Photos | Nighttime Arrival at Coachella 2024

A serene night scene captures the bustling entry point to Coachella 2024.
Full Description:
This photograph, taken in the early hours of April 21, 2024, vividly showcases a typical arrival scene at the second weekend of Coachella 2024. Set against a backdrop of tall palm trees under a dark night sky, the image focuses on a well-lit entrance with a stop sign and several traffic cones guiding the path. Illumination from various light sources highlights the detailed features of the urban environment including vehicles, a tent, and road signs, providing a glimpse into the organization and anticipation that marks the festival's vibrant atmosphere each year. The subtle presence of five people aboard a golf cart, heading towards the festival grounds, adds a human touch to the frame, emphasizing the event's draw and the connection people share in this unique festival setting.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
4000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:25:45.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-2.73%)
harmonious color
(1.57%)
immersiveness
(65.82%)
interaction
(1.00%)
interesting subject
(-45.39%)
intrusive object presence
(-5.96%)
lively color
(-22.99%)
low light
(95.36%)
noise
(-3.44%)
pleasant camera tilt
(-4.48%)
pleasant composition
(15.91%)
pleasant lighting
(-32.13%)
pleasant pattern
(8.84%)
pleasant perspective
(19.63%)
pleasant post processing
(1.07%)
pleasant reflection
(0.31%)
pleasant symmetry
(7.06%)
sharply focused subject
(0.56%)
tastefully blurred
(1.76%)
well chosen subject
(-5.60%)
well framed subject
(-19.56%)
well timed shot
(-1.40%)
all
(8.26%)
* 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.