Photos | Man and Machine: Tending to the Tilden Steam Train

An engineer meticulously maintains the impressive mechanics of a vintage steam locomotive in the verdant forest of Tilden Park.
Full Description:
On May 11, 2024, amidst the towering trees and tranquil ambiance of Tilden Park, this photo captures a devoted engineer at work on the historical steam train. Dressed in casual work attire and a hat, the engineer attentively oils the locomotive parts, ensuring the smooth operation of this age-old mechanized marvel. The sunlight filtering through the trees adds a luminous quality to the scene, highlighting the juxtaposition of nature and machine—a testament to the enduring allure of heritage railways. This image, taken from the vibrant ‘Tilden Steam Trains and Merry-go-round’ album, is a splendid representation of the passion and dedication that go into preserving these mechanical giants for future generations.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
4000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T15:09:46.560000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.97%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.15%)
harmonious color
(5.29%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-11.44%)
intrusive object presence
(-8.86%)
lively color
(-0.58%)
low light
(6.23%)
noise
(-1.07%)
pleasant camera tilt
(-3.04%)
pleasant composition
(-64.40%)
pleasant lighting
(-21.83%)
pleasant pattern
(3.49%)
pleasant perspective
(10.66%)
pleasant post processing
(2.36%)
pleasant reflection
(-2.93%)
pleasant symmetry
(0.42%)
sharply focused subject
(2.12%)
tastefully blurred
(33.03%)
well chosen subject
(-10.21%)
well framed subject
(23.40%)
well timed shot
(14.61%)
all
(0.18%)
* 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,
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