Photos | Coachella Crowd Grooving to the Music

Thousands of music lovers converge at Coachella Sunday to rock out to their favorite bands amidst a sea of dancing feet, flowing clothes, and trendy accessories. David Jude Jolicoeur, Herschelle Gibbs, Yuriko Yamaguchi, and Salvatore Esposito are among the 29 people spotted in the big and vibrant crowd against the backdrop of clear blue skies, fences, and buildings. With the stage and massive speakers towering over them all, this festival-goer captured the essence of the music extravaganza that took place on April 18, 2010.
BLIP-2 Description:
a large crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
iso
400
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/2500s
camera make
Canon
camera model
lens model
date
2010-04-18T16:42:14.350000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.39%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.24%)
harmonious color
(4.48%)
immersiveness
(1.66%)
interaction
(1.00%)
interesting subject
(-14.14%)
intrusive object presence
(-24.15%)
lively color
(5.22%)
low light
(5.13%)
noise
(-0.98%)
pleasant camera tilt
(-15.43%)
pleasant composition
(-72.90%)
pleasant lighting
(-18.77%)
pleasant pattern
(6.69%)
pleasant perspective
(8.86%)
pleasant post processing
(2.76%)
pleasant reflection
(0.60%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.22%)
tastefully blurred
(-5.20%)
well chosen subject
(-2.19%)
well framed subject
(-38.16%)
well timed shot
(2.02%)
all
(-0.83%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, 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.