Human Generated Data

Title

Seventeenth Annual World's Largest Motorcycle Blessing, St. Christophe Shrine, Midlothian, Illinois
Date

1965, printed 2006
People

Artist: Danny Lyon, American born 1942
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2010.21
Copyright

© Danny Lyon/Magnum Photos

Human Generated Data

Title

Seventeenth Annual World's Largest Motorcycle Blessing, St. Christophe Shrine, Midlothian, Illinois

People

Artist: Danny Lyon, American born 1942

Date

1965, printed 2006

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2010.21

Copyright

© Danny Lyon/Magnum Photos

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Human 99.1
Person 99.1
Sunglasses 98.4
Accessory 98.4
Accessories 98.4
Person 98.1
Person 98
Sunglasses 97
Person 96.9
Vehicle 96.7
Motorcycle 96.7
Transportation 96.7
Person 96.4
Motorcycle 94.7
Person 94
Sunglasses 92.4
Person 91.8
Person 91.5
Motorcycle 90.8
Person 90.7
Person 89.5
Sunglasses 84.4
Wheel 83.2
Machine 83.2
Person 82.9
Person 81.6
Bike 81.5
Bicycle 81.5
Person 79.4
Person 77.8
Person 74.2
Sunglasses 73.7
Person 72
Person 71.7
Motor 69.9
People 62.9
Crowd 58.7
Spoke 57.5
Pedestrian 56

Clarifai
created on 2018-03-22

people 99.9
group together 99.5
many 99.4
group 99
vehicle 98.8
adult 98.7
man 95.7
leader 93.9
administration 92.7
transportation system 92.1
several 92
biker 90.3
motorcyclist 90.2
woman 90.2
wear 89.6
street 86
outfit 83.8
crowd 83.7
seated 80.9
music 80.4

Imagga
created on 2018-03-22

man 26.9
musical instrument 24.5
person 24.2
male 24.1
people 18.4
stringed instrument 17.6
stage 16.5
banjo 15.7
adult 15.2
bass 14.9
play 14.6
musician 14.4
sport 13.4
black 12
music 11.8
portrait 11.6
men 11.2
playing 10.9
brass 10.9
performer 10.9
wind instrument 10.7
happy 10.6
fashion 10.5
singer 9.8
guitar 9.7
fun 9.7
group 9.7
lifestyle 9.4
planner 9.4
model 9.3
outdoor 9.2
ball 8.8
boy 8.7
musical 8.6
hat 8.4
fan 8.4
active 8.4
trombone 8.4
guy 8.3
street 8.3
silhouette 8.3
competition 8.2
outdoors 8.2
professional 8.2
sexy 8
player 7.9
business 7.9
holiday 7.9
couple 7.8
rock 7.8
world 7.7
athlete 7.7
construction 7.7
dark 7.5
human 7.5
style 7.4
color 7.2
work 7.2
game 7.1
smile 7.1
women 7.1
job 7.1

Google
created on 2018-03-22

land vehicle 98.6
vehicle 91.7
black and white 86.4
car 83.6
musician 82.7
bicycle 76
music 74.5
crowd 71.9
recreation 68.9
monochrome 68.2
street 67.3
monochrome photography 66.2
musical ensemble 54.9
style 50.2

Microsoft
created on 2018-03-22

person 99.9
outdoor 90.4
people 78.3
group 68.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Male, 93.7%
Disgusted 1.1%
Confused 2%
Surprised 3.2%
Sad 2.4%
Angry 2.3%
Happy 5.5%
Calm 83.6%

AWS Rekognition

Age 20-38
Gender Male, 97.3%
Happy 5.4%
Angry 12.6%
Sad 44.8%
Surprised 3.2%
Disgusted 0.9%
Calm 28.6%
Confused 4.4%

AWS Rekognition

Age 48-68
Gender Male, 54.9%
Angry 45.8%
Happy 45.4%
Confused 46%
Calm 48.7%
Sad 48.1%
Disgusted 45.8%
Surprised 45.2%

AWS Rekognition

Age 45-66
Gender Male, 55%
Calm 54.2%
Angry 45.1%
Confused 45.1%
Sad 45.4%
Disgusted 45%
Surprised 45.1%
Happy 45.1%

AWS Rekognition

Age 35-53
Gender Male, 55%
Happy 45.1%
Surprised 45.1%
Sad 45.1%
Angry 45.2%
Calm 54.3%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 48-68
Gender Male, 54.8%
Angry 48.4%
Calm 47.8%
Sad 47.6%
Disgusted 45.4%
Surprised 45.1%
Confused 45.5%
Happy 45.3%

AWS Rekognition

Age 49-69
Gender Male, 54.4%
Surprised 45.6%
Disgusted 45.2%
Happy 45.5%
Sad 45.2%
Calm 52.8%
Angry 45.3%
Confused 45.5%

AWS Rekognition

Age 10-15
Gender Male, 54.9%
Disgusted 45.4%
Sad 46.2%
Confused 45.6%
Angry 48.2%
Calm 48.9%
Happy 45.2%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Sad 50.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Surprised 45.3%
Angry 45.5%
Sad 49.2%
Happy 45.1%
Disgusted 45.1%
Confused 45.7%
Calm 48.9%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Angry 50.4%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 49.5%
Happy 49.5%
Sad 49.8%
Confused 49.5%
Angry 49.6%
Disgusted 50%
Calm 49.5%

AWS Rekognition

Age 35-55
Gender Female, 52.6%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Sad 53.5%
Angry 45.8%
Happy 45.4%
Calm 45.1%

AWS Rekognition

Age 35-55
Gender Male, 50.5%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.7%
Angry 49.7%
Surprised 49.5%
Sad 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 50.4%
Surprised 49.5%
Disgusted 49.5%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.6%
Angry 49.6%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 49-69
Gender Female, 50%
Happy 49.5%
Calm 50%
Angry 49.5%
Sad 49.7%
Confused 49.6%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Surprised 49.6%
Calm 49.6%
Happy 49.6%
Sad 49.7%
Confused 49.6%
Angry 49.7%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Disgusted 50%
Happy 49.6%
Confused 49.5%
Sad 49.6%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Male, 54.3%
Surprised 45%
Disgusted 45%
Happy 45%
Sad 45.4%
Calm 54.4%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Calm 49.9%
Happy 49.6%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.6%
Confused 49.6%
Calm 49.9%
Happy 49.6%
Sad 49.8%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Disgusted 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50%
Confused 49.5%
Angry 49.5%
Calm 49.8%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 50.2%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.7%
Surprised 49.6%
Confused 49.5%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Disgusted 49.5%

Microsoft Cognitive Services

Age 76
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.1%
Sunglasses 98.4%
Motorcycle 96.7%
Wheel 83.2%

Categories

Imagga

paintings art 81.4%
people portraits 18.2%
nature landscape 0.2%
pets animals 0.1%