Photos | Electric Nights at Coachella 2024

A vibrant spectacle of lights and music captures the audience at Coachella 2024, Week 2.
Full Description:
This striking photograph elevates the essence of Coachella, showcasing a packed crowd immersed in a dynamic concert experience on the night of April 19, 2024. The scene unfurls a technicolor dreamscape, where festival-goers, illuminated by their mobile phones, revel under a complex arrangement of geometric screens emitting a virtual mosaic of colors. The composition highlights urban vibes and electronics, as technology blends seamlessly with live entertainment, reflecting a quintessential moment of modern concert experiences. Peering through the array of spectating devices, the audience's engagement is palpable amidst silhouettes aglow from the stage's radiant energy. The setting underlines a union of artistic expression and communal celebration, definitive of Coachella's iconic festival culture.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
1250
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:40:16.610000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.98%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-1.37%)
harmonious color
(9.40%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(10.30%)
intrusive object presence
(-4.69%)
lively color
(-15.27%)
low light
(100.00%)
noise
(-3.64%)
pleasant camera tilt
(-5.73%)
pleasant composition
(-44.24%)
pleasant lighting
(-24.49%)
pleasant pattern
(8.62%)
pleasant perspective
(10.00%)
pleasant post processing
(0.50%)
pleasant reflection
(3.53%)
pleasant symmetry
(1.59%)
sharply focused subject
(0.66%)
tastefully blurred
(-8.86%)
well chosen subject
(5.25%)
well framed subject
(-30.00%)
well timed shot
(13.60%)
all
(2.17%)
* 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.