Photos | Night at Coachella: The Unseen Corners

An atmospheric capture from Coachella 2024, highlighting a quiet road lined with palm trees on a mysterious, moonlit night.
Full Description:
Taken on April 19, 2024, this photograph presents a less seen side of the bustling Coachella festival, during its second weekend. The image showcases a road, bathed under the night sky, surrounded by looming palm trees casting stark shadows. Three people are faintly visible, engaged in their own worlds, adding a human touch to the nocturnal landscape. The road is illuminated by ambient light, which also catches a pair of bicycles, hinting at the eco-friendly transportation choices of festival-goers. The urban infrastructure faintly glows in the background, juxtaposed with nature’s towering trees, creating a scene of serene solitude amidst the festival's chaos. The image is a celebration of the still moments that occur in the fringes of a dynamic event space.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T19:30:21.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.08%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-1.98%)
harmonious color
(2.33%)
immersiveness
(2.34%)
interaction
(1.00%)
interesting subject
(-62.21%)
intrusive object presence
(-8.76%)
lively color
(-32.96%)
low light
(99.02%)
noise
(-40.53%)
pleasant camera tilt
(-10.06%)
pleasant composition
(-66.50%)
pleasant lighting
(-52.78%)
pleasant pattern
(3.03%)
pleasant perspective
(-1.60%)
pleasant post processing
(6.61%)
pleasant reflection
(0.12%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.22%)
tastefully blurred
(-13.29%)
well chosen subject
(8.35%)
well framed subject
(-29.64%)
well timed shot
(1.59%)
all
(-7.16%)
* 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.