Photos | Euphoria in the Crowd: Coachella 2024

A spirited moment captured among Coachella enthusiasts, resonating with the vibrant energy of live music!
Full Description:
This image, taken on the night of April 19th, 2024, depicts a lively crowd at the second weekend of Coachella 2024. Filled with exuberance and a palpable sense of unity, the festival-goers are seen immersed in the thrilling experience of live performances. Prominent in the foreground, a man wearing a hat beams with joy, exemplifying the euphoric atmosphere that pervades the event. The blurring of the crowd and the dynamic lighting encapsulate the essence of night life and the ecstatic mood of a music festival. This photograph not only captures a moment of collective joy but also showcases the diverse fashion and accessories sported by festival attendees, from casual to chic, including hats, bracelets, and various other personal adornments.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
8000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T21:33:27.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.61%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-8.13%)
harmonious color
(1.17%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-28.30%)
intrusive object presence
(-9.96%)
lively color
(-11.97%)
low light
(99.32%)
noise
(-4.15%)
pleasant camera tilt
(-3.95%)
pleasant composition
(-59.28%)
pleasant lighting
(-46.95%)
pleasant pattern
(5.52%)
pleasant perspective
(-5.85%)
pleasant post processing
(-2.38%)
pleasant reflection
(1.64%)
pleasant symmetry
(0.20%)
sharply focused subject
(1.46%)
tastefully blurred
(-42.16%)
well chosen subject
(0.58%)
well framed subject
(-13.90%)
well timed shot
(-6.44%)
all
(-6.89%)
* 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.