Photos | Midnight Ride at Coachella 2024

A glimpse into the nocturnal life of Coachella, featuring a lone golf cart journey past the vibrant backdrop of festival lights and lush greenery.
Full Description:
Captured on the eve of April 21, 2024, this photo from the Coachella 2024 WK2 album encapsulates a serene yet active moment at the renowned music festival. The image shows a person, likely a male based on visual estimation, maneuvering a golf cart along a tarmac path. Flanked by safety cones and under a night sky, the scene reflects the mix of transport and tranquil downtime against an urban festival setting. The road and nearby foliage are dimly lit, highlighting the contrasting environments of dynamic festival life and quiet moments of transit. This image not only portrays the utilitarian aspects of vehicle use at large events but also frames a unique perspective of Coachella’s multifaceted environment.
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
2024-04-21T00:54:01.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.13%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.61%)
failure
(-4.61%)
harmonious color
(-0.95%)
immersiveness
(3.13%)
interaction
(1.00%)
interesting subject
(-65.72%)
intrusive object presence
(-11.08%)
lively color
(-16.59%)
low light
(86.18%)
noise
(-34.79%)
pleasant camera tilt
(-10.08%)
pleasant composition
(-59.38%)
pleasant lighting
(-48.07%)
pleasant pattern
(3.39%)
pleasant perspective
(-7.09%)
pleasant post processing
(7.87%)
pleasant reflection
(-3.67%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.24%)
tastefully blurred
(-32.86%)
well chosen subject
(0.31%)
well framed subject
(-27.71%)
well timed shot
(0.27%)
all
(-6.53%)
* 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.