Photos | Sunset Silhouettes and Festival Rides at Coachella 2024

A serene twilight scene captures a golf cart aglow with purple lights against the backdrop of a festival sunset, complete with silhouetted palm trees and the iconic Coachella vibe.
Full Description:
This image, taken on April 19, 2024, at Coachella's second weekend, showcases a tranquil moment as the day transitions into night. The photograph features a golf cart equipped with dynamic purple lights, hinting at the vibrant nighttime activities ahead. Positioned in the camping area near an array of trailers and vehicles, the scene is set against a gorgeous sunset that paints the sky in soft hues. Palm trees line the horizon, creating a distinct silhouette typical of Southern California's landscapes. This image invokes the unique atmosphere of Coachella, blending the practicality of festival transportation with the aesthetic beauty of the event's setting.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
5000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2024-04-19T18:32:25.900000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.13%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.73%)
harmonious color
(3.83%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-28.27%)
intrusive object presence
(-2.64%)
lively color
(-16.69%)
low light
(56.88%)
noise
(-2.73%)
pleasant camera tilt
(-3.29%)
pleasant composition
(-23.58%)
pleasant lighting
(-55.18%)
pleasant pattern
(5.52%)
pleasant perspective
(5.81%)
pleasant post processing
(1.29%)
pleasant reflection
(-0.79%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.54%)
tastefully blurred
(-1.52%)
well chosen subject
(-1.53%)
well framed subject
(11.16%)
well timed shot
(1.97%)
all
(-2.69%)
* 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.