Photos | Electric Nights: Coachella 2024, Week 2

A vibrant crowd immersed in music and lights at Coachella 2024, captured at the peak of night festivities.
Full Description:
This image from the second week of Coachella 2024 on April 19 encapsulates the electrifying atmosphere of one of the world's most famed music festivals. Set against a backdrop of dazzling stage screens, the concert attendees, numbering fourteen, are deeply engaged with the performance. The scene is urban and contemporary, highlighted by streaks of green lighting that illuminate the enthusiasm of the crowd. Visible in the foreground, three attendees capture the moment on their glowing mobile phones, contributing to the digital and modern vibe of the scene. The image, a blend of concert, crowd, and urban nightlife elements, vividly portrays the infectious energy and communal spirit typical of Coachella's night performances.
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
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:36:25.560000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.24%)
failure
(-1.15%)
harmonious color
(13.56%)
immersiveness
(2.49%)
interaction
(1.00%)
interesting subject
(17.46%)
intrusive object presence
(-4.30%)
lively color
(-34.52%)
low light
(99.90%)
noise
(-8.13%)
pleasant camera tilt
(-7.07%)
pleasant composition
(-17.02%)
pleasant lighting
(-21.89%)
pleasant pattern
(21.22%)
pleasant perspective
(0.99%)
pleasant post processing
(3.75%)
pleasant reflection
(-6.20%)
pleasant symmetry
(1.20%)
sharply focused subject
(1.61%)
tastefully blurred
(20.14%)
well chosen subject
(-14.20%)
well framed subject
(-15.69%)
well timed shot
(16.39%)
all
(2.87%)
* 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.