Photos | Electric Nights: Coachella 2024

An electrifying night captured at Coachella 2024, Week 2, showcasing a vibrant crowd immersed in the concert's dynamic atmosphere.
Full Description:
This image taken on April 19, 2024, vividly captures the pulsating energy of Coachella’s second weekend. The photo features a diverse crowd of approximately 32 people, all engrossed in the urban night life vibe of the event. The indoor setting is bathed in dramatic lighting and festooned with glowing set pieces, highlighting the concert's modern aesthetic. Participants vary in demographics, with visible adults, both male and female, enjoying the festivities. The scene encapsulates the essence of a rock concert with the crowd’s rapt attention directed towards the stage, where the excitement of live music fills the air. This photograph not only reflects the energy and fun of such an event but also serves as a snapshot of cultural engagement and communal celebration at one of the most popular music festivals.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
5000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/10s
camera make
Canon
camera model
lens model
date
2024-04-19T20:23:05.370000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.35%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.41%)
failure
(-2.20%)
harmonious color
(-0.96%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-41.65%)
intrusive object presence
(-17.16%)
lively color
(-24.57%)
low light
(94.19%)
noise
(-1.25%)
pleasant camera tilt
(-10.52%)
pleasant composition
(-82.03%)
pleasant lighting
(-61.62%)
pleasant pattern
(4.00%)
pleasant perspective
(-6.84%)
pleasant post processing
(-0.65%)
pleasant reflection
(-4.53%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.10%)
tastefully blurred
(-25.34%)
well chosen subject
(11.38%)
well framed subject
(-61.43%)
well timed shot
(25.42%)
all
(-7.95%)
* 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.