Photos | Night Riders: A Coachella 2024 Snapshot

A cyclist lights up the night at Coachella 2024, pedaling past festival goers with infectious energy.
Full Description:
Captured during the second weekend of Coachella 2024, this photograph showcases a vibrant, nighttime scene where transportation and celebration intertwine. A cyclist, equipped with a brightly-lit bicycle and helmet, pedals vigorously, pulling a cargo trailer amid a backdrop of festival attendees. The scene is illuminated by ambient stage lights and flares, adding a dramatic flair to the already energetic atmosphere. This vivid image not only highlights the diversity of activities available at Coachella but also underlines the festival’s unique blend of music, art, and communal experiences. As we see individuals moving about, the image portrays a moment of motion and festivity, making it a memorable snapshot of Coachella 2024.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
25600
metering mode
5
aperture
f/3.2
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:55:37.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.56%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.76%)
harmonious color
(4.28%)
immersiveness
(1.66%)
interaction
(1.00%)
interesting subject
(14.50%)
intrusive object presence
(-6.88%)
lively color
(-20.65%)
low light
(94.43%)
noise
(-6.13%)
pleasant camera tilt
(-1.29%)
pleasant composition
(-5.88%)
pleasant lighting
(-16.77%)
pleasant pattern
(4.93%)
pleasant perspective
(15.70%)
pleasant post processing
(3.39%)
pleasant reflection
(5.14%)
pleasant symmetry
(0.73%)
sharply focused subject
(1.71%)
tastefully blurred
(-12.60%)
well chosen subject
(-11.49%)
well framed subject
(23.93%)
well timed shot
(18.42%)
all
(5.01%)
* 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.