Photos | Electric Nights at Coachella 2024

A vibrant crowd immersed in the spectacle of lights and music at Coachella, April 19th, 2024.
Full Description:
This photograph captures a dynamic moment from Coachella 2024 during the second weekend, showcasing a crowd of enthusiastic festival-goers enveloped in an atmospheric fusion of smoke, colorful stage lights, and urban palm tree silhouettes. The scene highlights the collective energy and diverse attire of the audience, with several individuals sporting accessories like glowing hats and glasses, capturing the quintessential spirit of this iconic music festival. Flares of light from the stage add a dramatic flair, illustrating the pulsating nightlife and the communal experience of live music. This image is part of the 2024/Coachella 2024 WK2 album, documenting the exuberance and vibrant cultural tapestry of one of the most celebrated music festivals held in the metropolitan backdrop of Coachella Valley.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2024-04-19T21:20:03.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.76%)
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highlight visibility
(4.36%)
behavioral
(70.49%)
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(-1.17%)
harmonious color
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immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-39.79%)
intrusive object presence
(-18.09%)
lively color
(-37.67%)
low light
(88.09%)
noise
(-15.31%)
pleasant camera tilt
(-10.02%)
pleasant composition
(-81.25%)
pleasant lighting
(-58.54%)
pleasant pattern
(1.90%)
pleasant perspective
(-5.26%)
pleasant post processing
(3.97%)
pleasant reflection
(-4.79%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.10%)
tastefully blurred
(-15.75%)
well chosen subject
(18.77%)
well framed subject
(-51.37%)
well timed shot
(34.35%)
all
(-6.47%)
* 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.