Photos | Electric Excitement: Coachella Night Scene 2024

A vibrant night at Coachella 2024, capturing the dynamic energy and enthusiasm of the bustling crowd under a purple-tinged sky.
Full Description:
This photograph was taken on the evening of April 19, 2024, during the second weekend of Coachella 2024. It showcases a panoramic view of an electrified crowd, bathed in a mystical purple hue that reflects the festival's vibrant lighting and dynamic atmosphere. The background features iconic silhouettes of palm trees and a glowing festival tent, emblematic of the Coachella experience. The diverse audience, including several individuals wearing hats and engaging with the event, adds to the lively urban and cultural tapestry of the scene. This image encapsulates the essence of a modern metropolis transformed by the collective spirit of music lovers and the exhilarating pulse of night life.
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
2024-04-19T21:17:10.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.10%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-3.22%)
harmonious color
(-0.07%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-37.87%)
intrusive object presence
(-6.76%)
lively color
(-25.10%)
low light
(99.51%)
noise
(-25.17%)
pleasant camera tilt
(-5.88%)
pleasant composition
(-65.19%)
pleasant lighting
(-51.27%)
pleasant pattern
(4.35%)
pleasant perspective
(-6.61%)
pleasant post processing
(-5.98%)
pleasant reflection
(-0.14%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.20%)
tastefully blurred
(-20.26%)
well chosen subject
(7.88%)
well framed subject
(-48.32%)
well timed shot
(17.69%)
all
(-6.52%)
* 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.