Human Generated Data

Title

Untitled (Horse Dance, Java)
Date

January 26, 1960-February 2, 1960
People

Artist: Ben Shahn, American 1898 - 1969
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5171

Human Generated Data

Title

Untitled (Horse Dance, Java)

People

Artist: Ben Shahn, American 1898 - 1969

Date

January 26, 1960-February 2, 1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5171

Machine Generated Data

Tags

Amazon
created on 2023-10-05

People 99.9
Person 98.4
Adult 98.4
Female 98.4
Woman 98.4
Person 96.2
Person 95.2
Person 94.2
Person 93.7
Person 93.3
Animal 93.1
Bull 93.1
Mammal 93.1
Person 92.9
Person 91.7
Person 90.7
Person 87.6
Person 87.1
Person 87
Person 86.6
Person 81.9
Person 81.4
Person 80.9
Person 80
Person 78.3
Person 75
Person 74.4
Person 72.5
Horse 69.5
Person 69.3
Person 66.6
Person 66.2
Person 65.9
Bullfighter 63.1
Person 61.6
Clothing 61.4
Hat 61.4
Person 58.4
Weapon 57.4
Rodeo 57.3
Person 56.8
Horseback Riding 56.1
Leisure Activities 56.1
Sword 55.5

Clarifai
created on 2018-05-10

people 100
group together 99.5
many 98.3
man 93.6
cavalry 93.1
adult 89.8
spectator 89.4
athlete 87.8
group 87
recreation 83.5
military 82.1
competition 80.9
war 78.2
crowd 75.5
several 75.4
outfit 73.7
wear 69.1
skirmish 67.6
sports equipment 67.2
soldier 59

Imagga
created on 2023-10-05

horse 100
vaulting horse 57.3
cowboy 56.2
animal 40.8
gymnastic apparatus 34.4
harness 32.4
horses 31.2
sports equipment 27.5
plow 27.1
sport 26.5
riding 25.4
competition 23.8
equestrian 22.6
speed 21.1
ride 20.4
tool 19.9
equine 19.7
rider 19.7
saddle 19.3
outdoors 18.7
support 18.6
laborer 18.2
race 18.2
jockey 17.8
mammal 17.2
horseback 16.8
stallion 16.7
farm 15.2
action 14.9
animals 14.8
racing 14.7
rope 14.3
device 14.3
male 14.2
man 14.1
equipment 14.1
people 14
western 12.6
field 12.6
outdoor 11.5
polo mallet 11.5
sports 11.1
grass 11.1
gallop 10.9
active 10.8
dirt 10.5
sand 10.5
wild 10.5
line 10.5
danger 10
country 9.7
summer 9.7
black 9.6
track 9.6
brown 9.6
fast 9.4
travel 9.2
mallet 9.2
leisure 9.1
activity 9
mare 8.8
rural 8.8
mane 8.8
ranch 8.8
mammals 8.8
west 8.7
military 8.7
desert 8.4
mountains 8.3
bridle 8.2
landscape 8.2
game 8
determination 7.8
soldier 7.8
adult 7.8
run 7.7
running 7.7
dry 7.4
thoroughbred 7.3
sky 7

Google
created on 2018-05-10

black and white 89.1
tree 78.1
pack animal 77
history 73.9
monochrome photography 69.4
horse like mammal 68.8
monochrome 63.6
recreation 61.2
middle ages 59.9
stock photography 58.7

Microsoft
created on 2018-05-10

outdoor 98.5
ground 98
sport 90.6
people 81.6
group 63.5
crowd 26
dirt 20.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 1-7
Gender Female, 92.4%
Sad 95.7%
Confused 18.5%
Disgusted 17.3%
Fear 10.3%
Surprised 6.7%
Calm 3%
Angry 2.3%
Happy 0.7%

AWS Rekognition

Age 19-27
Gender Female, 94.9%
Fear 54.7%
Calm 41.8%
Surprised 6.9%
Sad 4.6%
Disgusted 3.3%
Angry 1.9%
Confused 1.4%
Happy 0.7%

AWS Rekognition

Age 16-24
Gender Male, 74.4%
Calm 46.6%
Sad 33.5%
Fear 10.6%
Angry 8.6%
Surprised 6.9%
Confused 6.3%
Disgusted 4.7%
Happy 1.1%

