Photos | In the Heart of Steam and Timber

A moment in time captures the dedication and skill of maintaining a classic steam engine, surrounded by the serene embrace of a forest backdrop.
Full Description:
In this photograph from the Tilden Steam Trains and Merry-go-round album, taken on an unusually warm spring day in 2024, we observe an adult male expertly tending to a vintage steam engine amidst the lush greenery of a forest. The sun filters light through towering trees, highlighting his focus and the precise movements required for the upkeep of this historic locomotive. He is dressed in practical outdoor clothing — a baseball cap, sturdy footwear, and durable pants, all suitable for his task. This image encapsulates the harmonious blend of human ingenuity and nature, emphasizing the enduring legacy of traditional rail transportation. The combination of technical mastery and the tranquil, wooded setting evokes a sense of timelessness and passion for historic transportation methods.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T15:10:10.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.11%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.61%)
harmonious color
(0.62%)
immersiveness
(1.12%)
interaction
(2.00%)
interesting subject
(-38.57%)
intrusive object presence
(-3.56%)
lively color
(12.14%)
low light
(2.98%)
noise
(-1.86%)
pleasant camera tilt
(-1.97%)
pleasant composition
(-41.50%)
pleasant lighting
(-35.74%)
pleasant pattern
(3.98%)
pleasant perspective
(2.58%)
pleasant post processing
(-0.90%)
pleasant reflection
(-0.05%)
pleasant symmetry
(0.27%)
sharply focused subject
(3.13%)
tastefully blurred
(10.41%)
well chosen subject
(-14.40%)
well framed subject
(6.79%)
well timed shot
(2.98%)
all
(-1.55%)
* 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.