Photos | Electric Nights at Coachella 2024

A thriving crowd immersed in the vibrant performance, capturing the essence of Coachella's second weekend in 2024.
Full Description:
This stirring image, taken at Coachella 2024 during the second weekend on April 19th, encapsulates the electrifying atmosphere of a live concert under the starlit sky. The photo shows a dense crowd of festival-goers, including adults and children, all captivated by the exhilarating performance ongoing on the stage. Various elements like the dynamic stage lighting and bursts of fog add to the intensity and festive mood. Audience members are seen with raised hands and smartphones, trying to capture the moment, highlighting the blend of technology and live experience that defines modern music festivals. The passionate engagement of the crowd, paired with the urban backdrop of the festival, presents a snapshot of contemporary cultural excitement and collective enjoyment.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
4000
metering mode
5
aperture
f/3.2
focal length
70mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2024-04-19T21:26:28.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-12.26%)
harmonious color
(-1.98%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-68.65%)
intrusive object presence
(-9.52%)
lively color
(-29.44%)
low light
(99.95%)
noise
(-16.60%)
pleasant camera tilt
(-8.27%)
pleasant composition
(-85.74%)
pleasant lighting
(-74.56%)
pleasant pattern
(4.39%)
pleasant perspective
(-15.43%)
pleasant post processing
(-2.47%)
pleasant reflection
(-6.48%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.22%)
tastefully blurred
(-42.16%)
well chosen subject
(7.70%)
well framed subject
(-63.33%)
well timed shot
(8.01%)
all
(-13.04%)
* 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.