AWS Rekognition

Age 27-37
Gender Male, 86.8%
Calm 85.8%
Disgusted 7.2%
Surprised 6.9%
Fear 6%
Sad 2.8%
Angry 2.6%
Happy 0.5%
Confused 0.4%

AWS Rekognition

Age 24-34
Gender Male, 99%
Calm 69.6%
Surprised 10.9%
Sad 10.7%
Fear 7.1%
Happy 2.7%
Angry 2.4%
Disgusted 2.2%
Confused 1.2%

AWS Rekognition

Age 28-38
Gender Male, 61.1%
Calm 72.7%
Angry 17.7%
Surprised 7.1%
Fear 6.1%
Sad 3.4%
Disgusted 2.2%
Confused 1%
Happy 0.9%

AWS Rekognition

Age 4-12
Gender Female, 95.7%
Calm 89.2%
Surprised 7.3%
Fear 6.4%
Angry 3%
Sad 2.7%
Happy 1.6%
Disgusted 1.1%
Confused 0.4%

AWS Rekognition

Age 7-17
Gender Male, 89.1%
Fear 65.4%
Sad 30.9%
Calm 22.3%
Surprised 6.6%
Confused 1.7%
Angry 1.7%
Happy 1.3%
Disgusted 0.5%

AWS Rekognition

Age 12-20
Gender Male, 59%
Calm 55.9%
Fear 34.6%
Surprised 7.5%
Angry 5.9%
Sad 2.9%
Disgusted 0.8%
Happy 0.7%
Confused 0.5%

AWS Rekognition

Age 23-31
Gender Male, 98.5%
Calm 95.5%
Surprised 6.9%
Fear 6%
Sad 2.4%
Happy 1.5%
Confused 0.3%
Disgusted 0.2%
Angry 0.2%

AWS Rekognition

Age 11-19
Gender Male, 99.3%
Happy 81.5%
Surprised 6.5%
Sad 6.4%
Fear 6.2%
Calm 4.8%
Angry 3.7%
Disgusted 0.5%
Confused 0.4%

AWS Rekognition

Age 23-31
Gender Male, 95.2%
Calm 90.1%
Surprised 7.6%
Fear 6.3%
Sad 3.8%
Angry 0.8%
Disgusted 0.6%
Confused 0.5%
Happy 0.3%

AWS Rekognition

Age 18-26
Gender Male, 55.4%
Calm 94.2%
Surprised 6.4%
Fear 6.1%
Sad 2.8%
Angry 1.8%
Confused 0.9%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 22-30
Gender Female, 65.6%
Calm 55.7%
Sad 17.4%
Surprised 9.6%
Angry 9.6%
Fear 8.1%
Disgusted 5.2%
Confused 1.6%
Happy 1.5%

AWS Rekognition

Age 22-30
Gender Male, 99.5%
Angry 59.5%
Calm 39.5%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Disgusted 0.2%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 21-29
Gender Male, 54%
Calm 91.6%
Surprised 6.9%
Fear 6%
Angry 3.1%
Sad 2.6%
Happy 1.4%
Disgusted 0.8%
Confused 0.3%

AWS Rekognition

Age 19-27
Gender Male, 87.7%
Calm 98.2%
Surprised 6.3%
Fear 6.2%
Sad 2.2%
Angry 0.3%
Disgusted 0.3%
Confused 0.2%
Happy 0.2%

AWS Rekognition

Age 11-19
Gender Male, 99.9%
Calm 98.2%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Angry 0.9%
Confused 0.1%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 16-24
Gender Male, 99.6%
Calm 58.6%
Confused 10.1%
Surprised 8.9%
Angry 7.1%
Fear 7.1%
Disgusted 6.2%
Sad 5.3%
Happy 4%

AWS Rekognition

Age 4-12
Gender Male, 99%
Calm 35.3%
Happy 35.1%
Sad 24.9%
Surprised 6.6%
Fear 6.5%
Angry 3.8%
Confused 3.2%
Disgusted 1.4%

