Photos | Electric Nights at Coachella 2024

Capturing the vibrant energy and sprawling crowd at Coachella’s second weekend under the glow of a night sky and dazzling stage lights, April 20, 2024.
Full Description:
This photograph vividly portrays the essence of Coachella, one of the most renowned music festivals held annually in Indio, California. The image captures a dense crowd of festival-goers immersed in the electrifying performance of a headlining act during the second weekend of Coachella 2024. The expansive audience, bathed in the intense hues from the stage lights and set against the night sky peppered with an urban backdrop, emphasizes the enormity and energy of this iconic event. Highlights of blue and white lights streak through the night, enhancing the dynamic atmosphere. The scene is a testament not only to the musical and artistic performances but also to the communal experience that defines Coachella.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
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
2024-04-20T21:37:06.560000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.96%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-1.07%)
harmonious color
(2.35%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-33.40%)
intrusive object presence
(-16.89%)
lively color
(-33.35%)
low light
(99.17%)
noise
(-43.21%)
pleasant camera tilt
(-4.62%)
pleasant composition
(-46.58%)
pleasant lighting
(-48.97%)
pleasant pattern
(4.57%)
pleasant perspective
(7.04%)
pleasant post processing
(0.59%)
pleasant reflection
(-5.74%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.12%)
tastefully blurred
(-20.83%)
well chosen subject
(-8.45%)
well framed subject
(-36.13%)
well timed shot
(48.41%)
all
(-1.58%)
* 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.