Photos | Night Lights and Smiles: Moments at Coachella 2024

Capturing the vibrant energy of festival-goers under the starlit sky at Coachella 2024.
Full Description:
This photograph, from the second weekend of Coachella 2024, encapsulates the lively atmosphere and diverse crowd that the festival is renowned for. The image features a group of adults, including both men and women, immersed in the festivities. The prominent figures, a woman with an engaging smile and a man in a tank top, symbolize the joy and free spirit typical of Coachella attendees. Lit partially by the ambient stage lights and the night sky, this moment is a testament to the festival's dynamic blend of music, culture, and fashion. The photo’s blurred background highlights the night’s bustling activity, while accessories like sunglasses and a floral backpack add to the festive attire, hinting at the personal styles and spontaneous adventures that define the Coachella experience.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
12800
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T21:36:20.140000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.07%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.56%)
harmonious color
(6.12%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(25.61%)
intrusive object presence
(-13.87%)
lively color
(-4.23%)
low light
(78.32%)
noise
(-1.37%)
pleasant camera tilt
(-0.30%)
pleasant composition
(-45.83%)
pleasant lighting
(-25.76%)
pleasant pattern
(1.39%)
pleasant perspective
(7.71%)
pleasant post processing
(5.10%)
pleasant reflection
(1.11%)
pleasant symmetry
(0.42%)
sharply focused subject
(3.34%)
tastefully blurred
(-7.71%)
well chosen subject
(-10.83%)
well framed subject
(24.87%)
well timed shot
(15.78%)
all
(1.22%)
* 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.