Human Generated Data

Title

[Narrow gauge locomotive]

Date

1936-1937

People

Artist: Lyonel Feininger, American 1871 - 1956

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.212.4

Copyright

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

Human Generated Data

Title

[Narrow gauge locomotive]

People

Artist: Lyonel Feininger, American 1871 - 1956

Date

1936-1937

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.212.4

Copyright

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

Machine Generated Data

Tags

Amazon
created on 2019-11-19

Vehicle 98.4
Locomotive 98.4
Train 98.4
Transportation 98.4
Nature 97.8
Outdoors 97.4
Snow 92.2
Machine 91.1
Winter 87.4
Engine 82.5
Motor 82.5
Weather 72.4
Storm 70.4
Steam Engine 61.5
Ice 58.9
Blizzard 58.2

Clarifai
created on 2019-11-19

transportation system 96.6
vehicle 95.7
snow 93.6
winter 93.2
nature 92.2
smoke 92.2
car 91.6
light 90.7
desktop 90.2
city 86.9
travel 85.9
engine 84.4
motion 83.6
street 83.6
road 83.5
old 83.4
monochrome 82.9
ice 81.8
people 81.5
building 79.8

Imagga
created on 2019-11-19

nut and bolt 100
fastener 100
restraint 78.7
device 65
landscape 24.5
travel 23.2
radiator 22.1
sky 21.7
mechanism 21.1
winter 17
water 16.7
scenic 15.8
snow 15.2
sea 14.1
road 13.5
outdoor 13
cloud 12.9
building 12.7
ocean 12.4
vacation 12.3
coast 11.7
transportation 11.6
city 11.6
cold 11.2
clouds 11
architecture 10.9
old 10.4
scene 10.4
stone 10.2
light 10
horizon 9.9
mountain 9.8
sun 9.7
rock 9.5
line 9.4
day 9.4
park 9.1
scenery 9
sunset 9
outdoors 9
history 8.9
river 8.9
urban 8.7
ancient 8.6
speed 8.2
metal 8
night 8
cannon 8
black 7.8
tree 7.7
frost 7.7
tropical 7.7
texture 7.6
traffic 7.6
beach 7.6
drive 7.6
dark 7.5
sunrise 7.5
shore 7.4
tourism 7.4
street 7.4
holiday 7.2
trees 7.1
season 7

Google
created on 2019-11-19

Vehicle 63.7

Microsoft
created on 2019-11-19

Color Analysis

Categories

Imagga

cars vehicles 58.6%
food drinks 39%