Photos | Lively Nights at Coachella 2024

Festival-goers immerse in the vibrant nightlife under illuminated palm trees near a bustling bar tent at Coachella, April 20, 2024.
Full Description:
This nighttime snapshot from Coachella 2024 captures the essence of the festival after the sun has set. Under a sky shrouded in darkness, the scene is lively with people meandering or briefly pausing their festival journey around a brightly lit bar area. The palm trees aglow with purple lighting add a surreal, almost otherworldly dimension to the setting. It’s a typical scene of urban festival life where music, merriment, and the collective experiences of festival-goers converge. The image not only reflects the vibrant outdoor atmosphere but also the varied and lively crowd that gathers in these shared spaces, emphasizing the universal appeal and varied experiences that Coachella offers.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T20:13:25.450000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.81%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-1.00%)
harmonious color
(2.59%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-45.21%)
intrusive object presence
(-10.03%)
lively color
(-44.38%)
low light
(99.17%)
noise
(-16.21%)
pleasant camera tilt
(-8.07%)
pleasant composition
(-79.05%)
pleasant lighting
(-54.25%)
pleasant pattern
(2.10%)
pleasant perspective
(2.36%)
pleasant post processing
(3.88%)
pleasant reflection
(4.25%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.07%)
tastefully blurred
(-23.16%)
well chosen subject
(-0.78%)
well framed subject
(-54.44%)
well timed shot
(12.89%)
all
(-7.68%)
* 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.