Photos | In the Realm of Steam and Shadows
A moment of admiration and inspection of a majestic steam locomotive, captured amid the tranquility of a forest.
Full Description:
This engaging photograph from the Tilden Steam Trains series features a man, possibly an engineer or enthusiast, attentively examining the intricate mechanics of a beautifully maintained steam locomotive. The image, taken on May 11, 2024, in a forest setting, perfectly encapsulates the union of nature and machine. The towering trees in the background provide a stark contrast to the gleaming metal of the train, highlighting the nostalgic allure of this historical form of transportation. This moment, captured under dappled sunlight, not only reflects a personal connection to the machine but also resonates with the timeless appeal of railway adventures. The shadows and natural light play dramatically across the scene, emphasizing the textures and reflections on the locomotive’s surface, and capturing the essence of a bygone era preserved through the lens of modern photography.
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
overall
(53.37%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(70.57%)
failure
(-0.15%)
harmonious color
(4.58%)
immersiveness
(0.42%)
interaction
(2.00%)
interesting subject
(46.00%)
intrusive object presence
(-5.81%)
lively color
(-0.77%)
low light
(7.40%)
noise
(-0.95%)
pleasant camera tilt
(-1.20%)
pleasant composition
(-43.90%)
pleasant lighting
(-35.60%)
pleasant pattern
(2.12%)
pleasant perspective
(15.10%)
pleasant post processing
(2.50%)
pleasant reflection
(-0.83%)
pleasant symmetry
(0.44%)
sharply focused subject
(3.27%)
tastefully blurred
(21.01%)
well chosen subject
(-19.15%)
well framed subject
(48.34%)
well timed shot
(31.32%)
all
(2.42%)
* 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.