Photos | Captivated by Steam: Young Wonder at the Tilden Train

A young boy, full of awe, peers at a steam train through a dusty window, the magic of early transportation capturing his imagination.
Full Description:
This poignant photograph was taken on May 11, 2024, at the famed Tilden Steam Trains and Merry-go-round, showcasing a tender moment where a young child is mesmerized by a classic steam train. Seen from a profile view, the child’s hand delicately touches the glass, symbolizing a tactile connection to a bygone era, as the illuminated details of the train shimmer through the smudged window. His expression, a blend of curiosity and admiration, evokes a sense of nostalgic wonder that transcends generations. The image captures not only a personal moment of discovery but also highlights the timeless allure of trains and the universal joy they bring to children and adults alike. This photo is a cherished addition to the 2024 album, fittingly documenting a visit filled with enchantment and educational exploration.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
6400
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-05-11T14:47:15.760000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.02%)
curation
(65.84%)
highlight visibility
(5.56%)
behavioral
(70.45%)
failure
(-1.49%)
harmonious color
(4.06%)
immersiveness
(0.59%)
interaction
(4.00%)
interesting subject
(-5.50%)
intrusive object presence
(-5.64%)
lively color
(-1.71%)
low light
(91.41%)
noise
(-6.20%)
pleasant camera tilt
(-0.97%)
pleasant composition
(-21.59%)
pleasant lighting
(-21.06%)
pleasant pattern
(2.88%)
pleasant perspective
(4.26%)
pleasant post processing
(9.61%)
pleasant reflection
(-3.85%)
pleasant symmetry
(0.46%)
sharply focused subject
(5.52%)
tastefully blurred
(21.23%)
well chosen subject
(1.06%)
well framed subject
(28.66%)
well timed shot
(20.79%)
all
(4.23%)
* 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.