Human Generated Data

Title

[Steam locomotive and tracks]

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.351.11

Copyright

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

Human Generated Data

Title

[Steam locomotive and tracks]

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.351.11

Copyright

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

Machine Generated Data

Tags

Amazon
created on 2019-05-29

Train Track 99.9
Railway 99.9
Transportation 99.9
Rail 99.9
Vehicle 97.7
Train 97.7
Locomotive 91.3
Train 69.7
Train 62.2
Shipping Container 57.6

Clarifai
created on 2019-05-29

smoke 99.7
railway 99.6
train 99.3
transportation system 99
vehicle 98.8
condensation 98.2
engine 97
people 96.9
locomotive 93.6
calamity 92.4
industry 90.6
track 90.3
no person 84.7
coal 83.9
accident 81.5
flame 79.9
war 78.1
group together 77.7
road 77.5
military 76.3

Imagga
created on 2019-05-29

steam locomotive 100
locomotive 100
wheeled vehicle 79.7
vehicle 51.7
train 39.5
railway 38.3
railroad 35.4
transportation 35
steam 35
transport 32
smoke 30.7
track 26.3
engine 25
sky 24.9
industry 23.1
rail 21.6
old 20.9
travel 20.4
industrial 19.1
road 18.1
power 16
landscape 15.6
freight 14.7
station 14.5
rural 14.1
vintage 14.1
tracks 13.8
pollution 13.5
outdoors 13.5
snow 13.4
outside 12.9
environment 12.3
cargo 11.6
factory 11.6
line 11.2
danger 10.9
coal 10.8
retro 10.7
steel 10.6
cloud 10.3
clouds 10.1
rails 8.9
metal 8.9
chimney 8.8
exteriors 8.8
fuel 8.7
cold 8.6
winter 8.5
trip 8.5
environmental 8.5
fire 8.4
scenery 8.1
steam train 7.9
steam engine 7.9
platform 7.9
forest 7.8
black 7.8
chemical 7.7
tree 7.7
move 7.7
way 7.6
drive 7.6
energy 7.6
wheel 7.6
journey 7.5
car 7.5
cloudy 7.5
iron 7.5
heat 7.4
speed 7.3
countryside 7.3
global 7.3
dirty 7.2
trees 7.1

Google
created on 2019-05-29

Microsoft
created on 2019-05-29

train 100
track 99.8
sky 99.2
locomotive 96.3
old 96.2
outdoor 94.9
steam 89
vehicle 86.9
land vehicle 82.2
black 80.8
white 66.8
rail 63.3
smoke 59.1
traveling 58.5
vintage 52
railroad 51.3
engine 43.7

Color Analysis

Feature analysis

Amazon

Train
Train 97.7%

Categories

Imagga

cars vehicles 99.9%

Captions

Google Gemini

Created by gemini-2.0-flash on 2025-05-12

Here's a description of the image:

The black and white photograph features several locomotives in a train yard. In the center of the frame, a steam engine labeled "2407" and "Santosa Ande WAB" is prominently visible. A plume of steam rises from one of the locomotives, adding a dynamic element to the scene. In the foreground, a network of train tracks crisscrosses the yard, leading the eye toward the trains. A freight car is partially visible on the left side of the image, while another locomotive sits in the background, further populating the yard. The overall image captures the industrial activity and scale of a train yard during a bygone era.

Created by gemini-2.0-flash-lite on 2025-05-12

Here's a description of the image:

The image captures a black and white scene of a railway yard, likely from an earlier era. The primary focus is on multiple steam locomotives parked on parallel tracks.

Here's a breakdown:

  • Locomotives: The central locomotive is prominent, emitting a large plume of smoke that dominates the sky. The side of the engine is clearly marked with "2407" and "Santora Anoe Was." Other locomotives are visible in the background and on the left, adding to the sense of a busy railway scene.
  • Rolling Stock: A freight car is positioned to the left, hinting at the cargo these trains might have carried.
  • Tracks: The foreground emphasizes the network of railway tracks, suggesting the infrastructure of a railway yard.
  • Atmosphere: The overall tone is quite vintage due to the black and white color scheme. The smoke from the engines and the overall setting give a sense of the industrial power of the time.

Text analysis

Amazon

Seor