Photos | Electric Night: The Pulse of Coachella 2024

A sea of spirited music lovers under the starlit sky, captured live at Coachella 2024, Weekend 2.
Full Description:
This vibrant photograph encapsulates the essence of Coachella, taken during the second weekend of the 2024 festival on April 20th. The image buzzes with the energy of a diverse crowd of concert-goers, with their attention fixed on the spectacle ahead. Radiating energy, excitement, and community, the scene highlights the magic of night concerts as attendees from different walks of life come together, united by music. The festive array of clothing, headgear, and handbags, enhanced by the mild blur of nighttime lighting, adds a dynamic texture to the snapshot, symbolizing the festival's rich, eclectic atmosphere. This photo not only captures a moment of collective joy but also the cultural tapestry that Coachella represents.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
32000
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T23:00:07.440000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.63%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.44%)
harmonious color
(1.89%)
immersiveness
(1.15%)
interaction
(1.00%)
interesting subject
(10.93%)
intrusive object presence
(-11.91%)
lively color
(-0.03%)
low light
(39.62%)
noise
(-5.40%)
pleasant camera tilt
(-5.40%)
pleasant composition
(-47.80%)
pleasant lighting
(-9.91%)
pleasant pattern
(12.04%)
pleasant perspective
(3.39%)
pleasant post processing
(-3.93%)
pleasant reflection
(2.92%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.66%)
tastefully blurred
(4.10%)
well chosen subject
(-5.24%)
well framed subject
(-54.30%)
well timed shot
(9.80%)
all
(0.83%)
* 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.