Photos | Electric Night at Coachella 2024

A vivid capture of the crowd immersed in the electrifying atmosphere at Coachella 2024, Weekend 2.
Full Description:
This image, taken on April 19, 2024, showcases a vibrant scene from the second weekend of Coachella 2024. The photo vividly captures the essence of a concert crowd engrossed in a spectacular performance. Bathed in dramatic red and white stage lights, a sea of festival attendees, composed of approximately 11 people, can be seen with arms raised high, some holding up their mobile phones to capture the moment. Within this lively group, you can spot distinct elements such as glasses, hats, and various clothing styles that reflect the urban and contemporary fashion typical at Coachella. The photo not only highlights the communal joy and excitement of live music but also serves as a testament to the cultural and electronic vibrancy that defines urban night life and large music events.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
4000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:40:33.220000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(53.37%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-1.39%)
harmonious color
(12.25%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-9.92%)
intrusive object presence
(-36.47%)
lively color
(-20.80%)
low light
(97.41%)
noise
(-1.86%)
pleasant camera tilt
(-6.98%)
pleasant composition
(-58.64%)
pleasant lighting
(-42.72%)
pleasant pattern
(5.00%)
pleasant perspective
(3.34%)
pleasant post processing
(12.52%)
pleasant reflection
(-0.91%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.37%)
tastefully blurred
(-10.96%)
well chosen subject
(2.75%)
well framed subject
(-21.97%)
well timed shot
(37.08%)
all
(1.26%)
* 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.