Photos | Electric Nights at Coachella 2024

The spirit of Coachella captured during a vibrant rock performance on the second weekend, April 19, 2024.
Full Description:
Immersed in the electric atmosphere of Coachella 2024, this image from the festival's second weekend vividly captures the energy and passion of a live rock concert. The crowd, a diverse assembly of festival-goers, is mesmerized by the scintillating light show and dynamic stage presence of the performers. Visible in this packed scene are 18 enthusiastic attendees, including four adults, primarily males, who stand out with distinct accessories like hats and glasses, highlighting the unique festival fashion. The urban backdrop is barely visible through the haze of concert lights that illuminate the night, creating a surreal, almost otherworldly vista. This photograph not only encapsulates the essence of rock concerts but also the broader communal experience and vibrant nightlife that define Coachella.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
1600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:33:23.520000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.59%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.27%)
failure
(-2.78%)
harmonious color
(8.29%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-8.45%)
intrusive object presence
(-23.29%)
lively color
(-11.20%)
low light
(99.95%)
noise
(-6.30%)
pleasant camera tilt
(-4.37%)
pleasant composition
(-48.71%)
pleasant lighting
(-21.28%)
pleasant pattern
(5.49%)
pleasant perspective
(2.03%)
pleasant post processing
(12.27%)
pleasant reflection
(2.43%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.71%)
tastefully blurred
(-0.09%)
well chosen subject
(-2.85%)
well framed subject
(-39.16%)
well timed shot
(37.43%)
all
(3.98%)
* 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.