Photos | Nocturnal Traverse: A Night at Coachella 2024

Crowds navigate the gravel paths by the railway under a moonlit sky, captured during the second weekend of Coachella 2024.
Full Description:
This dramatic night scene from Coachella 2024 captures festival-goers walking near a railway setting, an unusual yet intriguing shot highlighting movement and ambient light. Taken on April 21, 2024, the image utilizes the stark contrast between the bright artificial lights and the surrounding darkness to frame an evocative narrative of adventure and exploration. The various elements like the rugged terrain, rail tracks, and industrial ambiance add a raw, gritty texture to the festival's otherwise vibrant atmosphere. Using a high ISO setting, the photographer skillfully handles the challenging low light conditions to deliver a photo that encapsulates the essence of nocturnal activities and impromptu paths taken by attendees in between musical sets.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
64000
metering mode
5
aperture
f/3.2
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:55:59.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-2.39%)
harmonious color
(-1.40%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(-62.55%)
intrusive object presence
(-5.64%)
lively color
(-30.52%)
low light
(99.12%)
noise
(-34.86%)
pleasant camera tilt
(-7.25%)
pleasant composition
(-62.16%)
pleasant lighting
(-69.04%)
pleasant pattern
(4.47%)
pleasant perspective
(-4.14%)
pleasant post processing
(-1.96%)
pleasant reflection
(0.93%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.62%)
well chosen subject
(-13.44%)
well framed subject
(-35.79%)
well timed shot
(5.37%)
all
(-10.55%)
* 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.