Photos | Midnight Trek at Coachella 2024

Festival-goers navigating a hazy, dimly lit path beside a myriad of parked vehicles under a night sky at Coachella 2024, Weekend 2.
Full Description:
This atmospheric photograph captures a scene from Coachella 2024 during the second weekend, dated April 21st. The image taken at 00:56 shows attendees walking along a gravel path adjacent to a railway line, bathed in the ambient light from nearby cars and festival lighting. The haze, possibly from festival smoke machines or dust stirred by the crowd, adds a mysterious quality to the night. People of various attire, contributing to the eclectic mix typical of Coachella's vibrant crowd, can be seen navigating their way through the area. The placement and movement of the attendees together with the vehicles parked sporadically create a dynamic yet slightly chaotic scene of festival nightlife, embodying the spirit and energy of one of the most famous music festivals.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:56:03.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.97%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-3.64%)
harmonious color
(-1.38%)
immersiveness
(1.59%)
interaction
(1.00%)
interesting subject
(-47.78%)
intrusive object presence
(-13.18%)
lively color
(-25.10%)
low light
(97.95%)
noise
(-37.26%)
pleasant camera tilt
(-6.99%)
pleasant composition
(-59.52%)
pleasant lighting
(-66.31%)
pleasant pattern
(3.64%)
pleasant perspective
(-4.28%)
pleasant post processing
(3.25%)
pleasant reflection
(2.29%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.10%)
tastefully blurred
(-12.55%)
well chosen subject
(4.39%)
well framed subject
(-43.87%)
well timed shot
(0.58%)
all
(-9.14%)
* 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.