Photos | Electric Nights at Coachella 2024

A vivid capture of the crowd at Coachella 2024, where the spirit of music lights up the night.
Full Description:
This photograph, taken on the evening of April 20, 2024, during the second weekend of Coachella, encapsulates a moment under the vibrant and bustling night sky. Illuminated by the powerful overhead stage lights and urban glow, festival-goers of various backgrounds are seen enjoying the live performances. Captured in the frame are the silhouettes of palm trees and the distinct outline of festival structures, adding an iconic touch to the scene. The image perfectly portrays the dynamic contrast of relaxed individuals seated amidst the energized standees, reflecting the diverse experiences found at one of the world's most famous music festivals. This photo not only celebrates the lively atmosphere and communal spirit of Coachella but also the individual moments of joy and contemplation among the attendees.
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
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:06:06.820000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.18%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.54%)
harmonious color
(5.51%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(-46.17%)
intrusive object presence
(-8.91%)
lively color
(-28.74%)
low light
(98.39%)
noise
(-17.09%)
pleasant camera tilt
(-11.05%)
pleasant composition
(-77.88%)
pleasant lighting
(-39.82%)
pleasant pattern
(3.34%)
pleasant perspective
(-4.21%)
pleasant post processing
(2.22%)
pleasant reflection
(3.24%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.12%)
tastefully blurred
(-5.00%)
well chosen subject
(11.39%)
well framed subject
(-56.54%)
well timed shot
(1.74%)
all
(-6.23%)
* 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.