Photos | Vibrant Moments at Coachella 2024

A spirited scene captures festival-goers dressed in their distinctive styles at Coachella 2024.
Full Description:
This photo from Coachella 2024, dated April 20th, encapsulates the eclectic mix of festival fashion and energy. The image features a diverse group of individuals, predominantly women, indulging in the festival's atmosphere. Key elements include a vivid assortment of clothing styles including skirts, shorts, and a variety of hats and shoes, reflecting the creative self-expression for which Coachella is renowned. Among the crowd, a young woman in a multi-colored strapless top and white accessories, including large hoop earrings and several necklaces, stands out as she smiles brightly, seemingly interacting with someone off-camera. This photograph not only highlights personal style and joy but also captures the communal spirit typical of such an iconic music festival.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/3.5
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T17:45:28.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.87%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.84%)
failure
(-0.44%)
harmonious color
(-2.14%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-39.38%)
intrusive object presence
(-21.75%)
lively color
(-5.88%)
low light
(17.24%)
noise
(-1.10%)
pleasant camera tilt
(-7.11%)
pleasant composition
(-86.77%)
pleasant lighting
(-31.49%)
pleasant pattern
(2.00%)
pleasant perspective
(-9.31%)
pleasant post processing
(-1.02%)
pleasant reflection
(3.63%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.81%)
tastefully blurred
(3.75%)
well chosen subject
(-12.21%)
well framed subject
(-31.62%)
well timed shot
(20.17%)
all
(-5.01%)
* 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.