Photos | Moonlit Pathway: A Night at Coachella 2024

Under the watchful eye of the moon, this quiet path girded by a spiked fence captures the serene side of Coachella away from the bustling crowds.
Full Description:
Taken during the second weekend of Coachella 2024, this image provides a stark contrast to the typical festival scenes of music and revelry. Captured on the night of April 21, 2024, the photo highlights the stillness of the outdoor environment enhanced by natural and artificial lights. The moon illuminates the pathway flanked by a metal fence with sharp, elongated shadows cast on the concrete, adding a layer of intrigue and texture to the scene. Architecture looms in the background with dim outlines, suggesting the presence of festival structures or nearby buildings. This composition not only showcases the festival's infrastructure but also subtly hints at the interplay between man-made elements and the natural world at night.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:56:30.500000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.51%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.23%)
failure
(-0.42%)
harmonious color
(7.51%)
immersiveness
(10.21%)
interaction
(1.00%)
interesting subject
(9.08%)
intrusive object presence
(-10.33%)
lively color
(-18.64%)
low light
(96.63%)
noise
(-21.31%)
pleasant camera tilt
(-7.68%)
pleasant composition
(2.55%)
pleasant lighting
(-13.22%)
pleasant pattern
(44.97%)
pleasant perspective
(24.76%)
pleasant post processing
(10.75%)
pleasant reflection
(5.53%)
pleasant symmetry
(2.73%)
sharply focused subject
(0.39%)
tastefully blurred
(2.50%)
well chosen subject
(1.82%)
well framed subject
(-9.33%)
well timed shot
(13.06%)
all
(9.27%)
* 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.