Photos | Electric Nights at Coachella 2024

Nightfall at Coachella, where music, city lights, and digital life collide. Coachella Valley, April 19, 2024.
Full Description:
This atmospheric capture from the second weekend of Coachella 2024 encapsulates the essence of modern concerts in urban spaces. Amid rows of silhouetted concert-goers, the photo showcases a grand stage bathed in a vibrant palette of stage lightings and digital displays, illustrating an electrifying performance that blends sound and spectacle. Palm trees dotting the background offer a gentle reminder of the festival’s iconic Southern Californian setting. The image epitomizes the urban metropolis vibe mixed with a unique outdoor festival ambience, highlighting technology usage with several attendees capturing the moment on their mobile phones. This photograph not only portrays the dynamic energy of a rock concert but also serves as an ode to contemporary night life and entertainment culture.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
1600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2024-04-19T21:26:34.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-17.43%)
harmonious color
(0.20%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-37.84%)
intrusive object presence
(-5.27%)
lively color
(0.94%)
low light
(100.00%)
noise
(-11.23%)
pleasant camera tilt
(-8.13%)
pleasant composition
(-60.89%)
pleasant lighting
(-58.84%)
pleasant pattern
(5.93%)
pleasant perspective
(-10.05%)
pleasant post processing
(6.39%)
pleasant reflection
(-1.11%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.44%)
tastefully blurred
(-26.68%)
well chosen subject
(-3.74%)
well framed subject
(-43.09%)
well timed shot
(0.61%)
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.