Photos | Electric Nights at Coachella 2024

Capturing the vibrant essence of Coachella, this night under the desert sky lights up with mesmerizing stage visuals and an electrifying crowd.
Full Description:
Taken on the evening of April 20, 2024, during the second weekend of Coachella, this photograph encapsulates the electrifying atmosphere of the festival. The vast crowd, bathed in the glow of massive, vivid screens, reflects the quintessential Coachella experience—uniting music lovers from around the globe. The stage, adorned with high-definition displays, showcases stunning visual art, enhancing the performances and creating an immersive experience. Amidst the sea of spectators, the excitement and shared joy are palpable, with many capturing the moment on their phones. This image is a true representation of modern concert-going, where technology and tradition merge to create unforgettable nights.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
800
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2024-04-20T22:49:23.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(53.17%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.63%)
harmonious color
(7.34%)
immersiveness
(1.07%)
interaction
(1.00%)
interesting subject
(-11.11%)
intrusive object presence
(-13.13%)
lively color
(-25.15%)
low light
(99.66%)
noise
(-2.98%)
pleasant camera tilt
(-6.39%)
pleasant composition
(-74.71%)
pleasant lighting
(-25.46%)
pleasant pattern
(2.98%)
pleasant perspective
(4.30%)
pleasant post processing
(8.63%)
pleasant reflection
(0.75%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.22%)
tastefully blurred
(-0.21%)
well chosen subject
(17.55%)
well framed subject
(-46.80%)
well timed shot
(7.79%)
all
(-1.10%)
* 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.