Photos | Electric Nights at Coachella 2024

The vibrant atmosphere of Coachella 2024 captured under golden lights, as festival-goers revel in the musical magic.
Full Description:
This photograph, taken during the second weekend of Coachella 2024, encapsulates the essence of the festival’s night life and urban flair. A diverse crowd of approximately 26 people is immersed in the electrifying performances of renowned artists. The ambiance is enhanced by the dramatic lighting that casts a warm glow over the audience, dotted with scattered balloons adding a playful touch to the scene. As faces turn towards the stage in collective awe, the air thrums with the palpable energy of a rock concert, club party, and fun night rolled into one. This image not only reflects the joy and dynamism of Coachella but also stands as a vivid testimony to the universal appeal of music and community gathering in festive spirits.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2024-04-20T15:17:46.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.69%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-2.15%)
harmonious color
(-3.57%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-27.15%)
intrusive object presence
(-12.96%)
lively color
(-24.38%)
low light
(99.17%)
noise
(-4.32%)
pleasant camera tilt
(-9.33%)
pleasant composition
(-77.49%)
pleasant lighting
(-68.41%)
pleasant pattern
(7.57%)
pleasant perspective
(-7.98%)
pleasant post processing
(1.99%)
pleasant reflection
(-2.73%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.12%)
tastefully blurred
(-25.93%)
well chosen subject
(-1.06%)
well framed subject
(-47.78%)
well timed shot
(39.01%)
all
(-7.26%)
* 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.