Photos | Vibrant Nights: Capturing the Essence of Coachella 2024

A glimpse into the exuberant crowd at Coachella's second weekend, where the night comes alive with music, smiles, and iridescent lights.
Full Description:
This striking photograph, taken at the Coachella Music Festival 2024 during its second weekend on April 20th, showcases a lively and colorful crowd immersed in the festival vibes. The scene is set in what looks like an outdoor night club ambiance, bathed in vibrant blue lighting. The camera focuses on several attendees, including a man in a white textured shirt and a woman in a yellow tank top, both enjoying the festivities. Their expressions and the overall mood capture the essence of unadulterated joy typically found at such dynamic gatherings. The details in their attire and the surrounding crowd reflect the festival's eclectic and spirited nature, entrenched in both music and a collective celebration of the moment.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
20000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:14:47.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-1.32%)
harmonious color
(3.47%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-19.68%)
intrusive object presence
(-2.76%)
lively color
(-36.82%)
low light
(87.40%)
noise
(-1.56%)
pleasant camera tilt
(0.29%)
pleasant composition
(-50.78%)
pleasant lighting
(-25.63%)
pleasant pattern
(3.05%)
pleasant perspective
(5.40%)
pleasant post processing
(-16.30%)
pleasant reflection
(-2.55%)
pleasant symmetry
(0.63%)
sharply focused subject
(4.25%)
tastefully blurred
(19.65%)
well chosen subject
(-9.00%)
well framed subject
(-7.21%)
well timed shot
(18.80%)
all
(-3.04%)
* 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.