Human Generated Data

Title

[Large group waiting on dock for ship with many people]

Date

1936

People

Artist: Lyonel Feininger, American 1871 - 1956

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.312.18

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Human Generated Data

Title

[Large group waiting on dock for ship with many people]

People

Artist: Lyonel Feininger, American 1871 - 1956

Date

1936

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.312.18

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Machine Generated Data

Tags

Amazon
created on 2019-05-29

Human 99.7
Person 99.7
Person 99.6
Person 99.6
Person 99.5
Person 98.8
Person 98.6
Person 97.7
Person 97.4
Person 97.2
Person 96.3
Clothing 96
Apparel 96
Person 94.5
Person 92.9
Person 92.4
Person 91.9
Vehicle 91.6
Transportation 91.6
Boat 91.6
Person 87.4
Person 86
Person 84.4
Person 77.2
Person 76.7
Person 76.2
People 74.8
Sailor Suit 69.1
Person 65.2
Person 64.6
Military 64.3
Hat 64
Person 63.3
Crowd 60.2
Shorts 59.9
Person 59.9
Person 59.1
Watercraft 55.5
Vessel 55.5
Officer 55.1
Military Uniform 55.1
Person 44.2

Clarifai
created on 2019-05-29

people 99.9
group together 99.6
watercraft 99.2
many 99.1
vehicle 98.8
group 98.7
adult 97.4
man 96.9
transportation system 96.5
military 96
administration 93.9
several 92.4
warship 91.3
woman 91.2
crowd 91.1
aircraft 89.3
war 88.8
navy 86.2
recreation 85.9
spectator 85.4

Imagga
created on 2019-05-29

stage 27.8
platform 22.9
brass 22.1
trombone 19.4
sky 18.5
business 18.2
wind instrument 17.8
building 16.8
man 16.8
city 15.8
people 15.6
musical instrument 14.3
male 14.2
urban 14
ship 13.1
transportation 12.5
silhouette 12.4
equipment 12.2
industry 11.9
architecture 11.7
person 11.5
boat 11.1
construction 11.1
power 10.9
industrial 10.9
travel 10.6
metal 10.4
technology 10.4
modern 9.8
steel 9.7
work 9.4
lifestyle 9.4
outdoor 9.2
worker 8.9
vessel 8.9
device 8.8
water 8.7
high 8.7
sea 8.6
passenger 8.6
vacation 8.2
danger 8.2
structure 8.1
group 8.1
tower 8
black 7.8
rope 7.8
glass 7.8
photographer 7.7
leisure 7.5
ocean 7.5
outdoors 7.5
safety 7.4
office 7.3
reflection 7.3
protection 7.3
adult 7.2
cable 7.1
summer 7.1

Google
created on 2019-05-29

Photograph 95.9
People 94.3
Black-and-white 87.2
Snapshot 86.7
Crowd 84.8
Monochrome 79.4
Crew 73.5
Photography 72.5
Ship 70.3
Monochrome photography 69.6
Team 67.7
Street 61.7
Vehicle 56.3
Style 55

Microsoft
created on 2019-05-29

sky 99.8
person 99.4
ship 99.3
black and white 98.3
outdoor 97.2
clothing 92.7
walking 76.7
street 72.5
man 72.3
people 70.9
monochrome 69.4
group 59.7
crowd 29.1
line 18.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Disgusted 45.1%
Angry 45.1%
Calm 54.1%
Confused 45.1%
Sad 45.3%
Surprised 45.1%
Happy 45%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Disgusted 49.5%
Calm 50%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52%
Confused 45.2%
Happy 45.1%
Surprised 45.4%
Calm 52.2%
Sad 46.2%
Angry 45.7%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 50.2%
Disgusted 49.5%
Angry 49.5%
Happy 49.6%
Surprised 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.2%
Disgusted 49.8%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Sad 49.8%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50.3%
Surprised 49.6%
Calm 49.7%
Happy 49.6%
Confused 49.6%
Sad 49.7%
Disgusted 49.7%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 50%
Angry 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Sad 49.6%
Calm 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.9%
Happy 49.5%
Calm 50%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.8%
Surprised 49.6%
Sad 49.6%
Calm 49.5%
Angry 49.8%
Disgusted 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Calm 49.7%
Angry 49.8%
Confused 49.6%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.7%
Surprised 49.6%
Happy 49.5%
Calm 49.8%
Confused 49.6%
Sad 49.8%

Feature analysis

Amazon

Person 99.7%
Boat 91.6%

Categories

Text analysis

Amazon

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