Photos | Euphoria Under the Stars: Coachella 2024

Captured moments of vibrant euphoria, an abstract view of the energetic Coachella crowd, lit by the vivid hues of concert lights.
Full Description:
This photo taken at Coachella 2024 during the second weekend encapsulates the essence of music festivals - uninhibited joy and collective experience. Although the exact individuals are indistinct, the image beautifully showcases the atmosphere of the event with a blur of colorful lights reflecting the dynamic mood of the night. Shot on the evening of April 19th, 2024, the photograph utilizes a shallow depth of field, focusing merely on the mesmerizing play of lights which represents both the tangible energy of the moment and the urban, outdoors setting. This abstract portrayal not only emphasizes the scale of the audience but also the personal yet universal experience of music lovers gathered under the night sky, surrounded by nature and urban vibes alike.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:33:31.260000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.41%)
curation
(50.00%)
highlight visibility
(1.98%)
behavioral
(10.02%)
failure
(-8.25%)
harmonious color
(15.72%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-71.34%)
intrusive object presence
(-1.61%)
lively color
(3.92%)
low light
(99.27%)
noise
(-1.66%)
pleasant camera tilt
(-3.75%)
pleasant composition
(-26.34%)
pleasant lighting
(-6.99%)
pleasant pattern
(14.26%)
pleasant perspective
(-9.31%)
pleasant post processing
(4.03%)
pleasant reflection
(-0.73%)
pleasant symmetry
(0.15%)
sharply focused subject
(5.27%)
tastefully blurred
(12.55%)
well chosen subject
(8.85%)
well framed subject
(-20.61%)
well timed shot
(-14.69%)
all
(2.34%)
* 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.