Photos | Electric Nights: Coachella 2024 Weekend 2

A mesmerizing night under the neon lights at Coachella, captured on April 19, 2024, as festivalgoers immerse in the vibrant music and urban oasis.
Full Description:
This stunning photograph from Coachella 2024 Weekend 2 captures the essence of a concert crowd immersed in a spectacle of sound and light. Taken on the evening of April 19, 2024, the scene is set against a backdrop of towering stages and iconic palm trees, illuminated by the dynamic lighting of the festival. The crowd, a diverse mix of lively attendees, is dotted with visible elements like glowing headbands and fashionable hats, highlighting the unique style and energy that defines Coachella. This image not only encapsulates the urban and lively atmosphere of one of the most awaited music festivals but also serves as a vibrant documentation of night life and communal joy in a modern metropolis setting.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2024-04-19T21:21:59.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-2.61%)
harmonious color
(-0.24%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-49.15%)
intrusive object presence
(-8.84%)
lively color
(-23.56%)
low light
(100.00%)
noise
(-3.17%)
pleasant camera tilt
(-12.09%)
pleasant composition
(-80.71%)
pleasant lighting
(-67.38%)
pleasant pattern
(4.71%)
pleasant perspective
(-2.94%)
pleasant post processing
(-8.90%)
pleasant reflection
(-2.98%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.12%)
tastefully blurred
(-13.05%)
well chosen subject
(5.58%)
well framed subject
(-45.58%)
well timed shot
(3.91%)
all
(-10.37%)
* 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.