Photos | Moonlit Encampment at Coachella 2024

A serene night scene captures a variety of vehicles and trailers under a starlit sky at Coachella, reflecting a temporary community amid the festival's excitement.
Full Description:
Photographed on 21st April 2024, this image encapsulates the quieter side of Coachella's bustling festival grounds. Under the glow of the night sky, a diverse assembly of vehicles, including sedans, RVs, and trailers, are scattered across a well-tended lawn. The setting is further dramatized by the silhouette of palm trees against the night sky and distant festival lights, painting a picture of calm amidst a celebratory storm. Noteworthy is the presence of people and animals, subtly hinted at by the composition, adding life to the nocturnal festival landscape. This image is part of the Coachella 2024 WK2 album, showcasing the varied facets of the festival experience.
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
2024-04-21T00:48:07.510000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.18%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-1.46%)
harmonious color
(1.97%)
immersiveness
(2.54%)
interaction
(1.00%)
interesting subject
(-49.37%)
intrusive object presence
(-19.46%)
lively color
(-19.59%)
low light
(77.00%)
noise
(-35.52%)
pleasant camera tilt
(-6.41%)
pleasant composition
(-31.52%)
pleasant lighting
(-33.76%)
pleasant pattern
(4.44%)
pleasant perspective
(7.61%)
pleasant post processing
(6.68%)
pleasant reflection
(0.52%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.63%)
tastefully blurred
(-6.51%)
well chosen subject
(-5.57%)
well framed subject
(-12.61%)
well timed shot
(-2.54%)
all
(-2.33%)
* 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.