Photos | Twilight Serenity at Coachella 2024

Quiet moments before the musical storm at Coachella, showcasing the serene Coachella Valley landscape enhanced by the evening glow.
Full Description:
This photograph from the second weekend of Coachella 2024 captures a rare, tranquil scene set against the busyness of the music festival. Taken on April 19th, the picture features a beautifully maintained lawn dotted with palm trees, providing a perfect backdrop for the large outdoor festival structures. Foregrounded are two distinctively wrapped boxes, hinting at the unseen preparations behind festival logistics. The setting sun bathes the scene in warm light, emphasizing the contrast between the calm of the nature and the anticipation of the festival activities. In the background, faint outlines of festival workers and the towering stage setup suggest the scale and excitement of the event, providing a multi-layered narrative about environment, preparation, and celebration.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2024-04-19T17:44:44.010000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.39%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.37%)
harmonious color
(10.70%)
immersiveness
(3.00%)
interaction
(1.00%)
interesting subject
(-11.65%)
intrusive object presence
(-9.62%)
lively color
(-9.50%)
low light
(43.07%)
noise
(-2.12%)
pleasant camera tilt
(-7.10%)
pleasant composition
(-15.41%)
pleasant lighting
(-6.38%)
pleasant pattern
(2.29%)
pleasant perspective
(26.54%)
pleasant post processing
(1.32%)
pleasant reflection
(3.09%)
pleasant symmetry
(0.95%)
sharply focused subject
(0.51%)
tastefully blurred
(-4.14%)
well chosen subject
(0.24%)
well framed subject
(-23.82%)
well timed shot
(4.91%)
all
(6.13%)
* 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.