Photos | Electric Nights at Coachella 2024

Vivid lights and ecstatic crowds encapsulate the vibrant nightlife at Coachella 2024, Week 2.
Full Description:
This dynamic photograph, taken at Coachella on April 20, 2024, perfectly captures the essence of a lively music festival night. The image shows a dense crowd of concert-goers, bathed in dramatic purple and orange lighting, enhancing the pulsating atmosphere of the event. Floating balloons add a whimsical touch to the scene, while the intricate details of the stage and lights setup are evident against the dark night sky. This photo is part of the 'Coachella 2024 WK2' album in the '2024' collection and starkly illustrates themes like urban nightlife, concert environment, and crowd dynamics. Essential elements such as the distinctive stage lighting and the active audience highlight the energy and excitement typical of such a renowned musical event, making it a memorable night for attendees.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/2.8
focal length
63mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T15:29:54.220000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.64%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-3.96%)
harmonious color
(-0.94%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-34.86%)
intrusive object presence
(-21.22%)
lively color
(-47.12%)
low light
(99.71%)
noise
(-43.95%)
pleasant camera tilt
(-6.72%)
pleasant composition
(-78.52%)
pleasant lighting
(-61.08%)
pleasant pattern
(5.20%)
pleasant perspective
(-8.76%)
pleasant post processing
(-3.26%)
pleasant reflection
(-4.44%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.20%)
tastefully blurred
(-27.78%)
well chosen subject
(3.78%)
well framed subject
(-39.01%)
well timed shot
(17.86%)
all
(-10.08%)
* 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.