Photos | Sunset Vibes at Coachella 2024

Crowds gather under the iconic stage structure as the sun sets over the desert skyline, creating a picturesque moment during the second weekend of Coachella 2024.
Full Description:
This compelling photograph captures a quintessential scene from Coachella 2024, taken on April 19th during the festival's second weekend. The image features the enormous stage with its advanced lighting and structural designs, set against a backdrop of a clear blue sky and distant palm trees silhouette by the setting sun. The ephemeral purple hues enhance the ambiance as festival-goers, dressed distinctively and immersed in the experience, add dynamic life to the scene. Inside the frame, various elements such as the steel truss work, powerful stage lighting, and the relaxed yet lively crowd of concert-goers combine to portray the vibrant and eclectic atmosphere unique to Coachella.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
33.68
longitude
-116.24
shutter speed
1/548s
camera make
Apple
camera model
date
2024-04-19T18:34:33.078000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(45.51%)
curation
(60.00%)
highlight visibility
(81.46%)
behavioral
(70.65%)
failure
(-0.20%)
harmonious color
(2.74%)
immersiveness
(0.76%)
interaction
(4.00%)
interesting subject
(-13.21%)
intrusive object presence
(-12.84%)
lively color
(4.77%)
low light
(88.38%)
noise
(-3.52%)
pleasant camera tilt
(-8.78%)
pleasant composition
(-61.04%)
pleasant lighting
(-22.62%)
pleasant pattern
(11.18%)
pleasant perspective
(19.36%)
pleasant post processing
(2.92%)
pleasant reflection
(-4.24%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.56%)
tastefully blurred
(2.21%)
well chosen subject
(-0.43%)
well framed subject
(-14.00%)
well timed shot
(12.46%)
all
(1.05%)
* 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.