Photos | Night Under the Lights: Coachella 2024

Throngs of festival-goers bask in the mesmerizing light show at Coachella, April 19, 2024.
Full Description:
This vivid photograph captures a dense and enthusiastic crowd at the Coachella Music Festival, second weekend of 2024. Taken on the evening of April 19th, the image portrays a sea of fans, their faces illuminated by the vibrant stage lighting amidst the striking silhouettes of palm trees. The scene is a fusion of dynamic urban energy and festive atmosphere, highlighted by the modern electronic aesthetics that permeate through the air, filled with both music and soft mists. The audience, diverse in ages and backgrounds, is united by their shared experience, showcasing a spectrum of emotions and reactions to the live performances. Each individual, some with mobile phones raised to capture the moment, adds to the collective tapestry of this mesmerizing night life event.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
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
2024-04-19T21:17:41.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.75%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-1.29%)
harmonious color
(-0.29%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-24.62%)
intrusive object presence
(-10.45%)
lively color
(-29.69%)
low light
(98.73%)
noise
(-28.20%)
pleasant camera tilt
(-8.49%)
pleasant composition
(-74.51%)
pleasant lighting
(-34.84%)
pleasant pattern
(8.72%)
pleasant perspective
(1.02%)
pleasant post processing
(3.29%)
pleasant reflection
(-2.35%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.99%)
well chosen subject
(6.82%)
well framed subject
(-49.10%)
well timed shot
(15.95%)
all
(-4.10%)
* 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.