Human Generated Data

Title

An angry crowd forms in Cambridge
Date

1964, printed 2010
People

Artist: Danny Lyon, American born 1942
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Anonymous Gift, 2012.38
Copyright

© Danny Lyon/Magnum Photos

Human Generated Data

Title

An angry crowd forms in Cambridge

People

Artist: Danny Lyon, American born 1942

Date

1964, printed 2010

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Anonymous Gift, 2012.38

Copyright

© Danny Lyon/Magnum Photos

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.8
Person 99.8
Person 99.7
Person 99.6
Person 99
Person 98.8
Person 98.3
Person 97.9
Person 97.6
Person 94.9
Person 92.9
Person 90
Apparel 88.6
Clothing 88.6
Helmet 86.5
Vehicle 82.4
Transportation 82.4
Helmet 79.3
Person 78
Person 75.4
Pedestrian 72.6
Automobile 72.5
Person 70.2
People 69
Car 68.2
Crowd 66.8
Tire 64.2
Face 60.6
Car 58.7
Text 57.4
Person 50.8

Clarifai
created on 2018-02-10

people 99.9
group together 99.7
many 99.5
group 98.7
adult 98
military 97.6
vehicle 96.8
war 96.8
several 96
administration 95.5
man 93.6
police 92.8
soldier 92.4
child 91.9
aircraft 90.9
leader 90.3
uniform 89.2
woman 87.3
wear 86.7
transportation system 85.7

Imagga
created on 2018-02-10

brass 47.8
man 31.6
people 26.8
male 25.7
pedestrian 23.7
person 21.4
accordion 21.2
park 17.3
adult 16.5
outdoors 15
working 14.1
outdoor 13.8
chair 13.5
happy 13.2
work 12.6
business 12.1
old 11.8
transportation 11.6
portrait 11
day 11
teenager 10.9
bench 10.9
smile 10.7
couple 10.4
men 10.3
sitting 10.3
lifestyle 10.1
together 9.6
grass 9.5
youth 9.4
car 9.4
student 9.3
casual 9.3
field 9.2
seat 9
summer 9
human 9
helmet 8.9
group 8.9
computer 8.9
businessman 8.8
vehicle 8.8
wheelchair 8.8
smiling 8.7
elderly 8.6
clothing 8.5
sit 8.5
laptop 8.5
senior 8.4
teen 8.3
uniform 8.3
holding 8.3
freedom 8.2
cornet 8.2
child 8
family 8
looking 8
home 8
women 7.9
boy 7.8
drum 7.8
travel 7.7
college 7.6
machine 7.6
wheel 7.5
equipment 7.5
mature 7.4
street 7.4
school 7.3
book 7.3
road 7.2
suit 7.2
love 7.1
job 7.1

Google
created on 2018-02-10

car 98.3
motor vehicle 95.3
vehicle 92.8
black and white 92
mode of transport 87.5
monochrome photography 84.8
photography 81.9
snapshot 81.8
street 78
monochrome 74.2
military 73.8
crowd 65.4
human behavior 60.3
sedan 58.1
style 51.9
compact car 50.2
troop 50.1

Microsoft
created on 2018-02-10

person 88.3
outdoor 87.6
crowd 0.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Male, 53.7%
Disgusted 47.8%
Sad 45.7%
Calm 49.2%
Surprised 45.2%
Happy 45.2%
Confused 45.2%
Angry 46.8%

AWS Rekognition

Age 45-66
Gender Female, 51.9%
Calm 45.5%
Angry 45.5%
Surprised 45.3%
Sad 52.4%
Disgusted 45.8%
Happy 45.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Disgusted 45.1%
Confused 45.5%
Angry 45.5%
Surprised 45.5%
Happy 45.1%
Sad 45.5%
Calm 52.7%

AWS Rekognition

Age 35-52
Gender Male, 53%
Sad 45.6%
Disgusted 46.1%
Confused 45.2%
Surprised 45.2%
Happy 45.2%
Angry 47.7%
Calm 50.1%

AWS Rekognition

Age 35-52
Gender Male, 97.8%
Angry 3.8%
Happy 2.7%
Disgusted 1%
Calm 81%
Sad 4.9%
Surprised 2.6%
Confused 3.9%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Confused 45.3%
Surprised 45.3%
Disgusted 45.6%
Happy 45.7%
Sad 47.9%
Calm 49.5%
Angry 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Angry 45.4%
Confused 45.4%
Surprised 45.3%
Calm 50.9%
Disgusted 45.5%
Sad 45.9%
Happy 46.6%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Surprised 45.2%
Angry 45.5%
Disgusted 45.3%
Confused 45.3%
Happy 45.3%
Calm 45.8%
Sad 52.6%

AWS Rekognition

Age 57-77
Gender Male, 54.1%
Happy 45.5%
Sad 47.9%
Disgusted 45.2%
Surprised 45.4%
Calm 50%
Confused 45.4%
Angry 45.6%

AWS Rekognition

Age 26-44
Gender Male, 50.6%
Disgusted 45.1%
Angry 45.1%
Calm 54.2%
Happy 45%
Sad 45.2%
Surprised 45.2%
Confused 45.1%

AWS Rekognition

Age 45-63
Gender Male, 54.6%
Angry 45.7%
Happy 45.3%
Confused 45.4%
Sad 45.8%
Surprised 45.4%
Calm 52.4%
Disgusted 45.2%

AWS Rekognition

Age 60-90
Gender Male, 54.9%
Confused 45.2%
Sad 45.2%
Calm 53.8%
Disgusted 45.2%
Angry 45.3%
Happy 45.1%
Surprised 45.2%

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Happy 49.5%
Sad 49.5%
Calm 50%
Confused 49.5%
Disgusted 49.8%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 49.7%
Calm 49.6%
Sad 49.8%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 54.3%
Happy 45.3%
Angry 45.3%
Disgusted 45.3%
Sad 45.4%
Surprised 45.2%
Calm 53.4%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Confused 49.5%
Disgusted 50.1%
Sad 49.7%
Angry 49.6%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Sad 50.2%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.8%
Surprised 49.5%
Angry 49.5%
Calm 49.6%
Disgusted 50%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54%
Surprised 45.1%
Happy 45.8%
Confused 45.1%
Angry 45.5%
Disgusted 45.4%
Calm 45.1%
Sad 53%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Calm 45.7%
Happy 53.1%
Disgusted 45.3%
Surprised 45.3%
Angry 45.2%
Sad 45.3%
Confused 45.2%

AWS Rekognition

Age 60-90
Gender Female, 50.4%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Sad 49.7%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Happy 50.1%

AWS Rekognition

Age 16-27
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Sad 50.5%
Surprised 49.5%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Disgusted 49.6%
Angry 49.6%
Calm 49.8%
Happy 49.6%
Sad 49.9%
Surprised 49.5%
Confused 49.6%

Feature analysis

Amazon

Person 99.8%
Helmet 86.5%
Car 68.2%

Text analysis

Amazon

DORSET
ED 3193
LAUNDRY
LAUNDRY CLEANING
CLEANING

Google

LAUNDAY DRY CLEANING ED 31-93 54
LAUNDAY
DRY
CLEANING
ED
31-93
54