Photos | Under the Night Sky: Coachella 2024

A vibrant crowd immerses in the lively festivities at Coachella, captured on a bustling night at the 2024 festival.
Full Description:
Taken on the evening of April 20, 2024, this photograph encapsulates the essence of Coachella Weekend 2, illuminating the energy and spirit of an urban festival night. The image features a diverse crowd of festival-goers, estimated at around 47 people, enjoying the outdoor concert amidst an impressive display of festival lights and cityscape. The night sky, lit by stage lights and possibly distant fireworks, casts a vivid glow over the scene, highlighting the joy and communal experience unique to Coachella. Visible are several attendees dressed in casual festival attire, enhancing the informal and joyful atmosphere. This moment, frozen in time, conveys the unstoppable pulse of city life, music, and social harmony at one of the most iconic music festivals in the world.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
64000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-20T20:14:36.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.84%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.49%)
harmonious color
(2.90%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-49.98%)
intrusive object presence
(-10.42%)
lively color
(-40.80%)
low light
(99.46%)
noise
(-24.56%)
pleasant camera tilt
(-9.38%)
pleasant composition
(-80.91%)
pleasant lighting
(-59.86%)
pleasant pattern
(3.49%)
pleasant perspective
(1.51%)
pleasant post processing
(1.10%)
pleasant reflection
(2.66%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.10%)
tastefully blurred
(-12.71%)
well chosen subject
(0.37%)
well framed subject
(-58.40%)
well timed shot
(3.87%)
all
(-9.81%)
* 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.