Photos | Electric Nights at Coachella 2024: A Celebratory Showcase

A vibrant night under the festival lights, captured during Coachella 2024 Week 2, where music, joy, and colors blend into a perfect urban concert scene.
Full Description:
This exhilarating image from Coachella 2024 encapsulates the essence of modern music festivals. Taken on April 20th in a lively tent packed with an enthusiastic crowd, the photograph features dramatic stage lighting and vibrant colors that set the scene. Large colorful balloons add a playful touch, floating above the heads of a diverse audience immersed in the performance. Every element, from the beams of light cutting through the night to the collective gaze of the crowd, contributes to the atmosphere of shared excitement and celebration. This snapshot not only reflects the spirited nature of Coachella attendees but also artistically documents the urban, night-life vibe of one of the most iconic music festivals.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
51200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T15:18:01.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.45%)
failure
(-1.42%)
harmonious color
(2.20%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-9.29%)
intrusive object presence
(-6.67%)
lively color
(-30.83%)
low light
(99.76%)
noise
(-8.96%)
pleasant camera tilt
(-2.63%)
pleasant composition
(-58.25%)
pleasant lighting
(-37.67%)
pleasant pattern
(7.30%)
pleasant perspective
(1.17%)
pleasant post processing
(1.94%)
pleasant reflection
(0.29%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.46%)
tastefully blurred
(-16.75%)
well chosen subject
(4.53%)
well framed subject
(-47.71%)
well timed shot
(34.91%)
all
(-1.27%)
* 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.