad 50%

AWS Rekognition

Age 31-47
Gender Male, 54.8%
Angry 46%
Happy 46.6%
Sad 47.3%
Surprised 45.3%
Fear 45.7%
Calm 48.9%
Disgusted 45.1%
Confused 45.2%

Feature analysis

Amazon

Person 99.3%
Horse 85.1%
Cow 63.6%

Categories