Photos | Echoes of the Steam Age: Close-up of a Classic Locomotive

Intricate details of a steam locomotive captured mid-motion, showcasing the timeless engineering of early railway transportation.
Full Description:
This photograph, taken on May 11, 2024, highlights the captivating mechanical components of a steam locomotive at the Tilden Steam Trains Park. The image focuses on the robust, metallic textures and complex structures that powered the golden era of railway transit. Featured prominently is the brass boiler gauge and safety valve, elements critical to the operation of steam engines. The dark tones and glistening highlights of the engine contrast with the soft natural light filtering through the trees in the background, evoking a sense of history preserved in motion. This image is part of an album dedicated to exploring historical transportation, emphasizing the fusion of architecture, machinery, and the enduring spirit of the steam age.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
3200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T15:10:02.400000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.69%)
curation
(50.00%)
highlight visibility
(1.99%)
behavioral
(10.20%)
failure
(-2.49%)
harmonious color
(0.99%)
immersiveness
(0.73%)
interaction
(2.00%)
interesting subject
(-33.06%)
intrusive object presence
(-14.65%)
lively color
(-16.47%)
low light
(75.15%)
noise
(-3.59%)
pleasant camera tilt
(-3.53%)
pleasant composition
(-52.15%)
pleasant lighting
(-60.01%)
pleasant pattern
(2.69%)
pleasant perspective
(1.96%)
pleasant post processing
(0.73%)
pleasant reflection
(-5.54%)
pleasant symmetry
(1.76%)
sharply focused subject
(1.22%)
tastefully blurred
(-17.07%)
well chosen subject
(-14.42%)
well framed subject
(21.23%)
well timed shot
(8.82%)
all
(-6.20%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-turbo-2024-04-09
from
OpenAI)
using OpenAI's Vision functionality
, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.