Photos | Les Claypool Rocking the Crowd

Bassist and entertainer Les Claypool electrifies the audience with his guitar skills during a performance at the 2010 Coachella music festival. The lighting and speakers add to the electric atmosphere of the rock concert.
BLIP-2 Description:
the xx - the xx - the xx - the xx - the xx - the xx - theMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban activities band device recreation saturday musician coachella drum spotlight accessories performer rock performance les claypool glasses crowd musical instrument singer guitarist musical guitar concert music light string entertainer electrical speakers stage leisure hat art performing arts microphone group performance electronics
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2010-04-17T23:03:25.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.95%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-2.42%)
harmonious color
(3.02%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-17.80%)
intrusive object presence
(-9.72%)
lively color
(-27.29%)
low light
(100.00%)
noise
(-6.27%)
pleasant camera tilt
(-8.15%)
pleasant composition
(-60.01%)
pleasant lighting
(-47.17%)
pleasant pattern
(10.11%)
pleasant perspective
(-3.65%)
pleasant post processing
(0.52%)
pleasant reflection
(-1.06%)
pleasant symmetry
(2.00%)
sharply focused subject
(0.66%)
tastefully blurred
(-6.50%)
well chosen subject
(-7.64%)
well framed subject
(-30.96%)
well timed shot
(15.04%)
all
(-4.32%)
* 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.