Photos | Electric Nights at Coachella 2024

A mesmerizing moment captured during the second weekend of Coachella 2024, showcasing a sea of fans illuminated by the dynamic stage lights and entranced by the live performance.
Full Description:
This vibrant photograph from Coachella 2024, dated April 20th, encapsulates the essence of a live concert experience amidst the vast expanse of the festival grounds. The image features a diverse crowd of approximately 32 people, predominantly urban adults, engaging with the performance through a multitude of glowing screens. The stage's grandeur is highlighted by intense lighting effects that cast an ethereal glow over the attendees, who range from ecstatic adults to enthralled children. This scene not only reflects the collective exhilaration of live music but also the unique cultural interactions that occur within such a dynamic setting, making it a quintessential snapshot of festival life and modern concert engagement.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
20000
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:35:47.840000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.57%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.27%)
failure
(-1.32%)
harmonious color
(2.14%)
immersiveness
(2.27%)
interaction
(1.00%)
interesting subject
(-44.31%)
intrusive object presence
(-30.44%)
lively color
(-15.73%)
low light
(95.95%)
noise
(-8.06%)
pleasant camera tilt
(-9.20%)
pleasant composition
(-68.36%)
pleasant lighting
(-68.70%)
pleasant pattern
(7.03%)
pleasant perspective
(-3.86%)
pleasant post processing
(2.74%)
pleasant reflection
(-5.19%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.20%)
tastefully blurred
(-12.56%)
well chosen subject
(1.16%)
well framed subject
(-53.08%)
well timed shot
(25.07%)
all
(-5.97%)
* 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.