Photos | Enthralling Night at Coachella 2024

A captivating moment under the vibrant night skies of Coachella, capturing the essence of music and togetherness.
Full Description:
Taken on the evening of April 20th, 2024, this photograph from the second weekend of Coachella 2024 showcases a spirited crowd immersed in the festival atmosphere. The image vividly portrays a diverse group of festival-goers, from those lounging on the ground to others standing and enjoying the performances. The ambient lighting bathes the scene in a surreal, purplish hue, enhancing the magical feel of the night. The dim yet colorful lights in the background hint at the dynamic stage setups synonymous with Coachella, reflecting the vibrant energy and the eclectic mix of music reverberating through the air. This photo not only captures the physical setting but also the emotional resonance of sharing music and cultural expressions under a starlit desert sky.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:22:06.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.27%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-4.03%)
harmonious color
(-3.08%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-30.30%)
intrusive object presence
(-8.30%)
lively color
(-43.77%)
low light
(99.80%)
noise
(-22.95%)
pleasant camera tilt
(-2.15%)
pleasant composition
(-57.18%)
pleasant lighting
(-68.60%)
pleasant pattern
(6.01%)
pleasant perspective
(-3.57%)
pleasant post processing
(-6.53%)
pleasant reflection
(5.81%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.32%)
tastefully blurred
(-22.84%)
well chosen subject
(-10.52%)
well framed subject
(-34.13%)
well timed shot
(0.99%)
all
(-10.40%)
* 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.