Photos | Electric Nights at Coachella 2024

A captivating concert moment under the vibrant stage lights at Coachella 2024, highlighting the energy of the crowd and the intensity of the live performance.
Full Description:
This photograph captures a dynamic scene from the Coachella 2024 music festival during its second weekend, dated April 20, 2024. The image is set in a sprawling tent filled with a lively audience bathed in warm amber and red lighting. The large crowd, engrossed by the electrifying performance, appears to sway in unison, showcasing the collective enjoyment of the music. Various elements such as high-tech stage setup, impactful use of lighting, and the visible joy on concertgoers' faces, highlight the essence of this iconic musical event. The strategic lighting setup not only illuminates the performers but also creates a surreal, almost dreamlike environment that encapsulates the unique Coachella experience.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
iso
1000
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
33.68
longitude
-116.24
shutter speed
1/60s
camera make
Apple
camera model
date
2024-04-20T16:23:09.701000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(58.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.85%)
harmonious color
(11.09%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(43.80%)
intrusive object presence
(-24.88%)
lively color
(-11.77%)
low light
(99.85%)
noise
(-5.37%)
pleasant camera tilt
(-3.35%)
pleasant composition
(-33.54%)
pleasant lighting
(-5.10%)
pleasant pattern
(3.37%)
pleasant perspective
(13.10%)
pleasant post processing
(15.55%)
pleasant reflection
(4.34%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.54%)
tastefully blurred
(-12.13%)
well chosen subject
(2.36%)
well framed subject
(-22.49%)
well timed shot
(57.28%)
all
(10.10%)
* 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.