Photos | Electric Nights at Coachella 2024

A vibrant scene captures the exhilarating ambiance of Coachella's second weekend, featuring the dramatic silhouette of the stage against a backdrop of iconic palm trees lit by colorful nightlife lights.
Full Description:
This photograph was taken on April 19, 2024, during the second weekend of Coachella 2024, encapsulating the essence of the festival's night life. The foreground is bustling with a diverse crowd of 17 attendees immersed in the dynamic atmosphere, highlighted by a mix of casual and expressive festival outfits and accessories including bags, backpacks, and glasses. The stage looms large on the left, with intricate lighting setups that cast an enigmatic glow over the scene, while the distant, softly lit palms emphasize the festival's picturesque urban location. The composition expertly merges elements of concert energy, urban nightlife, and the serene outdoors, making it a memorable snapshot of one of the year's biggest music festivals.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
2500
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2024-04-19T22:17:23.860000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.68%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-11.04%)
harmonious color
(-0.43%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-40.89%)
intrusive object presence
(-10.84%)
lively color
(-19.54%)
low light
(100.00%)
noise
(-7.54%)
pleasant camera tilt
(-12.27%)
pleasant composition
(-76.56%)
pleasant lighting
(-70.80%)
pleasant pattern
(5.44%)
pleasant perspective
(-9.74%)
pleasant post processing
(-1.78%)
pleasant reflection
(-1.62%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.07%)
tastefully blurred
(-49.58%)
well chosen subject
(0.92%)
well framed subject
(-46.12%)
well timed shot
(-4.97%)
all
(-11.33%)
* 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.