Photos | Under the Purple Haze: Coachella Vibes 2024

A mesmerizing night at Coachella 2024, where the music and crowd unite under spectacular stage lights.
Full Description:
Captured on the night of April 19, 2024, this photograph encapsulates the spirit of Coachella Weekend 2. The expansive crowd, estimated to include at least 32 people, is bathed in a vivid purple glow from the stage lights, creating an electrifying atmosphere at the urban music festival. Here, the stage dominates the left side of the frame, displaying dynamic visuals that complement the live performances. The audience, a mix of different demographics, is engrossed in the experience. Notable features of interest include flares of lighting effects and the detailed architecture of the stage setup, highlighting the urban essence of this night. This image perfectly portrays the quintessential experience of a nighttime rock concert in a bustling metropolis.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
102400
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2024-04-19T22:55:35.020000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.07%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.85%)
harmonious color
(1.26%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-20.90%)
intrusive object presence
(-12.43%)
lively color
(-29.79%)
low light
(98.14%)
noise
(-50.34%)
pleasant camera tilt
(-7.01%)
pleasant composition
(-58.25%)
pleasant lighting
(-48.49%)
pleasant pattern
(4.13%)
pleasant perspective
(-0.25%)
pleasant post processing
(6.41%)
pleasant reflection
(0.15%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.15%)
tastefully blurred
(-3.80%)
well chosen subject
(-4.43%)
well framed subject
(-33.72%)
well timed shot
(29.44%)
all
(-3.06%)
* 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.