Photos | Steaming Into History: The Vigor of Vintage Locomotion

Close-up view inside the control cab of a classic steam locomotive at Tilden Steam Trains, captured with an atmospheric play of light.
Full Description:
This photograph takes viewers inside the heartbeat of a classic steam engine, part of the Tilden Steam Trains collection, photographed on May 11, 2024. The image highlights the intricate details and robust components that powered early railway transportation. The dominant metallic textures and subtle gleam of light reflecting off the surfaces evoke a sense of nostalgia and engineering wonder. Not visible in the frame, a person, likely the engineer, operates or oversees the machine, suggesting the human element essential to the operation and maintenance of these historic trains. This image not only documents a technological artifact but also celebrates the enduring legacy of steam-powered transportation in the modern era.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
12800
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T15:10:07.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.84%)
curation
(50.00%)
highlight visibility
(2.44%)
behavioral
(70.25%)
failure
(-6.35%)
harmonious color
(-2.15%)
immersiveness
(1.05%)
interaction
(2.00%)
interesting subject
(-55.47%)
intrusive object presence
(-4.30%)
lively color
(-14.28%)
low light
(99.12%)
noise
(-8.79%)
pleasant camera tilt
(-5.68%)
pleasant composition
(-49.37%)
pleasant lighting
(-47.09%)
pleasant pattern
(4.64%)
pleasant perspective
(1.54%)
pleasant post processing
(4.96%)
pleasant reflection
(-6.07%)
pleasant symmetry
(0.88%)
sharply focused subject
(2.39%)
tastefully blurred
(-14.98%)
well chosen subject
(-3.21%)
well framed subject
(-14.92%)
well timed shot
(-1.31%)
all
(-5.04%)
* 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.