Photos | Electric Nights at Coachella 2024

Revelers bask in the vibrant glow of a concert flash, celebrating togetherness and music under the Coachella sky.
Full Description:
Captured during the second weekend of Coachella 2024, this photograph embodies the spirit of the festival with a focus on fun, fashion, and community. In the scene, three people are prominently featured, each wearing baseball caps and exhibiting joyous expressions. The nighttime setting, punctuated by a dynamic burst of light and subtle balloon details, reflects the energized atmosphere typical of such a grand event. The image communicates more than just a noisy crowd; it shows connection, exhilaration, and the shared experience of music enthusiasts draped in their stylish night-out ensembles, complemented by gleaming jewelry. This shot from April 20th adds a vivid chapter to the visual story of Coachella, showcasing the festival as a space where moments are not just captured but felt.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
64000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:24:39.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.93%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-7.59%)
harmonious color
(-3.56%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-5.28%)
intrusive object presence
(-8.01%)
lively color
(-45.83%)
low light
(99.90%)
noise
(-44.41%)
pleasant camera tilt
(-4.90%)
pleasant composition
(-47.92%)
pleasant lighting
(-59.23%)
pleasant pattern
(2.66%)
pleasant perspective
(-4.98%)
pleasant post processing
(-6.26%)
pleasant reflection
(-3.32%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.51%)
tastefully blurred
(-43.43%)
well chosen subject
(-5.16%)
well framed subject
(-8.99%)
well timed shot
(30.40%)
all
(-6.70%)
* 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.