Photos | Illuminated Aggregation at Coachella 2024

A nocturnal view of diverse vehicles gathered in a bustling parking area during the second weekend of Coachella 2024.
Full Description:
Captured on the night of April 21, 2024, this photograph showcases a nighttime scene filled with cars in the parking lot reserved for attendees of Coachella's second weekend. The lights from the numerous vehicles illuminate the area, emphasizing the mix of transportation types present, from sporty coupes to robust pickup trucks. The predominance of alloy wheels, tires, and car wheels highlight the gathering's focus on modern transportation modes. In a subtle blend with the human element, a few individuals are visible among the vehicles, possibly navigating the gravel-strewn lot. This scene not only portrays the practical aspect of event logistics but also adds a touch of the festival's lively, dynamic 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
2024-04-21T01:01:15.410000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.28%)
failure
(-1.42%)
harmonious color
(3.25%)
immersiveness
(2.98%)
interaction
(1.00%)
interesting subject
(-35.52%)
intrusive object presence
(-7.71%)
lively color
(-22.01%)
low light
(93.07%)
noise
(-28.42%)
pleasant camera tilt
(-7.43%)
pleasant composition
(-10.34%)
pleasant lighting
(-22.27%)
pleasant pattern
(5.32%)
pleasant perspective
(-2.62%)
pleasant post processing
(10.04%)
pleasant reflection
(1.44%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.42%)
tastefully blurred
(-0.28%)
well chosen subject
(-3.45%)
well framed subject
(-18.38%)
well timed shot
(1.35%)
all
(0.83%)
* 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.