Photos | Electric Vibes: A Night at Coachella 2024

Capturing the essence of Coachella, where music and energy light up the desert night.
Full Description:
This photograph, taken on April 20, 2024, freezes a moment at the electrifying second weekend of Coachella 2024. The frame is filled with a captivated crowd, their silhouettes set against the massive, brightly lit stage that casts an ethereal glow. The image vividly captures the concert's vibrant atmosphere, highlighting the allure of live performances and the unique communal experience they offer. The stage, nearly alive with dynamic lighting and visual effects, showcases a band in performance, reminding viewers of the festival's power to gather diverse people together in celebration of music and art. This photograph not only reflects the intensity and joy of the concertgoers but also serves as a window into the sprawling, dynamic essence of urban nightlife and entertainment.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
6400
metering mode
5
aperture
f/3.2
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T23:03:07.140000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.81%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-2.39%)
harmonious color
(14.61%)
immersiveness
(2.81%)
interaction
(1.00%)
interesting subject
(3.31%)
intrusive object presence
(-8.86%)
lively color
(-1.67%)
low light
(99.80%)
noise
(-4.61%)
pleasant camera tilt
(-1.80%)
pleasant composition
(-11.57%)
pleasant lighting
(-4.50%)
pleasant pattern
(6.13%)
pleasant perspective
(6.99%)
pleasant post processing
(7.47%)
pleasant reflection
(-0.68%)
pleasant symmetry
(0.76%)
sharply focused subject
(1.61%)
tastefully blurred
(13.44%)
well chosen subject
(-10.29%)
well framed subject
(0.13%)
well timed shot
(36.55%)
all
(9.38%)
* 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.