Photos | Nighttime Vibes at Coachella 2024

A moment of respite amidst the festival excitement
Full Description:
Captured at Coachella 2024 during the second weekend, this photograph encapsulates a serene nighttime scene amidst the dynamic environment of the festival. In the foreground, two men sit on the grass, engrossed in a conversation and mobile phone usage, highlighting the blend of personal interaction and digital engagement at modern music festivals. They, along with others captured in the image, represent a cross-section of festival-goers, from adults to teens, all soaking in the surreal atmosphere marked by dim, ambient lighting and scattered crowds. The scene is set against a backdrop featuring smoky effects and festival lights, adding a mystical quality to the moment. Taken on April 19, 2024, this image not only documents the event but also the unique cultural and social dynamics at play in urban festival settings.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
25600
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-19T20:51:38.590000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.63%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.46%)
harmonious color
(6.20%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(12.71%)
intrusive object presence
(-4.32%)
lively color
(-30.59%)
low light
(93.02%)
noise
(-3.81%)
pleasant camera tilt
(-5.20%)
pleasant composition
(-54.59%)
pleasant lighting
(-22.51%)
pleasant pattern
(2.88%)
pleasant perspective
(3.27%)
pleasant post processing
(-0.44%)
pleasant reflection
(1.98%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.42%)
tastefully blurred
(-36.23%)
well chosen subject
(-25.34%)
well framed subject
(-29.98%)
well timed shot
(23.78%)
all
(-1.65%)
* 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.