Photos | Nighttime Navigations at Coachella 2024

Illuminated streets bustling with activity during the second weekend of Coachella 2024.
Full Description:
This photograph captures a lively scene along a highway on a clear night at the Coachella 2024 event. The image showcases the utility and activity of this road as festival goers navigate the region. Visible are multiple vehicles including cars and possibly utility trucks, lined up along the tarmac, set against the backdrop of towering palm trees and well-placed street lighting that dots the horizon. The presence of people and bicycles indicates the mixed use of this urban space. This image not only depicts the transportation dynamics but also the urban environment surrounding a major music festival, highlighting the interaction between human activities and city infrastructure.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tarmac lighting path machine road surface car wheel grass wheel city urban outdoors asphalt intersection vehicle car license sky plant tree freeway coachella utility lamppost transportation bicycle lane flare sidewalk tire outdoor street road plate spoke highway automobile light metropolis pole truck land alloy
iso
20000
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
2024-04-21T00:52:39.420000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.68%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.78%)
harmonious color
(1.35%)
immersiveness
(41.94%)
interaction
(1.00%)
interesting subject
(-18.73%)
intrusive object presence
(-5.96%)
lively color
(-23.23%)
low light
(68.31%)
noise
(-5.13%)
pleasant camera tilt
(-5.00%)
pleasant composition
(0.07%)
pleasant lighting
(-28.03%)
pleasant pattern
(6.98%)
pleasant perspective
(18.37%)
pleasant post processing
(1.78%)
pleasant reflection
(-4.22%)
pleasant symmetry
(3.42%)
sharply focused subject
(0.49%)
tastefully blurred
(-6.70%)
well chosen subject
(-5.56%)
well framed subject
(-22.17%)
well timed shot
(8.87%)
all
(5.89%)
* 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.