Photos | Illuminated Gridlock: A Night at Coachella 2024

Coachella's car-studded spectacle - a lineup of radiant vehicles caught in a nighttime parking lot dance during Coachella 2024 WK2.
Full Description:
Captured on the bustling evening of April 21, 2024, this photograph presents a riveting scene from the Coachella music festival's second weekend parking area. Rows of diverse vehicles, from sports cars to sedans, are bathed in the red hue of brake lights, painting a vivid picture of late-night festival exodus. The assortment of cars, featuring stylish alloy wheels and sleek designs, reflects a spectrum from functionality to luxury, all unified by the anticipation of what lies ahead or the memories of the day just passed. This image not only showcases the range of transportation but also encapsulates the electrified atmosphere of a major cultural event, highlighting a moment of stillness amidst the weekend's dynamic festivities.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
20000
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
2024-04-21T01:00:14.060000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(55.42%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.88%)
harmonious color
(7.80%)
immersiveness
(4.79%)
interaction
(1.00%)
interesting subject
(0.13%)
intrusive object presence
(-5.10%)
lively color
(-11.10%)
low light
(97.90%)
noise
(-7.81%)
pleasant camera tilt
(-1.66%)
pleasant composition
(-6.98%)
pleasant lighting
(4.11%)
pleasant pattern
(3.25%)
pleasant perspective
(9.36%)
pleasant post processing
(4.13%)
pleasant reflection
(7.39%)
pleasant symmetry
(0.51%)
sharply focused subject
(1.49%)
tastefully blurred
(-7.98%)
well chosen subject
(3.59%)
well framed subject
(-15.17%)
well timed shot
(26.76%)
all
(9.26%)
* 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.