Photos | Enthralling Moments at Coachella 2024

Captured in the midst of excitement, the crowd at Coachella 2024, with phones held high, records unforgettable performances.
Full Description:
This vibrant and dynamic shot from Coachella 2024 encapsulates the essence of a music festival experience. Taken on April 20th, amidst the electrifying atmosphere of Week 2, the image prominently features a sea of concert-goers, their attention fixed on the spectacular stage performances. The blur of lights and colors conveys the high energy of the event, as every individual is caught in a moment of joy and musical ecstasy. The foreground highlights a person capturing the concert on a mobile phone, illustrating the modern way attendees immortalize and share their live experiences. This photograph not only captures the spirit of Coachella but also vividly portrays the communal celebration of music and art that defines such events.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
25600
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:35:45.660000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.31%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-5.88%)
harmonious color
(-0.46%)
immersiveness
(1.59%)
interaction
(1.00%)
interesting subject
(-13.89%)
intrusive object presence
(-5.57%)
lively color
(-22.18%)
low light
(99.51%)
noise
(-12.60%)
pleasant camera tilt
(-6.50%)
pleasant composition
(-41.94%)
pleasant lighting
(-68.60%)
pleasant pattern
(9.23%)
pleasant perspective
(-12.49%)
pleasant post processing
(4.79%)
pleasant reflection
(-2.69%)
pleasant symmetry
(0.20%)
sharply focused subject
(1.93%)
tastefully blurred
(-3.57%)
well chosen subject
(-19.41%)
well framed subject
(-42.26%)
well timed shot
(1.12%)
all
(-7.40%)
* 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.