Photos | Electric Nights at Coachella 2024

A vivid snapshot of vibrant urban festival life under the ethereal glow of artistic light installations.
Full Description:
Captured at the peak of evening festivities on April 19, 2024, during the second weekend of Coachella, this photograph showcases a dynamic scene set against a backdrop of kaleidoscopic light installations and geometrically engaging stage structures. The image vividly illustrates a crowd of 27 festival-goers immersed in the electrifying atmosphere, donned in a mix of colorful clothing and distinctive footwear. Purple hues dominate, blending seamlessly with the playful elements of the urban setting such as fluttering flags, drifting confetti, and decoratively suspended shapes that contribute to the sensory feast. This moment encapsulates the essence of Coachella as not just a musical event but a celebratory union of art, culture, and community under the starlit desert sky.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
5000
metering mode
5
aperture
f/3.2
exposure bias
3
focal length
24mm
shutter speed
1/5s
camera make
Canon
camera model
lens model
date
2024-04-19T19:41:24.420000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(62.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.25%)
failure
(-0.12%)
harmonious color
(12.09%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(35.13%)
intrusive object presence
(-10.13%)
lively color
(-13.77%)
low light
(53.47%)
noise
(-1.05%)
pleasant camera tilt
(-7.59%)
pleasant composition
(-12.40%)
pleasant lighting
(-2.47%)
pleasant pattern
(7.96%)
pleasant perspective
(38.60%)
pleasant post processing
(0.70%)
pleasant reflection
(-2.85%)
pleasant symmetry
(7.76%)
sharply focused subject
(1.32%)
tastefully blurred
(2.29%)
well chosen subject
(-2.95%)
well framed subject
(34.38%)
well timed shot
(13.53%)
all
(9.20%)
* 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.