Photos | Midnight Illuminations at Coachella

A captivating after-hours scene captured at Coachella 2024, highlighting the blend of urban structures and festival's night lights.
Full Description:
This photograph, taken on April 21st, 2024, encapsulates a night-time view of Coachella's urban set-up amidst the festivities. The focus of this image settles on a brightly lit road maintenance area, characterized by powerful overhead streetlights and road barriers that demarcate and secure the area. The backdrop reveals glimpses of lush palm trees and distant festival lights, weaving together an atmospheric contrast between the festival's energetic essence and the necessary stillness of its maintenance zones. The slightly blurred foreground suggests movement and the transient nature of the festival setup, while the overall composition reflects the merging of practical urban elements with the temporary natural setting, under the quiet observance of a night sky.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
3200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:23:21.340000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(17.85%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-5.96%)
harmonious color
(0.03%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-71.29%)
intrusive object presence
(-13.89%)
lively color
(-28.37%)
low light
(97.51%)
noise
(-19.58%)
pleasant camera tilt
(-12.70%)
pleasant composition
(-76.86%)
pleasant lighting
(-63.48%)
pleasant pattern
(2.39%)
pleasant perspective
(-4.16%)
pleasant post processing
(3.85%)
pleasant reflection
(-7.93%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.15%)
tastefully blurred
(-51.71%)
well chosen subject
(3.59%)
well framed subject
(-37.43%)
well timed shot
(-3.13%)
all
(-11.44%)
* 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.