Photos | Nighttime Vibrance at Coachella 2024

A moment of connection and diversity captured under the night sky at Coachella, April 20, 2024.
Full Description:
This evocative image from Coachella 2024 Weekend 2 showcases a diverse crowd of festival-goers enjoying the vibrant night atmosphere. The scene is dynamically lit, highlighting individuals in various attire, from casual festival fashion to unique headgear. Notably, the photograph includes people of different demographics and abilities, such as a person in a wheelchair, engaging in the collective experience with mobile phones in hand, either capturing memories or connecting digitally. The essence of urban outdoor nightlife is palpable, with the backdrop featuring festival lights and urban fixtures, blending the elements of music, community, and technology. This image not only captures the essence of Coachella but also reflects the inclusivity and mixed energies of a night filled with music and social interaction.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
80000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:06:28.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.25%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.59%)
harmonious color
(-1.61%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-54.44%)
intrusive object presence
(-6.96%)
lively color
(-43.92%)
low light
(98.10%)
noise
(-8.50%)
pleasant camera tilt
(-7.03%)
pleasant composition
(-79.83%)
pleasant lighting
(-49.66%)
pleasant pattern
(2.86%)
pleasant perspective
(-6.49%)
pleasant post processing
(0.34%)
pleasant reflection
(2.66%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.49%)
tastefully blurred
(-15.54%)
well chosen subject
(-24.93%)
well framed subject
(-36.57%)
well timed shot
(-7.10%)
all
(-11.15%)
* 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.