Photos | Evening Exodus at Coachella 2024

A lineup of vibrant cars caught in a gravel traffic jam as festival-goers leave the exciting weekend.
Full Description:
Captured at Coachella 2024 during the second weekend, this vivid nighttime photograph showcases a variety of cars on a gravel road, each illuminated by the lights of other vehicles. Featuring alloy wheels, car wheels, and tires clearly visible, the image portrays the bustling scene of attendees departing. This photo not only emphasizes the transportation aspect with detailed views of a coupe and sedans but also captures the gritty texture of the road under the glaring lights. In the background, hints of three people inside their cars add a human element to the mechanical landscape. Shot on April 21, 2024, this image is part of the Coachella 2024 WK2 album, reflecting the underlying excitement and the inevitable end-of-festival traffic.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
51200
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
2024-04-21T01:08:26.150000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.02%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-0.34%)
harmonious color
(5.64%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-36.47%)
intrusive object presence
(-9.33%)
lively color
(-16.71%)
low light
(92.53%)
noise
(-12.30%)
pleasant camera tilt
(-4.24%)
pleasant composition
(-30.66%)
pleasant lighting
(-11.05%)
pleasant pattern
(2.34%)
pleasant perspective
(1.80%)
pleasant post processing
(6.43%)
pleasant reflection
(-1.15%)
pleasant symmetry
(0.51%)
sharply focused subject
(1.39%)
tastefully blurred
(-7.10%)
well chosen subject
(4.17%)
well framed subject
(13.04%)
well timed shot
(-0.71%)
all
(1.06%)
* 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.