Photos | Electric Nights: Coachella 2024 Under the Stars

A vibrant crowd basks in the dynamic lighting of a live performance at Coachella 2024. Captured during Weekend 2, a moment frozen in the pulse of night life.
Full Description:
This photograph from the 2024 Coachella Music Festival showcases a lively night scene during the second weekend of the event, dated April 19, 2024. The dense, excited crowd is illuminated by spectacular stage lighting and occasional flares, contributing to the intense atmosphere typical of rock concerts. Music lovers, predominantly adults, are seen enjoying the show, some donning hats, reveling in the musical ecstasy under a canopy of lights that mimics a starlit sky. The urban, outdoor setting magnifies the sense of a collective musical experience, merging city vibes with the natural serenity of the night. This image, rich with elements of light and joy, not only captures a moment but also the essence of Coachella's vibrant spirit.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
16000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:48:19.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.27%)
failure
(-10.84%)
harmonious color
(2.32%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-27.64%)
intrusive object presence
(-9.84%)
lively color
(-9.05%)
low light
(100.00%)
noise
(-12.06%)
pleasant camera tilt
(-5.34%)
pleasant composition
(-58.59%)
pleasant lighting
(-52.69%)
pleasant pattern
(4.22%)
pleasant perspective
(-4.60%)
pleasant post processing
(0.57%)
pleasant reflection
(1.15%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.63%)
tastefully blurred
(-6.60%)
well chosen subject
(-6.32%)
well framed subject
(-49.32%)
well timed shot
(19.32%)
all
(-4.13%)
* 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.