Photos | Electrifying Encore at Coachella 2024

A mesmerizing late-night scene captures enthusiastic festival-goers under the brilliant stage lights at Coachella’s second weekend, April 19, 2024.
Full Description:
This photograph, taken at Coachella 2024 during the second weekend, encapsulates the vibrant spirit of a world-renowned music festival. Crowd members, silhouetted against the massive, lit-up stage, are immersed in the exhilarating performances. The lighting setup forms an intricate pattern showcasing advanced stage technology and creating an almost surreal backdrop with Palm trees lining the distant horizon. This image not only reflects the high-energy atmosphere of a rock concert but also evokes the essence of urban nightlife intertwined with outdoor festival culture. The architecture of the stage, combined with strategic lighting, enhances the dramatic effect of the scene, making this moment unforgettable for everyone present.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:47:40.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-2.08%)
harmonious color
(-5.23%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-59.91%)
intrusive object presence
(-7.69%)
lively color
(-31.84%)
low light
(100.00%)
noise
(-45.53%)
pleasant camera tilt
(-12.51%)
pleasant composition
(-71.83%)
pleasant lighting
(-76.86%)
pleasant pattern
(4.35%)
pleasant perspective
(-2.47%)
pleasant post processing
(-5.03%)
pleasant reflection
(-5.32%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.05%)
tastefully blurred
(-21.96%)
well chosen subject
(-1.24%)
well framed subject
(-32.40%)
well timed shot
(4.15%)
all
(-12.03%)
* 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.