Photos | Night Shift: Urban Pulse at Coachella 2024

A nocturnal urban scene captures the dynamics of city life fused with festival vibrance on a tarmac road lined by fences during Coachella 2024.
Full Description:
This image, taken on April 21, 2024, during the second weekend of Coachella, illustrates an urban setting at night where the energy of the city mingles with the rhythm of the festival. Lit by artificial lights and flares, the scene showcases vehicles—in this case, three cars—and about a dozen festival-goers moving along a rugged tarmac path. The environment embodies a typical urban street scene with elements of festive chaos, subtly emphasizing movement and the temporary intersections of paths. Marked by fences and sporadic flares, the road not only serves as a conduit for transportation but also for anecdotal interactions among attendees under the watchful eye of the city at festival time.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:21:25.490000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-6.32%)
harmonious color
(-0.49%)
immersiveness
(18.38%)
interaction
(1.00%)
interesting subject
(-67.29%)
intrusive object presence
(-7.23%)
lively color
(-13.56%)
low light
(99.56%)
noise
(-17.77%)
pleasant camera tilt
(-8.77%)
pleasant composition
(-40.55%)
pleasant lighting
(-53.03%)
pleasant pattern
(7.62%)
pleasant perspective
(-1.37%)
pleasant post processing
(0.34%)
pleasant reflection
(1.02%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.24%)
tastefully blurred
(-22.36%)
well chosen subject
(-4.73%)
well framed subject
(-36.38%)
well timed shot
(-4.15%)
all
(-3.99%)
* 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.