Photos | Nocturnal Hustle: Behind the Scenes at Coachella 2024 WK2

A bustling night scene captures the diligent crew working under the glow of harsh spotlights and a floodlit tower at Coachella's 2024 Weekend 2.
Full Description:
This image, taken on the night of April 21, 2024, provides an intriguing glimpse into the backstage operations at Coachella. It features a group of nine individuals busily engaged in various tasks against a backdrop filled with vehicles and night lighting. The towering structure, bathed in light, showcases the grand scale and the intense preparations that go unseen by the festival attendees. The spotlight's flare adds a dramatic effect to the night sky, emphasizing the ongoing activity and the essential role of the support staff in ensuring the festival's success. This photo is part of the Coachella 2024 WK2 album, capturing the essence of the work and dedication that defines the festival behind the scenes.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
16000
metering mode
5
aperture
f/3.2
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:56:38.560000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.58%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.37%)
harmonious color
(0.44%)
immersiveness
(2.08%)
interaction
(1.00%)
interesting subject
(1.64%)
intrusive object presence
(-6.32%)
lively color
(-9.17%)
low light
(94.73%)
noise
(-44.04%)
pleasant camera tilt
(-5.84%)
pleasant composition
(-23.55%)
pleasant lighting
(-20.58%)
pleasant pattern
(17.80%)
pleasant perspective
(8.07%)
pleasant post processing
(-0.14%)
pleasant reflection
(-2.07%)
pleasant symmetry
(1.64%)
sharply focused subject
(0.78%)
tastefully blurred
(-9.72%)
well chosen subject
(-12.57%)
well framed subject
(-7.92%)
well timed shot
(13.34%)
all
(1.93%)
* 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.