Photos | Electric Nights at Coachella 2024

Palm trees and vibrant lights set the scene at Coachella, encapsulating the vibrant nightlife and festive spirit during the festival's second weekend in April 2024.
Full Description:
This photograph, taken on the night of April 20, 2024, during the second weekend of Coachella 2024, showcases a lively crowd immersed in the festival atmosphere. Illuminated under the night sky, the scene is peppered with neon lights and the silhouettes of palm trees, highlighting the unique blend of nature and urban charm typical of Coachella. Festival-goers can be seen mingling, walking, and enjoying the outdoor setups, representing a slice of the diverse activities and experiences available at one of the most renowned music festivals in a beautiful desert landscape. The image captures the essence of summer fun, community gathering, and the colorful nightlife that makes Coachella a bucket-list event for many.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
64000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T20:59:30.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.98%)
harmonious color
(5.07%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-48.56%)
intrusive object presence
(-10.72%)
lively color
(-49.68%)
low light
(99.95%)
noise
(-8.89%)
pleasant camera tilt
(-7.84%)
pleasant composition
(-82.57%)
pleasant lighting
(-59.81%)
pleasant pattern
(1.49%)
pleasant perspective
(-2.47%)
pleasant post processing
(6.34%)
pleasant reflection
(5.55%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.10%)
tastefully blurred
(-30.81%)
well chosen subject
(16.27%)
well framed subject
(-44.58%)
well timed shot
(13.20%)
all
(-7.77%)
* 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.