Photos | Electric Nights at Coachella 2024

Capturing the thrill and vibrancy of a spirited crowd under the enchanting night sky during Week 2 of Coachella 2024.
Full Description:
This dynamic photo from Coachella 2024, taken on April 20th, encapsulates the essence of a large-scale music festival. As night falls over the venue, the atmosphere thickens with excitement and collective joy. The vast crowd, speckled with diverse attendees, gazes at the towering stage, hypnotized by the performance and elaborate stage lighting. In the backdrop, whimsically lit art installations add to the surreal environment, creating a colorful silhouette against the night sky. The image not only showcases the density and diversity of the audience but also reflects the palpable energy and camaraderie typical of such a beloved musical event. The visual narrative confirms Coachella’s status as a melting pot of culture and a beacon for music lovers worldwide.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2024-04-20T22:50:59.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.86%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-1.05%)
harmonious color
(3.93%)
immersiveness
(1.59%)
interaction
(1.00%)
interesting subject
(-34.77%)
intrusive object presence
(-18.77%)
lively color
(-21.17%)
low light
(99.02%)
noise
(-21.97%)
pleasant camera tilt
(-6.97%)
pleasant composition
(-54.44%)
pleasant lighting
(-41.16%)
pleasant pattern
(11.01%)
pleasant perspective
(7.84%)
pleasant post processing
(-0.81%)
pleasant reflection
(0.08%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.22%)
tastefully blurred
(-15.60%)
well chosen subject
(4.15%)
well framed subject
(-43.24%)
well timed shot
(9.58%)
all
(-3.29%)
* 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.