Photos | Neon Nights: Coachella Illuminations

A vibrant display of neon-lit pedal cabs light up the night at Coachella 2024, adding a futuristic vibe to the festival streets.
Full Description:
Captured during the second weekend of Coachella in April 2024, this image highlights the dynamic and colorful ambiance of the festival at night. The photograph showcases a sequence of pedal cabs adorned with glowing neon lights, navigating through the sandy pathways of the event. Each cab bursts with unique lighting that reflects off the path, creating a dazzling visual spectacle. The busy scene, filled with festival-goers and various forms of transport, embodies the lively, pulsating energy typical of Coachella's nightlife. This photograph not only captures the essence of modern festival transportation but also the enchanting urban flair that lights up after sunset, crafting an unforgettable atmosphere of music, movement, and light.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
12800
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
2024-04-21T00:55:17.150000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.25%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-1.86%)
harmonious color
(2.88%)
immersiveness
(1.61%)
interaction
(1.00%)
interesting subject
(-45.31%)
intrusive object presence
(-16.58%)
lively color
(-36.74%)
low light
(99.17%)
noise
(-7.64%)
pleasant camera tilt
(-7.29%)
pleasant composition
(-56.59%)
pleasant lighting
(-59.62%)
pleasant pattern
(2.69%)
pleasant perspective
(8.89%)
pleasant post processing
(-3.36%)
pleasant reflection
(0.57%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.27%)
tastefully blurred
(-15.69%)
well chosen subject
(-5.28%)
well framed subject
(-22.01%)
well timed shot
(3.37%)
all
(-7.33%)
* 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.