Photos | No Pedestrian Traffic: Night Scene at Coachella 2024

A stark nighttime encounter during Coachella 2024, showcasing a no pedestrian traffic sign amidst the activity along the side road.
Full Description:
This photograph was taken on the evening of April 20, 2024, at Coachella's second weekend. It captures a well-lit road scene emphasizing safety and control amidst the festival's lively atmosphere. The image shows a traffic sign NO PEDESTRIAN TRAFFIC prominently displayed in the foreground, with a large truck approaching, bathed in the glow of street lights that illuminate the scene. The palm trees in the background are faintly highlighted against the night sky, adding a distinct California feel to the setting. On the sides, faint outlines of fences and vehicles hint at a tightly managed festival venue. This photo not only describes a moment of logistical organization but also subtly underscores the festival's atmosphere of controlled excitement.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
12800
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
27mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T23:11:34.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.87%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.55%)
failure
(-1.20%)
harmonious color
(4.77%)
immersiveness
(6.13%)
interaction
(1.00%)
interesting subject
(-41.65%)
intrusive object presence
(-26.12%)
lively color
(-0.68%)
low light
(89.36%)
noise
(-5.57%)
pleasant camera tilt
(-3.82%)
pleasant composition
(-35.52%)
pleasant lighting
(-12.02%)
pleasant pattern
(7.06%)
pleasant perspective
(3.92%)
pleasant post processing
(2.06%)
pleasant reflection
(-0.98%)
pleasant symmetry
(1.32%)
sharply focused subject
(1.07%)
tastefully blurred
(-5.34%)
well chosen subject
(-10.32%)
well framed subject
(-15.60%)
well timed shot
(5.66%)
all
(1.67%)
* 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.