Photos | Midnight Movement at Coachella 2024

A nocturnal glimpse of festival-goers navigating a sea of cars at Coachella 2024.
Full Description:
Captured on the evening of April 21, 2024, this image portrays a vibrant scene in a parking lot at the Coachella Music Festival, Weekend 2. Under the eerie glow of overhead lights, the photograph showcases an array of vehicles—ranging from compact cars to sports coupes, each bathed in a gentle haze indicative of the late hour. The gravel underfoot and the scattered clusters of people lend a raw, candid atmosphere to the setting. Four indistinct silhouettes are discernible, moving amidst the vehicles, possibly discussing their next move or simply soaking in the festival's lingering excitement. This snapshot not only captures the essence of festival transport logistics but also paints a picture of transient moments often overlooked in the exhilaration of such grand events.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:59:27.030000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.32%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-4.37%)
harmonious color
(1.88%)
immersiveness
(3.22%)
interaction
(1.00%)
interesting subject
(-47.17%)
intrusive object presence
(-6.27%)
lively color
(-18.84%)
low light
(99.61%)
noise
(-49.17%)
pleasant camera tilt
(-3.77%)
pleasant composition
(-36.74%)
pleasant lighting
(-45.02%)
pleasant pattern
(5.47%)
pleasant perspective
(1.01%)
pleasant post processing
(6.65%)
pleasant reflection
(2.64%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.29%)
tastefully blurred
(-9.22%)
well chosen subject
(-3.64%)
well framed subject
(-28.34%)
well timed shot
(1.59%)
all
(-3.38%)
* 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.