Photos | Electric Nights at Coachella 2024

A luminous spectacle at Coachella 2024 Weekend 2, capturing the vibrant energy and enthusiastic crowd under dazzling lights.
Full Description:
This visually arresting image from Coachella Music Festival's second weekend in 2024 showcases a night filled with dynamic stage lighting and an energetic crowd immersed in the musical experience. Dated April 19th, the picture beautifully highlights the state-of-the-art stage setup and the shimmering light beams cutting through the nighttime haze, with silhouetted palm trees framing the scene. Various elements like the subtle presence of hats and the diverse expressions of the audience members add a vivid texture to the scene. The composition perfectly encapsulates the urban and contemporary essence of Coachella, set against the backdrop of a colorfully lit sky, embodying the spirit of modern music festivals in a metropolis setting.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T22:07:27.520000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-1.59%)
harmonious color
(-2.73%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-20.65%)
intrusive object presence
(-8.86%)
lively color
(-23.45%)
low light
(99.85%)
noise
(-40.04%)
pleasant camera tilt
(-5.93%)
pleasant composition
(-68.07%)
pleasant lighting
(-65.33%)
pleasant pattern
(15.77%)
pleasant perspective
(-3.38%)
pleasant post processing
(5.46%)
pleasant reflection
(-3.93%)
pleasant symmetry
(1.00%)
sharply focused subject
(0.12%)
tastefully blurred
(-11.82%)
well chosen subject
(-0.14%)
well framed subject
(-45.07%)
well timed shot
(11.12%)
all
(-7.02%)
* 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.