Photos | Electric Nights at Coachella 2024

A mesmerizing evening under the lights at Coachella Weekend 2, capturing the spirit of the night life and the pulse of the crowd.
Full Description:
This photograph from Coachella 2024, taken on April 19th, encapsulates the vibrant atmosphere of a music festival at night. Featuring an expansive stage set against a backdrop of urban architecture, the image showcases a lively crowd immersed in the performance, illuminated by spectacular stage lighting. Shadows and silhouettes blend seamlessly with the architectural elements and the natural surroundings, reflecting the electrifying energy of the festival. Dominating the skyline are palm trees subtly lit, adding a distinctly Californian feel to the scene. The variety of lighting and the composition suggest the dynamism typical of such events, making it a memorable moment at Coachella, celebrated in this image under the album Coachella 2024 WK2.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2024-04-19T21:20:52.730000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.41%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.61%)
harmonious color
(0.05%)
immersiveness
(1.86%)
interaction
(1.00%)
interesting subject
(-25.95%)
intrusive object presence
(-3.66%)
lively color
(-21.37%)
low light
(98.49%)
noise
(-23.22%)
pleasant camera tilt
(-12.43%)
pleasant composition
(-56.74%)
pleasant lighting
(-33.62%)
pleasant pattern
(10.72%)
pleasant perspective
(6.74%)
pleasant post processing
(4.13%)
pleasant reflection
(-6.00%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.10%)
tastefully blurred
(-15.30%)
well chosen subject
(3.65%)
well framed subject
(-33.98%)
well timed shot
(11.99%)
all
(-2.19%)
* 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.