Photos | Nighttime Vibes at Coachella 2024: Cars and Crowds

A lively scene captured at the parking lot of Coachella 2024 showcasing a range of vehicles illuminating the night.
Full Description:
This photo, taken on April 21, 2024, encapsulates the energetic atmosphere of Coachella's second weekend. The image features a vibrant display of car headlights and tail lights, with a prominent red sports coupe front and center, highlighting the diversity of vehicles that attendees bring to the festival. The gravel-strewn parking lot is bathed in ambient and artificial light, adding a dynamic glow to the scene. The blurred figures of three people can be seen mingling near the cars, contributing to the overall busy, festive environment typical of such a large-scale music event. This snapshot not only captures the essence of festival transportation but also the lively human interactions that define Coachella nights.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T01:00:00.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.85%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-1.61%)
harmonious color
(0.95%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-47.22%)
intrusive object presence
(-17.26%)
lively color
(-31.96%)
low light
(99.85%)
noise
(-34.35%)
pleasant camera tilt
(-5.80%)
pleasant composition
(-68.12%)
pleasant lighting
(-57.42%)
pleasant pattern
(2.44%)
pleasant perspective
(-4.18%)
pleasant post processing
(2.69%)
pleasant reflection
(6.51%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.22%)
tastefully blurred
(-10.12%)
well chosen subject
(-7.69%)
well framed subject
(-19.47%)
well timed shot
(14.36%)
all
(-7.65%)
* 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.