Photos | Nighttime at Coachella 2024: Wheels and Wanderlust

Caught in the spotlight, a rugged SUV stands poised on gravel, surrounded by a flurry of festival-goers’ vehicles under the starlit Coachella sky.
Full Description:
This dynamic photograph, taken at Coachella 2024 during the second weekend, encapsulates a moment of adventure and leisure, steeped in the ambience of nighttime festivity. In the frame, the SUV’s confident stance on a textured gravel surface highlights its readiness for both the offroad trails and the tarmac paths. The image features an assortment of vehicles lit by the glow of tail lights and distant street lamps, painting a vivid picture of concert excitement and the timeless thrill of road adventures. The careful capture of alloy wheels and the detailed composition invite viewers to feel the energy of the location and the shared anticipation of festival attendees arriving for a weekend of music and merriment.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
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
2024-04-21T01:00:23.130000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.36%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-0.42%)
harmonious color
(3.43%)
immersiveness
(1.15%)
interaction
(1.00%)
interesting subject
(-9.95%)
intrusive object presence
(-5.15%)
lively color
(-14.17%)
low light
(91.65%)
noise
(-24.58%)
pleasant camera tilt
(0.68%)
pleasant composition
(13.92%)
pleasant lighting
(-8.04%)
pleasant pattern
(2.86%)
pleasant perspective
(20.73%)
pleasant post processing
(5.33%)
pleasant reflection
(3.54%)
pleasant symmetry
(0.59%)
sharply focused subject
(5.05%)
tastefully blurred
(-6.47%)
well chosen subject
(-14.64%)
well framed subject
(50.83%)
well timed shot
(-3.24%)
all
(5.99%)
* 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.