Photos | Command Center at Coachella 2024

An inside view into the high-tech nerve center controlling the pulsating beats and light shows at Coachella.
Full Description:
This captivating shot from the second weekend of Coachella 2024 reveals the complexity and technological prowess behind the scenes of one of the world’s most famous music festivals. A group of tech operators, clad in casual night gear and hats, manage a myriad of electronic devices including laptops, multiple monitors, and advanced lighting controls. The colorful, illuminated interfaces reflect the sophistication of the equipment used to synchronize and enhance performances on stage. In the background, the crowd can be glimpsed in mid-celebration, soaking in the vibrant atmosphere created by these unseen masters of the digital arts. Additionally, this image showcases the diverse elements of festival life where technology meets human interaction in a lively night-time setting.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
20000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T19:55:11-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.31%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-2.10%)
harmonious color
(4.40%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(-44.26%)
intrusive object presence
(-3.61%)
lively color
(-14.31%)
low light
(99.85%)
noise
(-9.84%)
pleasant camera tilt
(-10.21%)
pleasant composition
(-64.50%)
pleasant lighting
(-39.97%)
pleasant pattern
(6.13%)
pleasant perspective
(-7.09%)
pleasant post processing
(5.60%)
pleasant reflection
(0.94%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.63%)
tastefully blurred
(-4.70%)
well chosen subject
(-11.27%)
well framed subject
(-52.44%)
well timed shot
(2.71%)
all
(-4.84%)
* 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.