Photos | United in Rhythm: Coachella 2024 Enthusiasm

An enthralled crowd raises their hands in sync with the vibrant vibes at Coachella 2024, capturing the essence of collective excitement.
Full Description:
This image, taken on April 20, 2024, at Coachella's second weekend, encapsulates the dynamic atmosphere of a live concert. The photograph features an array of attendees, prominently adult males but also includes diverse elements of the crowd, with hands reaching upward symbolizing participation and the sheer joy of the moment. The setting sun casts a gentle backlight, creating silhouettes and highlighting the connectedness of the crowd. The energy of the music festival is palpable, as attendees sporting various accessories from sunglasses to baseball caps absorb the thrilling sounds and sights around them. This moment is not just about the music but also the communal experience, making it a memorable part of the Coachella 2024 gallery.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
320
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T18:13:03.080000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.38%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-7.50%)
harmonious color
(0.61%)
immersiveness
(1.78%)
interaction
(1.00%)
interesting subject
(-26.29%)
intrusive object presence
(-4.00%)
lively color
(-2.93%)
low light
(98.83%)
noise
(-4.22%)
pleasant camera tilt
(-2.45%)
pleasant composition
(-55.96%)
pleasant lighting
(-50.39%)
pleasant pattern
(6.57%)
pleasant perspective
(-3.91%)
pleasant post processing
(5.33%)
pleasant reflection
(1.59%)
pleasant symmetry
(0.68%)
sharply focused subject
(1.61%)
tastefully blurred
(-18.46%)
well chosen subject
(2.48%)
well framed subject
(-29.74%)
well timed shot
(5.80%)
all
(-3.72%)
* 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.