Photos | Urban Beats Under the Stars: Coachella 2024, Weekend 2

A vibrant crowd immerses in the magnetic pull of music at Coachella 2024, captured during a lively night performance.
Full Description:
This photo from Dave Bullock's Coachella 2024 collection, taken on the evening of April 20, 2024, encapsulates the electrifying atmosphere of the festival's second weekend. The image showcases an exuberant audience in the throes of celebration against a backdrop of city lights and night sky, vividly highlighting the quintessential urban music experience. Among the diverse crowd of approximately 19 people, we see a dynamic mix of ages including children, teens, and adults. The setting combines elements of night life and nature, illuminated by sporadic lighting that fits the spontaneous essence of a block party amidst a metropolis. Accessories like glasses and hats dot the scene, adding personality to each festival-goer caught in this captivating moment.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:35:49.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.78%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-1.05%)
harmonious color
(-2.01%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-30.98%)
intrusive object presence
(-15.67%)
lively color
(-25.88%)
low light
(57.47%)
noise
(-7.08%)
pleasant camera tilt
(-11.32%)
pleasant composition
(-83.06%)
pleasant lighting
(-48.00%)
pleasant pattern
(7.79%)
pleasant perspective
(-4.37%)
pleasant post processing
(-1.64%)
pleasant reflection
(0.88%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.20%)
tastefully blurred
(-21.29%)
well chosen subject
(5.42%)
well framed subject
(-63.62%)
well timed shot
(-0.94%)
all
(-9.04%)
* 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.