AWS Rekognition

Age 22-30
Gender Male, 99%
Surprised 96%
Fear 15.9%
Calm 7.1%
Sad 2.5%
Happy 2.3%
Angry 1.7%
Confused 1.6%
Disgusted 1.3%

AWS Rekognition

Age 18-26
Gender Female, 93.6%
Disgusted 45.9%
Sad 23.5%
Surprised 10.4%
Calm 10.3%
Angry 7.8%
Fear 7.1%
Confused 6.9%
Happy 1.2%

AWS Rekognition

Age 12-20
Gender Male, 94.3%
Calm 87.3%
Fear 8%
Surprised 6.9%
Angry 2.7%
Sad 2.5%
Happy 1.2%
Confused 1%
Disgusted 0.6%

AWS Rekognition

Age 9-17
Gender Male, 91.3%
Calm 87.7%
Surprised 7.1%
Fear 6.2%
Sad 4%
Angry 3.4%
Disgusted 1%
Happy 0.6%
Confused 0.5%

AWS Rekognition

Age 6-14
Gender Female, 98.2%
Sad 99.7%
Calm 20.5%
Fear 7.6%
Surprised 6.6%
Angry 4%
Confused 1%
Happy 0.7%
Disgusted 0.4%

AWS Rekognition

Age 6-12
Gender Female, 98.5%
Sad 99.5%
Fear 24.9%
Angry 7.7%
Surprised 6.4%
Calm 1.9%
Disgusted 0.3%
Happy 0.3%
Confused 0.2%

AWS Rekognition

Age 16-22
Gender Male, 79.9%
Calm 94.4%
Surprised 6.4%
Fear 6.3%
Sad 2.6%
Angry 1.3%
Happy 0.6%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Male, 82.8%
Calm 79.9%
Sad 15.8%
Surprised 6.6%
Fear 6.4%
Angry 1.1%
Happy 0.8%
Disgusted 0.7%
Confused 0.6%

AWS Rekognition

Age 20-28
Gender Male, 55.9%
Sad 54.8%
Calm 39.5%
Happy 10.7%
Angry 8.1%
Fear 7.5%
Surprised 7.1%
Disgusted 5.9%
Confused 2.1%

AWS Rekognition

Age 13-21
Gender Male, 98.1%
Calm 36.1%
Happy 27.5%
Fear 25.4%
Surprised 7.9%
Sad 3.4%
Angry 2.1%
Disgusted 2%
Confused 0.8%

AWS Rekognition

Age 12-20
Gender Male, 98.4%
Calm 73.2%
Sad 26.1%
Surprised 7.1%
Fear 6.3%
Angry 2.2%
Happy 0.9%
Disgusted 0.8%
Confused 0.8%

AWS Rekognition

Age 18-26
Gender Male, 96.3%
Sad 90.6%
Calm 41.2%
Angry 9.3%
Surprised 7.5%
Fear 6.1%
Disgusted 1.8%
Confused 1.7%
Happy 0.6%

AWS Rekognition

Age 7-17
Gender Male, 99.9%
Angry 59%
Calm 22.7%
Surprised 7%
Sad 6.6%
Fear 6.2%
Confused 5.8%
Disgusted 1.1%
Happy 0.9%

AWS Rekognition

Age 16-22
Gender Male, 87.7%
Calm 40.5%
Angry 25.3%
Happy 20.2%
Surprised 7%
Fear 6.5%
Confused 4.2%
Disgusted 3.8%
Sad 3.2%

AWS Rekognition

Age 18-26
Gender Female, 95.5%
Angry 44.5%
Calm 33.9%
Surprised 9.1%
Fear 6.7%
Disgusted 5.2%
Confused 5%
Sad 3.7%
Happy 0.7%

AWS Rekognition

Age 23-31
Gender Male, 98.4%
Calm 96.1%
Surprised 6.6%
Fear 5.9%
Sad 2.3%
Angry 1.1%
Disgusted 0.7%
Happy 0.5%
Confused 0.4%

Feature analysis

Amazon

Person 98.4%
Adult 98.4%
Female 98.4%
Woman 98.4%

Categories

Imagga

streetview architecture 54.8%
nature landscape 38.3%
beaches seaside 4.7%
pets animals 1.2%