Photos | Midnight Hues: A Vibrant Pathway

Captured during Coachella 2024, this surreal night scene brings alive an ordinary pathway with a burst of captivating purple light and mesmerizing overhead string lights in various colors.
Full Description:
As part of the 2024 Coachella album, this photograph taken on April 19th showcases an alluring urban garden path, enveloped in rich purple lighting that paints a vibrant picture against the serene night. The scene is both enchanting and mysterious, surrounded by lush palm trees and illuminated by an array of colorful lights strewn across the way, inviting festival-goers to an almost magical journey. The stark contrast between the vivid colors and the dark night sky emphasizes the lively yet tranquil ambiance of the festival grounds. Shadows cast across the flagstone contribute to the depth and texture of the scene, making it a splendid example of urban outdoor ambiance at night.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/3.2
exposure bias
-1.33
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T23:35:29.330000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.93%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.29%)
failure
(-2.47%)
harmonious color
(2.20%)
immersiveness
(15.14%)
interaction
(1.00%)
interesting subject
(-32.57%)
intrusive object presence
(-4.05%)
lively color
(-34.89%)
low light
(98.73%)
noise
(-16.80%)
pleasant camera tilt
(-5.01%)
pleasant composition
(-13.96%)
pleasant lighting
(-52.93%)
pleasant pattern
(8.59%)
pleasant perspective
(10.77%)
pleasant post processing
(-25.54%)
pleasant reflection
(1.94%)
pleasant symmetry
(4.49%)
sharply focused subject
(0.24%)
tastefully blurred
(-7.19%)
well chosen subject
(-8.14%)
well framed subject
(-6.92%)
well timed shot
(5.82%)
all
(-3.97%)
* 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.