Photos | Electrifying Energy: A Live Moment at Coachella 2024

Capturing the essence of rock at Coachella, Week 2 – a vibrant snapshot from April 20, 2024.
Full Description:
This image, taken at Coachella 2024 during the second weekend, encapsulates a spectacular live performance stage set deep within an enthusiastic crowd. The photo vividly portrays the scene of a rock concert: bright stage lighting, three speakers amplifying the sound, and the band energetically engaged in their performance. A mixed-age audience, dotted with visible accessories like hats and mobile phones in use, elevates the frame’s energy. The chemistry between the performers and the crowd underlines the vibrancy of urban festival scenes, highlighting shared moments of musical rapture. Placed under a massive tent structure that provides a colossal backdrop, this image is a perfect depiction of the night life and electric atmosphere that only a festival like Coachella can offer.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
5000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T18:00:29.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.59%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.59%)
harmonious color
(-3.38%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-49.54%)
intrusive object presence
(-14.26%)
lively color
(-18.74%)
low light
(98.10%)
noise
(-1.54%)
pleasant camera tilt
(-8.78%)
pleasant composition
(-84.81%)
pleasant lighting
(-62.94%)
pleasant pattern
(5.96%)
pleasant perspective
(-1.98%)
pleasant post processing
(-2.01%)
pleasant reflection
(-4.87%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.10%)
tastefully blurred
(-3.47%)
well chosen subject
(8.44%)
well framed subject
(-47.71%)
well timed shot
(14.58%)
all
(-8.44%)
* 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.