Photos | Illuminated Ecstasy: Coachella 2024, Weekend 2

The vibrant pulse of Coachella as seen on April 20, 2024, captures the spirit and energy of a crowd immersed in a mesmerizing performance under the night sky.
Full Description:
This image from Coachella 2024 Weekend 2 encapsulates the quintessential festival experience, illustrating a vast crowd of attendees caught in a moment of euphoria. The photo, taken at 9:35 PM, showcases a sea of people, united by the rhythm and glow of the spotlight, with several attendees capturing the moment on their mobile phones. The mix of excitement and shared joy creates a palpable atmosphere of a quintessential urban rock concert, highlighted by vivid lighting and the late-night sky backdrop. This moment is not just about the music but about community, technology, and the modern concert-going experience, reflecting a diverse audience fully engaged in the collective thrill of live performance.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
32000
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:35:48.740000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-1.42%)
harmonious color
(3.96%)
immersiveness
(1.61%)
interaction
(1.00%)
interesting subject
(-25.10%)
intrusive object presence
(-21.14%)
lively color
(-10.91%)
low light
(72.56%)
noise
(-7.30%)
pleasant camera tilt
(-7.98%)
pleasant composition
(-64.55%)
pleasant lighting
(-43.38%)
pleasant pattern
(7.01%)
pleasant perspective
(-0.07%)
pleasant post processing
(3.39%)
pleasant reflection
(-2.89%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.56%)
tastefully blurred
(-7.48%)
well chosen subject
(3.42%)
well framed subject
(-61.82%)
well timed shot
(15.39%)
all
(-3.32%)
* 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.