Photos | Night Magic at Coachella 2024

Capturing the vibrant essence of Coachella, a dynamic fusion of music and crowd takes over the night, April 20, 2024.
Full Description:
This striking photograph, taken during the second weekend of Coachella 2024, encapsulates a mesmerizing moment on the festival stage. In the foreground, a camera operator, equipped with professional gear, is immersed in documenting the scene. The stage is alight with luminous red and soft white lights that blend into the hazy surroundings, intensifying the energetic atmosphere. Performers, adorned in colorful attire, animate the stage with their lively expressions and dynamic movements, engaging an animated crowd. Palms and other foliage peek through the dense smoke, adding a natural element to the urban festival setting. This image not only captures the essence of the concert but also serves as a vivid depiction of nightlife, outdoor entertainment, and the communal experience of music festivals.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
3200
metering mode
5
aperture
f/3.2
focal length
70mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T18:48:52.370000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.20%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-0.44%)
harmonious color
(10.10%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-17.20%)
intrusive object presence
(-19.60%)
lively color
(-31.18%)
low light
(94.38%)
noise
(-2.71%)
pleasant camera tilt
(-10.42%)
pleasant composition
(-57.03%)
pleasant lighting
(-31.01%)
pleasant pattern
(6.49%)
pleasant perspective
(8.88%)
pleasant post processing
(10.86%)
pleasant reflection
(-5.41%)
pleasant symmetry
(2.88%)
sharply focused subject
(0.34%)
tastefully blurred
(-5.16%)
well chosen subject
(-4.22%)
well framed subject
(-17.93%)
well timed shot
(27.59%)
all
(0.84%)
* 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.