Photos | Moonlit Palms at Dusk - Coachella 2024

Captured amid the vibrant energy of Coachella, this image bathes in the tranquility of a dusky sky, where palm trees sway under the watchful eye of a rising moon.
Full Description:
This photograph, taken at Coachella 2024 during the second weekend (April 19th), encapsulates a serene yet lively moment typical of the festival. The image features a cluster of palm trees silhouetted against a twilight sky, lightly brushed with clouds and dominated by a bright early moon. The evening atmosphere is palpably tropical, an allure augmented by the warm weather and the close-up palms that evoke an essence of summer nights. As the night progresses, the scene marries the natural beauty of the desert surroundings with the exhilarating spirit of one of the world’s most famous music festivals. This photo elegantly captures the contrasting peace of nature against the backdrop of a bustling feast of music and culture.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
2000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T18:29:40.540000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.83%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.23%)
failure
(-0.32%)
harmonious color
(10.25%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-46.83%)
intrusive object presence
(-24.17%)
lively color
(-8.94%)
low light
(29.47%)
noise
(-0.42%)
pleasant camera tilt
(-9.67%)
pleasant composition
(-38.48%)
pleasant lighting
(-14.00%)
pleasant pattern
(1.93%)
pleasant perspective
(24.01%)
pleasant post processing
(2.12%)
pleasant reflection
(-1.94%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.81%)
tastefully blurred
(-0.08%)
well chosen subject
(-0.58%)
well framed subject
(-21.04%)
well timed shot
(-0.04%)
all
(2.55%)
* 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.