Photos | Electric Nights at Coachella 2024

A vibrant moment from the second weekend of Coachella 2024, captured as music fans revel under a spectacular light show framed by iconic palm trees.
Full Description:
This photograph encapsulates the essence of Coachella, taken on the evening of April 19, 2024, during the festival's second weekend. The scene is set against a backdrop of illuminated palm trees and a dynamic stage setup, highlighting the festival's urban appeal. The crowd, a diverse tapestry of concert-goers, is caught in various acts of enjoyment; some are filming the event, while others are completely absorbed by the atmosphere. Visible are hints of personal style in the form of jewelry and other accessories, adding individuality to the collective experience. This image not only portrays the electric energy of a live music event but also the communal spirit of Coachella, making it a standout moment of the festival.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
32000
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2024-04-19T21:19:30.080000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.30%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-4.32%)
harmonious color
(-1.68%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-34.13%)
intrusive object presence
(-28.71%)
lively color
(-28.52%)
low light
(99.90%)
noise
(-17.21%)
pleasant camera tilt
(-10.63%)
pleasant composition
(-79.64%)
pleasant lighting
(-69.73%)
pleasant pattern
(3.20%)
pleasant perspective
(-7.28%)
pleasant post processing
(-1.39%)
pleasant reflection
(-4.36%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.07%)
tastefully blurred
(-29.10%)
well chosen subject
(9.53%)
well framed subject
(-42.14%)
well timed shot
(13.38%)
all
(-9.99%)
* 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.