Photos | Vibrant Gathering at Coachella 2024

A dynamic snapshot of the spirited crowd at Coachella, capturing the essence of festival excitement and community on April 19, 2024.
Full Description:
This photograph, part of the Coachella 2024 WK2 album, vividly presents the energy and diversity of a festival crowd immersed in a live music experience. The setting sun casts soft lighting over dozens of attendees, accentuating details and emotions, from joyous expressions to casual conversations. Technical elements like the grand stage structures and high-tech sound equipment blend into the background, focusing on the 33 individuals that represent the scene. This image not only documents a moment of collective enjoyment but also illustrates the unique urban and cultural tapestry that defines such iconic gatherings. Accessories like glasses can be seen adorning some faces, adding personal flair to the communal atmosphere.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
1000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-04-19T17:36:22.500000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.44%)
failure
(-0.76%)
harmonious color
(-2.32%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-38.77%)
intrusive object presence
(-22.78%)
lively color
(-7.14%)
low light
(31.98%)
noise
(-2.44%)
pleasant camera tilt
(-11.53%)
pleasant composition
(-87.70%)
pleasant lighting
(-57.37%)
pleasant pattern
(6.49%)
pleasant perspective
(-2.51%)
pleasant post processing
(2.95%)
pleasant reflection
(-0.88%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.27%)
tastefully blurred
(-1.99%)
well chosen subject
(11.46%)
well framed subject
(-59.03%)
well timed shot
(14.22%)
all
(-7.01%)
* 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.