Photos | Nighttime Glow: Cars at Coachella 2024

A sleek sports car, featuring shining alloy wheels, stands out among an array of vehicles on a gravel lot under the Coachella night sky.
Full Description:
Taken on April 21, 2024, at the second weekend of Coachella 2024, this image captures a poignant scene of parked vehicles including a prominent sports coupe on a rough gravel surface, gleaming under the ambient lighting amidst a busy background. Various cars are highlighted by their headlights and the nighttime ambient glow, creating a tapestry of light and activity. Featuring high-performance machines like sports cars and practical coupes, this bustling parking area at Coachella reflects the diversity and energy of the event attendees. The image subtly captures the essence of festival transportation logistics, alongside the nocturnal beauty and the unexpected charm of a simple parking area transformed by the festival atmosphere.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
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
2024-04-21T01:09:07.200000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-0.88%)
harmonious color
(2.93%)
immersiveness
(0.95%)
interaction
(1.00%)
interesting subject
(-37.99%)
intrusive object presence
(-8.67%)
lively color
(-22.53%)
low light
(97.71%)
noise
(-28.76%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-35.23%)
pleasant lighting
(-15.10%)
pleasant pattern
(3.81%)
pleasant perspective
(6.01%)
pleasant post processing
(5.69%)
pleasant reflection
(1.76%)
pleasant symmetry
(0.49%)
sharply focused subject
(1.07%)
tastefully blurred
(-7.86%)
well chosen subject
(2.95%)
well framed subject
(2.96%)
well timed shot
(12.96%)
all
(1.03%)
* 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.