Photos | Midnight Riders: Cycling Under Coachella Palms

Two cyclists navigate the night, illuminated by flashes of bike lights amidst the backdrop of silhouetted palm trees, capturing the essence of adventure and freedom at Coachella 2024.
Full Description:
This photograph, taken during the second weekend of Coachella 2024 on April 21, showcases a pair of cyclists riding along a tarmac path surrounded by lush vegetation and iconic palm trees under the cover of night. Equipped with safety helmets and sporty attire that reflects their spontaneous energy, these riders exemplify the vibrant intersection of leisure and sport. The image, punctuated by the natural and artificial lighting that casts an ethereal glow over the scene, encapsulates a moment of pure joy and freedom, emphasizing the diverse experiences available at the festival beyond the musical performances. This photo belongs to the 'Coachella 2024 WK2' album and incorporates tags such as cycling, sport, and outdoor adventure, highlighting the dynamic and ever-engaging environment of Coachella.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (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
2024-04-21T00:53:45.450000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.42%)
curation
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highlight visibility
(4.36%)
behavioral
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(-1.10%)
harmonious color
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immersiveness
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interaction
(1.00%)
interesting subject
(-49.24%)
intrusive object presence
(-8.25%)
lively color
(-20.89%)
low light
(86.67%)
noise
(-17.94%)
pleasant camera tilt
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pleasant composition
(-30.27%)
pleasant lighting
(-31.67%)
pleasant pattern
(2.03%)
pleasant perspective
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pleasant post processing
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pleasant reflection
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pleasant symmetry
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sharply focused subject
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tastefully blurred
(-15.98%)
well chosen subject
(2.61%)
well framed subject
(6.87%)
well timed shot
(7.34%)
all
(-0.63%)
* 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.