Photos | Moonlit March: A Candid Capture at Coachella 2024

Festivalgoers navigating the gritty terrain of Coachella after sundown.
Full Description:
Captured on the second weekend of Coachella 2024, this image vividly encapsulates the night-time vibrancy and the rugged charm of the festival grounds. A group of nine individuals, predominantly male, are seen here walking along a fence line illuminated by a stark overhead light that casts dramatic shadows on the gravel road. Their diverse footwear ranging from casual shoes to rugged boots, along with a mix of clothing styles from shorts to layered outfits, highlights the eclectic fashion typical of Coachella attendees. The scene, framed by the stark fencing and the dusty path, offers a glimpse into the less glamorous but equally authentic side of festival life, emphasizing both the communal spirit and the challenging environment of such a large-scale outdoor event.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (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
2024-04-21T00:55:34.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.25%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-2.12%)
harmonious color
(1.79%)
immersiveness
(1.93%)
interaction
(1.00%)
interesting subject
(-49.29%)
intrusive object presence
(-9.57%)
lively color
(-6.67%)
low light
(88.18%)
noise
(-11.55%)
pleasant camera tilt
(-7.78%)
pleasant composition
(-42.48%)
pleasant lighting
(-12.70%)
pleasant pattern
(6.96%)
pleasant perspective
(-5.53%)
pleasant post processing
(-2.80%)
pleasant reflection
(1.51%)
pleasant symmetry
(0.59%)
sharply focused subject
(1.42%)
tastefully blurred
(-3.08%)
well chosen subject
(0.01%)
well framed subject
(-29.20%)
well timed shot
(4.12%)
all
(-1.04%)
* 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.