Photos | Moments of Joy: Friends at Coachella 2024

Two friends share a joyful moment on the grass under the colorful arch of the Coachella stage.
Full Description:
Captured during the second weekend of Coachella 2024, this image encapsulates the vibrant energy and shared happiness among festival-goers. In the foreground, two women are seen laughing and embracing, seated on the grass. Their casual attire and cheerful expressions complement the dynamic background highlighted by the iconic Coachella stage with its radiant, rainbow-colored lighting. A range of festival attendees can be seen in the background, each engrossed in their own experiences. The scene is framed uniquely with parts of other attendees' clothing and accessories, adding layers and a sense of immediacy to the photograph. This photo not only showcases the festival's lively atmosphere but also emphasizes the personal connections made amidst the vast crowd.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
iso
2000
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2024-04-19T17:15:20.260000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.33%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.83%)
harmonious color
(0.56%)
immersiveness
(1.73%)
interaction
(1.00%)
interesting subject
(-9.58%)
intrusive object presence
(-40.80%)
lively color
(11.36%)
low light
(69.58%)
noise
(-4.08%)
pleasant camera tilt
(-6.79%)
pleasant composition
(-70.75%)
pleasant lighting
(-41.21%)
pleasant pattern
(15.19%)
pleasant perspective
(-17.18%)
pleasant post processing
(3.92%)
pleasant reflection
(5.18%)
pleasant symmetry
(0.39%)
sharply focused subject
(1.81%)
tastefully blurred
(19.74%)
well chosen subject
(-31.10%)
well framed subject
(-29.98%)
well timed shot
(-4.90%)
all
(-5.91%)
* 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.