Photos | Electric Nights at Coachella 2024

A vibrant scene under the night sky at Coachella, captured on April 20, 2024, showcases festival-goers immersed in the electrifying ambience of the event. Aaron S is noticeably enjoying the festivities.
Full Description:
This image from Coachella 2024 encapsulates the essence of festival life, portraying an eclectic mix of people engaged in different moments of joy and relaxation under the glowing lights of the night. Aaron S, marked by presence and attention in the environment, stands among a crowd that includes seated and standing individuals, each person adding to the tapestry of the festival's night life. The setting features striking tent structures and palm trees silhouetted against a dark sky lit by festival lights. This photo, part of the Coachella 2024 Week 2 album, vibrantly captures both the communal spirit and the personal experiences that define such a dynamic event.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:22:26.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.94%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.42%)
failure
(-2.44%)
harmonious color
(-3.55%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-20.63%)
intrusive object presence
(-18.07%)
lively color
(-57.71%)
low light
(100.00%)
noise
(-17.65%)
pleasant camera tilt
(-5.71%)
pleasant composition
(-75.20%)
pleasant lighting
(-72.80%)
pleasant pattern
(2.54%)
pleasant perspective
(-6.34%)
pleasant post processing
(-8.94%)
pleasant reflection
(3.33%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.15%)
tastefully blurred
(-38.89%)
well chosen subject
(-25.56%)
well framed subject
(-26.29%)
well timed shot
(6.23%)
all
(-13.83%)
* 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.