Photos | Twilight Traffic at Coachella 2024

Buses, cars, and pedestrians create a bustling scene on an urban road, framed by illuminated palm trees, at Coachella, April 2024.
Full Description:
Taken during the second weekend of Coachella 2024, this photograph captures a busy street scene as the sun sets, creating a serene yet active ambiance. Vehicles of different types, including buses, trucks, and cars, share the road, highlighted against the fading light. Visible are groups of people, likely event attendees or staff, contributing to the lively atmosphere typical of such a large event. The street, lined with illuminated trees and marked by safety cones, accentuates the festival's meticulous organization and the vibrant urban environment surrounding it. This image not only documents the multifaceted nature of transportation and pedestrian dynamics at such events but also reflects the eclectic spirit of Coachella.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
6400
metering mode
5
aperture
f/3.2
focal length
70mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T18:28:39.270000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.85%)
harmonious color
(4.29%)
immersiveness
(19.41%)
interaction
(1.00%)
interesting subject
(-42.46%)
intrusive object presence
(-6.40%)
lively color
(-5.19%)
low light
(1.68%)
noise
(-2.08%)
pleasant camera tilt
(-5.12%)
pleasant composition
(-38.45%)
pleasant lighting
(-8.90%)
pleasant pattern
(4.52%)
pleasant perspective
(16.65%)
pleasant post processing
(5.52%)
pleasant reflection
(0.95%)
pleasant symmetry
(2.29%)
sharply focused subject
(0.49%)
tastefully blurred
(-11.06%)
well chosen subject
(2.60%)
well framed subject
(-36.38%)
well timed shot
(-1.84%)
all
(3.67%)
* 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.