Photos | Electric Nights at Coachella 2024

A vibrant scene captured during the second weekend of Coachella 2024, where concertgoers immerse themselves in a night of dazzling lights and dynamic energy.
Full Description:
Taken on the night of April 20th, 2024, at Coachella's week two festivities, this photograph encapsulates the essence of a music festival held in an urban club setting. Under the glow of multicolored stage lights, the crowd comes alive with activity. Enormous balloons, resembling volleyballs, float above the attendees, adding a playful element to the concert's atmosphere. The visible equipment and electrical devices hint at the technological orchestration behind this spectacular night. In the crowd, festival-goers capture the moment on mobile phones, while others dance and interact, creating a vivid tableau of modern festival culture. A true reflection of night life and communal joy at one of the year's most anticipated music events.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
25600
metering mode
5
aperture
f/3.2
focal length
70mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T15:26:33.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.92%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-1.32%)
harmonious color
(10.78%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-15.17%)
intrusive object presence
(-10.64%)
lively color
(-28.30%)
low light
(99.12%)
noise
(-4.49%)
pleasant camera tilt
(-6.20%)
pleasant composition
(-55.13%)
pleasant lighting
(-27.73%)
pleasant pattern
(8.42%)
pleasant perspective
(6.52%)
pleasant post processing
(-2.18%)
pleasant reflection
(-2.69%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.83%)
tastefully blurred
(2.78%)
well chosen subject
(-12.85%)
well framed subject
(-25.76%)
well timed shot
(16.83%)
all
(-1.24%)
* 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.