Photos | Night-Time Arrival at Coachella 2024

Approaching the vibrant scene of Coachella from the quiet roads, with the festival's lighting guiding the way.
Full Description:
The photograph captures a quintessential moment of arrival at Coachella 2024 during its second weekend, dated April 21, 2024. It’s taken from inside a vehicle, giving the viewer a first-person perspective of the approach along a tarmac road. The scene includes lit up tents and temporary structures, used for various festival purposes, lining the securely fenced entrance. The environment reflects a combination of urban elements with the excitement of an outdoor music festival. Two people can be observed near the road, adding a human element to the nocturnal urban landscape. This shot not only highlights the road and infrastructure leading into Coachella but also subtly sets the tone for the anticipation and excitement commonly felt upon arriving at such a significant cultural event.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
4000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:24:41.870000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-4.08%)
harmonious color
(-2.02%)
immersiveness
(5.96%)
interaction
(1.00%)
interesting subject
(-66.65%)
intrusive object presence
(-60.60%)
lively color
(-15.15%)
low light
(85.79%)
noise
(-6.69%)
pleasant camera tilt
(-7.84%)
pleasant composition
(-76.22%)
pleasant lighting
(-53.76%)
pleasant pattern
(4.83%)
pleasant perspective
(-3.57%)
pleasant post processing
(3.71%)
pleasant reflection
(2.86%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.27%)
tastefully blurred
(-8.25%)
well chosen subject
(-4.60%)
well framed subject
(-44.58%)
well timed shot
(-3.25%)
all
(-7.95%)
* 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.