Photos | Midnight Journey: En Route to Coachella 2024

Navigating the nocturnal paths, a solitary vehicle casts a vibrant glow on the rugged terrain near Coachella.
Full Description:
Captured on the night of April 21, 2024, this photograph showcases a solitary car traveling along a dimly lit dirt road flanked by chain-link fences, a common yet often unseen route taken by festival-goers headed to Coachella. The image, part of the Coachella 2024 WK2 album, emphasizes the blend of urban elements with the secluded, less-traveled paths. The vivid lighting from the vehicle highlights the texture of the road and the mundane yet essential elements of transportation infrastructure around city outskirts. This shot not only documents a moment of transit but also paints a picture of the unexpected beauty found in nocturnal urban travel, capturing the essence of adventure and anticipation that often accompanies the journey to a major event like Coachella.
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
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:21:09.650000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.59%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-4.52%)
harmonious color
(1.18%)
immersiveness
(18.55%)
interaction
(1.00%)
interesting subject
(-60.16%)
intrusive object presence
(-12.28%)
lively color
(-18.66%)
low light
(99.51%)
noise
(-29.13%)
pleasant camera tilt
(-8.91%)
pleasant composition
(-23.47%)
pleasant lighting
(-45.07%)
pleasant pattern
(11.35%)
pleasant perspective
(4.44%)
pleasant post processing
(2.37%)
pleasant reflection
(1.61%)
pleasant symmetry
(1.76%)
sharply focused subject
(0.49%)
tastefully blurred
(-11.51%)
well chosen subject
(8.15%)
well framed subject
(-12.92%)
well timed shot
(-2.14%)
all
(-0.85%)
* 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.