Photos | Sunset Silhouettes at Coachella 2024

A captivating sunset backdrop with vibrant palm tree silhouettes during the second weekend of Coachella 2024.
Full Description:
This image, taken on April 19, 2024, at Coachella Week 2, showcases the serene and bustling atmosphere that defines this iconic music festival. Positioned in the expansive outdoor space, the photo captures a beautiful sunset with pink and blue skies silhouetting towering palm trees. Festival attendees can be seen scattered across the grass, some lounging and others moving about, around the distinctive white tents and temporary structures that offer shelter and amenities. The presence of various personal items like handbags and footwear adds a personal touch to the scene, emphasizing the casual and relaxed environment. This visual encapsulates the essence of summer, nature, and the communal joy of festival-goers at Coachella, blending natural beauty with human creativity and spirit.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-04-19T18:20:10.640000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.25%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.56%)
harmonious color
(16.47%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-14.95%)
intrusive object presence
(-3.13%)
lively color
(-0.64%)
low light
(99.51%)
noise
(-0.88%)
pleasant camera tilt
(-6.81%)
pleasant composition
(-33.13%)
pleasant lighting
(-45.19%)
pleasant pattern
(3.20%)
pleasant perspective
(12.77%)
pleasant post processing
(11.80%)
pleasant reflection
(4.82%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.20%)
tastefully blurred
(-5.94%)
well chosen subject
(4.61%)
well framed subject
(-28.30%)
well timed shot
(26.76%)
all
(4.30%)
* 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.