Photos | Capturing Moments at Coachella 2024

A festivalgoer immerses himself in the colors of Coachella, capturing the vibrant scene on his mobile phone.
Full Description:
Taken on April 20th, 2024, at the second weekend of Coachella, this photograph captures the essence of modern music festivals where technology meets tradition. The image is centered around a young man, adorned in a brightly colored floral shirt, using his smartphone to photograph his surroundings. Behind him, a dynamic backdrop of colorful fabric pieces flutter in the air, blurring in a way that suggests movement and energy. The festival atmosphere is palpable with diverse crowds enjoying the outdoor setting, highlighted by glimpses of festival architecture and a clear blue sky. This photograph not only depicts the act of capturing memories but also reflects the eclectic and electric vibe of Coachella, where each attendee is both a spectator and a part of the spectacle.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/14
focal length
24mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
date
2024-04-20T14:41:15.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.56%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-8.33%)
harmonious color
(6.51%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-20.00%)
intrusive object presence
(-16.99%)
lively color
(2.96%)
low light
(15.38%)
noise
(-4.35%)
pleasant camera tilt
(-6.38%)
pleasant composition
(-75.15%)
pleasant lighting
(-40.14%)
pleasant pattern
(1.29%)
pleasant perspective
(5.41%)
pleasant post processing
(6.43%)
pleasant reflection
(-2.72%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.66%)
tastefully blurred
(-83.20%)
well chosen subject
(-19.62%)
well framed subject
(14.44%)
well timed shot
(-7.83%)
all
(-6.41%)
* 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.