Photos | Steel Sentinel of the Tracks: The Classic Oak Steam Locomotive

Captured in the enchanting woods at Tilden Park, the historic Oak steam locomotive stands proud, exuding a timeless charm under the dappled sunlight.
Full Description:
On the sunlit afternoon of May 11, 2024, inside the shady enclave of Tilden Park's steam train depot, this powerful image of the Oak steam locomotive showcases its sturdy build and intricate detailing. The photograph subtly highlights the riveting work and mechanical complexity inherent in early 20th-century railway engineering. With its shining nameplate, gleaming gauges, and robust framework, the locomotive not only serves as a functional piece of transportation history but also as a symbol of the ingenuity and perseverance that powered the era's rail-bound giants. This train forms part of the facilitated album capturing the allure of Tilden's Steam Trains and Merry-go-round—a nostalgic nod to an era where steam was the monarch of movement.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T15:09:48.950000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.51%)
curation
(50.00%)
highlight visibility
(1.99%)
behavioral
(10.13%)
failure
(-1.12%)
harmonious color
(5.20%)
immersiveness
(1.12%)
interaction
(2.00%)
interesting subject
(-43.58%)
intrusive object presence
(-4.05%)
lively color
(-8.41%)
low light
(91.21%)
noise
(-3.27%)
pleasant camera tilt
(-5.50%)
pleasant composition
(-33.72%)
pleasant lighting
(-15.63%)
pleasant pattern
(5.10%)
pleasant perspective
(18.26%)
pleasant post processing
(10.96%)
pleasant reflection
(-5.83%)
pleasant symmetry
(2.64%)
sharply focused subject
(5.71%)
tastefully blurred
(18.44%)
well chosen subject
(-5.35%)
well framed subject
(17.44%)
well timed shot
(4.86%)
all
(3.13%)
* 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.