Photos | Vibrant Blur: A Coachella Evening

Capturing the energetic blur of a crowd at Coachella 2024 under a canopy of purple lights. This moment from Week 2 of the festival encapsulates the lively spirit and collective enjoyment of music under the evening sky.
Full Description:
On April 20, 2024, the atmosphere at Coachella was pulsating with energy, illuminated by striking purple lights that cast a dreamlike glow over the audience. This image, taken at 18:34, uses a soft focus to artistically emphasize the mood and vibrancy of the event rather than distinct facial details, presenting the crowd as a tapestry of colors and emotions. The bokeh effect enhances the visual allure, drawing viewers into the vivid, ephemeral experience of this festival night. With the backdrop of an urban setting merging subtly with nature, the scene bridges the serene with the dynamic, reflecting a night of unforgettable musical revelry.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
5000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T18:34:03.200000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.71%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.16%)
failure
(-58.20%)
harmonious color
(5.94%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-66.06%)
intrusive object presence
(-13.96%)
lively color
(-15.83%)
low light
(97.61%)
noise
(-31.64%)
pleasant camera tilt
(-1.93%)
pleasant composition
(-48.24%)
pleasant lighting
(-51.71%)
pleasant pattern
(1.03%)
pleasant perspective
(-1.62%)
pleasant post processing
(3.24%)
pleasant reflection
(-0.99%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.93%)
tastefully blurred
(-65.77%)
well chosen subject
(10.65%)
well framed subject
(-2.78%)
well timed shot
(-4.89%)
all
(-6.04%)
* 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.