Photos | Moments Captured: Coachella 2024

A festival-goer engaged in capturing the vibrant scene at Coachella 2024, set against a picturesque sunset.
Full Description:
The photograph, taken at Coachella during its 2024 session on the weekend of April 19th, shows a young man focused on capturing moments with his mobile phone. His attention is concentrated on the phone's screen, as he stands amidst a blurred background of other festival attendees under the soft, dimming light of a setting sun. The image exudes the essence of event photography, emphasizing personal interactions with technology amidst collective celebration. His patterned shirt adds a touch of style typical of festival fashion, blending in perfectly with the casual and eclectic attire of the crowd around him. This scene encapsulates the modern digital experience in social gatherings, where moments are shared instantly, and memories are curated through the lenses of personal devices.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
500
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T18:17:32.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.74%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.71%)
harmonious color
(3.87%)
immersiveness
(1.51%)
interaction
(1.00%)
interesting subject
(-0.54%)
intrusive object presence
(-6.20%)
lively color
(20.31%)
low light
(62.84%)
noise
(-2.49%)
pleasant camera tilt
(-0.51%)
pleasant composition
(2.47%)
pleasant lighting
(10.50%)
pleasant pattern
(5.69%)
pleasant perspective
(7.14%)
pleasant post processing
(9.45%)
pleasant reflection
(2.17%)
pleasant symmetry
(0.66%)
sharply focused subject
(17.68%)
tastefully blurred
(62.30%)
well chosen subject
(9.35%)
well framed subject
(44.43%)
well timed shot
(4.86%)
all
(11.54%)
* 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.