Photos | Midnight March at Coachella 2024

Festival-goers navigating the tarmac in the quiet hours at Coachella, capturing the essence of a night filled with activity.
Full Description:
On the evening of April 21, 2024, against a backdrop darkened by the night sky, this image captures a group of festival attendees at Coachella Week 2 as they walk along a tarmac road. The photograph showcases about 19 people in varied attire, indicating the eclectic mix often found at such large-scale events. Despite the low lighting, highlights such as vibrant footwear and casual festival clothing shine through, illuminating bits of their journey through the faint ambient light. The setting around them blends the constructed elements of the festival with the natural landscape, while distant lights and a hint of activity suggest the ongoing festivities. This image is a potent reminder of the convergence of human enthusiasm and nocturnal peace, typifying the unique atmosphere of a night at Coachella.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:55:51.330000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.65%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-4.22%)
harmonious color
(-3.07%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(-45.58%)
intrusive object presence
(-8.79%)
lively color
(-25.22%)
low light
(99.51%)
noise
(-29.10%)
pleasant camera tilt
(-7.37%)
pleasant composition
(-34.99%)
pleasant lighting
(-59.52%)
pleasant pattern
(7.03%)
pleasant perspective
(-4.61%)
pleasant post processing
(-2.05%)
pleasant reflection
(1.72%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.27%)
tastefully blurred
(-7.68%)
well chosen subject
(7.75%)
well framed subject
(-13.67%)
well timed shot
(3.10%)
all
(-6.85%)
* 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.