Photos | Electric Nights at Coachella 2024

A mesmerizing moment captured under the vibrant lights of Coachella Weekend 2, 2024.
Full Description:
This photo, taken during the second weekend of Coachella 2024, encapsulates the dynamic atmosphere of the festival. The sprawling crowd, consisting of an estimated forty-three individuals, is illuminated by stunning stage lighting that casts a mystical glow over the scene. Various festival-goers, including three prominently observed adult males, are seen enjoying the night, some donned in hats and casual festival attire, underscoring the eclectic and spirited nature of the event. The hues of purple and blue light enhance the urban backdrop of palm trees and structures, creating a surreal, almost other-worldly effect. This image not only captures the essence of Coachella's lively night-life but also the communal joy and the unifying power of music in a metropolis setting.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
16000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T22:19:52.450000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.86%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.76%)
harmonious color
(11.95%)
immersiveness
(3.44%)
interaction
(1.00%)
interesting subject
(33.33%)
intrusive object presence
(-4.81%)
lively color
(-3.55%)
low light
(98.97%)
noise
(-5.35%)
pleasant camera tilt
(-6.73%)
pleasant composition
(-17.36%)
pleasant lighting
(5.94%)
pleasant pattern
(14.11%)
pleasant perspective
(11.66%)
pleasant post processing
(-0.58%)
pleasant reflection
(7.36%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.42%)
tastefully blurred
(-3.73%)
well chosen subject
(-1.33%)
well framed subject
(-26.44%)
well timed shot
(16.44%)
all
(8.53%)
* 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.