Photos | Electrifying Energy at Coachella 2024 - Weekend 2

Captivating the audience with high-octane performance, Coachella 2024 continues to ignite the crowd's passion for live music.
Full Description:
Pictured here is an exhilarating scene from Coachella 2024, taken during the second weekend of the festival on April 20th. The stage is set under massive, intricate lighting rigs and banners in an indoor setting that enhances the acoustics and atmosphere. The band performs energetically, commanding the attention of an enthusiastic audience, many adorned with hats and absorbed in capturing the moment on their mobile phones. Emphasized by beams of light cutting through the misty air, this image encapsulates the vibrant spirit of one of the most anticipated rock concerts in the festival's lineup. It’s a snapshot of cultural expression, music appreciation, and collective enjoyment, making it a quintessential representation of Coachella’s dynamic and diverse appeal.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
6400
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T18:00:27.890000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.08%)
curation
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highlight visibility
(4.35%)
behavioral
(70.36%)
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(-0.54%)
harmonious color
(-3.65%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-50.39%)
intrusive object presence
(-10.72%)
lively color
(-16.67%)
low light
(97.51%)
noise
(-2.22%)
pleasant camera tilt
(-10.72%)
pleasant composition
(-81.84%)
pleasant lighting
(-61.87%)
pleasant pattern
(6.74%)
pleasant perspective
(-0.51%)
pleasant post processing
(-0.23%)
pleasant reflection
(-6.40%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.07%)
tastefully blurred
(-3.88%)
well chosen subject
(4.74%)
well framed subject
(-53.17%)
well timed shot
(2.24%)
all
(-9.06%)
* 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.