Photos | Les Claypool Rocks Coachella with Bass Guitar and Top Hat
Les Claypool, the eccentric entertainer, rocks the crowd at Coachella with his signature bass guitar and top hat combo. The light shines brightly on his unique style and impressive musical talent.
BLIP-2 Description:
a man in a top hat playing a bass guitarChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet tie string activities headgear formal electric guitar spotlight urban rock leisure music stage microphone hat performing arts musician entertainer saturday guitarist performance art chordophone glasses coachella wear performer jewelry light solo performance accessories musical instrument recreation bass lighting device guitar fedora concert crowd les claypool electrical
iso
1600
metering mode
5
aperture
f/3.5
focal length
105mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2010-04-17T23:08:18-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.57%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.22%)
harmonious color
(9.95%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(51.76%)
intrusive object presence
(-11.43%)
lively color
(-30.49%)
low light
(78.08%)
noise
(-2.54%)
pleasant camera tilt
(-2.06%)
pleasant composition
(-7.62%)
pleasant lighting
(-6.20%)
pleasant pattern
(3.22%)
pleasant perspective
(9.41%)
pleasant post processing
(-2.52%)
pleasant reflection
(1.01%)
pleasant symmetry
(0.93%)
sharply focused subject
(4.47%)
tastefully blurred
(24.54%)
well chosen subject
(19.65%)
well framed subject
(66.06%)
well timed shot
(27.44%)
all
(7.26%)
* 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.