Photos | Electric Nights at Coachella 2024

A vibrant crowd under the spell of music and lights, captured at Coachella Festival 2024, Weekend 2.
Full Description:
The image encompasses the quintessential festival spirit on April 19, 2024, during Coachella's second weekend. As night descends, the stage blazes with dynamic lighting that pierces the haze, casting an ethereal glow over the ecstatic crowd. Palm trees silhouette against a dusky sky, enhancing the urban oasis vibe. Approximately 25 festival-goers are visible, diverse in appearance but united in their celebration. The composition strikingly captures the essence of a rock concert; the audience immersed in a moment of music-fueled euphoria. This moment not only highlights the sensory experience of attending a live concert but also vividly portrays the collective joy and the personal connections that music festivals like Coachella foster.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
16000
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2024-04-19T21:22:05.210000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.45%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.27%)
failure
(-1.34%)
harmonious color
(5.61%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(23.73%)
intrusive object presence
(-12.77%)
lively color
(-10.54%)
low light
(99.12%)
noise
(-10.50%)
pleasant camera tilt
(-4.13%)
pleasant composition
(-39.45%)
pleasant lighting
(-34.52%)
pleasant pattern
(4.96%)
pleasant perspective
(17.18%)
pleasant post processing
(6.81%)
pleasant reflection
(-2.96%)
pleasant symmetry
(1.00%)
sharply focused subject
(0.37%)
tastefully blurred
(-6.56%)
well chosen subject
(11.21%)
well framed subject
(-20.45%)
well timed shot
(57.03%)
all
(6.17%)
* 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.