Photos | Electric Vibes Under the Coachella Moonlight

A captivating night at Coachella 2024, where music, lights, and palm silhouettes create an unforgettable urban festival scene.
Full Description:
Captured on the evening of April 20th, 2024, this vibrant photograph showcases the electric atmosphere of the second weekend of Coachella 2024. The stage is alight with dynamic colors and beams that cut through the mist of the night, adding a layer of mystique to the entire setting. A massive, brightly-lit screen displays a dynamic performer, bringing energy to the crowd that fills every inch of the frame. Audience members, adorned with casual, fashionable festival wear—hats, bags, and varying accessories—immerse themselves in the musical experience. In the background, the desert night is not just dark but decorated with a crisp crescent moon and iconic Coachella palm trees, emphasizing the unique blend of nature and electricity that this festival embodies.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T18:48:25.130000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.89%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.46%)
harmonious color
(15.55%)
immersiveness
(1.34%)
interaction
(1.00%)
interesting subject
(20.75%)
intrusive object presence
(-5.15%)
lively color
(-1.45%)
low light
(99.41%)
noise
(-2.39%)
pleasant camera tilt
(-7.28%)
pleasant composition
(-26.27%)
pleasant lighting
(9.06%)
pleasant pattern
(9.35%)
pleasant perspective
(20.58%)
pleasant post processing
(-0.27%)
pleasant reflection
(0.59%)
pleasant symmetry
(1.93%)
sharply focused subject
(0.54%)
tastefully blurred
(0.66%)
well chosen subject
(5.89%)
well framed subject
(-10.47%)
well timed shot
(17.19%)
all
(9.09%)
* 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.