Photos | Nighttime Wanderers at Coachella 2024

Captured at the heart of Coachella 2024, two festival attendees pause for a moment on a gravel-strewn path beside a striking solar panel installation.
Full Description:
Set against the backdrop of the eclectic and vibrant Coachella Valley Music and Arts Festival, this image taken on April 21, 2024, showcases a pair of music lovers at an offbeat location within the festival grounds. The photograph captures the stark contrast of casual festival wear, consisting of shorts, and rugged boots, against a functional and partly industrial setting, characterized by gravel, a chain-link fence, and solar panel equipment. This moment reflects the blend of laid-back festival vibes with the hard, utilitarian aspects of the festival infrastructure. The nighttime setting adds a layer of mystery and solitude away from the bustling crowd, highlighting the vastness and diversity of the Coachella experience.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
16000
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
2024-04-21T01:18:53.210000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.99%)
curation
(60.00%)
highlight visibility
(5.12%)
behavioral
(70.52%)
failure
(-0.29%)
harmonious color
(1.36%)
immersiveness
(0.56%)
interaction
(2.00%)
interesting subject
(-6.46%)
intrusive object presence
(-8.25%)
lively color
(-2.88%)
low light
(78.91%)
noise
(-10.11%)
pleasant camera tilt
(-3.82%)
pleasant composition
(-31.20%)
pleasant lighting
(-2.60%)
pleasant pattern
(6.10%)
pleasant perspective
(5.27%)
pleasant post processing
(-1.09%)
pleasant reflection
(2.73%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.95%)
tastefully blurred
(-14.05%)
well chosen subject
(-18.70%)
well framed subject
(19.10%)
well timed shot
(0.14%)
all
(1.39%)
* 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.