Photos | Midnight Pulse: Coachella 2024 Under the Stars

A vibrant nighttime snapshot of Coachella 2024, capturing the festival's iconic illuminated art installations and silhouetted palms against a dark sky lit by a crescent moon.
Full Description:
This image, taken on the night of April 19, 2024, encapsulates the electrifying atmosphere of the second weekend at Coachella 2024. The photograph features a sprawling crowd of festival-goers bathed in ambient purple lighting, with the iconic silhouettes of palm trees framing the scene. In the background, the luminous Ferris wheel flanked by colorful, tent-like structures adds a vivacious contrast to the dark, starry night. This moment, set against an urban backdrop hinted at by distant lights, beautifully contrasts the festivity of human celebration with the tranquil infinity of the night sky, making it an emblematic capture of Coachella’s unique blend of nature, music, and art.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
25600
metering mode
5
aperture
f/2.8
exposure bias
-1.33
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T23:20:29.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-3.56%)
harmonious color
(3.62%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-23.79%)
intrusive object presence
(-7.98%)
lively color
(-8.13%)
low light
(100.00%)
noise
(-7.74%)
pleasant camera tilt
(-7.36%)
pleasant composition
(-37.01%)
pleasant lighting
(-57.81%)
pleasant pattern
(11.65%)
pleasant perspective
(3.53%)
pleasant post processing
(3.50%)
pleasant reflection
(1.20%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.20%)
tastefully blurred
(-18.80%)
well chosen subject
(5.35%)
well framed subject
(-12.40%)
well timed shot
(-2.34%)
all
(-3.26%)
* 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.