Photos | Capturing Moments: Coachella Vibes 2024

Two friends share a selfie moment at Coachella 2024, encapsulating the festival spirit against a backdrop of palm trees and dusk.
Full Description:
This photograph from Coachella 2024 Weekend 2, taken on April 20th, features two young women in the middle of capturing a selfie. The image highlights their engagement with technology, as seen with the prominently displayed mobile phone, and their enjoyment at the festival. The setting sun casts a soft light, enhancing the casual and relaxed vibe typical of Coachella. In the background, the characteristic palm trees and festival infrastructure blend into the early evening sky. Accessories like sunglasses and subtle jewelry complement their festival attire, adding a touch of style to their laid-back looks. This image not only captures a personal moment but also reflects the broader festival atmosphere, surrounded by fellow music lovers and the scenic beauty of the outdoors.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
320
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T18:16:01.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.15%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.76%)
failure
(-0.17%)
harmonious color
(1.29%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(41.36%)
intrusive object presence
(-15.94%)
lively color
(1.57%)
low light
(53.03%)
noise
(-0.42%)
pleasant camera tilt
(-1.09%)
pleasant composition
(-26.98%)
pleasant lighting
(-9.52%)
pleasant pattern
(3.56%)
pleasant perspective
(-0.90%)
pleasant post processing
(4.41%)
pleasant reflection
(0.19%)
pleasant symmetry
(0.29%)
sharply focused subject
(6.71%)
tastefully blurred
(38.11%)
well chosen subject
(-9.30%)
well framed subject
(63.48%)
well timed shot
(10.82%)
all
(3.92%)
* 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.