Photos | Twilight Communion at Coachella 2024

A night scene captures festival-goers navigating the vast parking area under a haze of distant festival lights.
Full Description:
This photograph, taken on April 21, 2024, during the second weekend of Coachella 2024, encapsulates the sprawling expansiveness of the festival's parking layout at twilight. The image features seven individuals and numerous vehicles scattered across the tarmac, offering a glimpse into the often-overlooked logistical aspect of attending large-scale music events. The pervasive airport-like setup of the area underscores the scale of Coachella, while the twinkling lights and silhouettes of distant palms add a touch of the surreal to the festival's atmosphere. This scene not only highlights the anticipation and preparation involved in such an event but also serves as a metaphor for the journey festival-goers embark upon — both literally and metaphorically — as part of their Coachella experience.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
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
2024-04-21T00:58:29.460000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.03%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-1.64%)
harmonious color
(-0.05%)
immersiveness
(4.42%)
interaction
(1.00%)
interesting subject
(-46.75%)
intrusive object presence
(-8.15%)
lively color
(-15.19%)
low light
(73.58%)
noise
(-53.56%)
pleasant camera tilt
(-9.27%)
pleasant composition
(-19.26%)
pleasant lighting
(-24.17%)
pleasant pattern
(4.81%)
pleasant perspective
(3.00%)
pleasant post processing
(6.06%)
pleasant reflection
(1.59%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.20%)
tastefully blurred
(-10.64%)
well chosen subject
(-4.74%)
well framed subject
(-21.34%)
well timed shot
(-8.23%)
all
(-0.86%)
* 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.