Photos | Les Claypool in Concert
The talented Les Claypool, donning his signature hat and playing his bass guitar for a captivated audience at Coachella 2010. The spotlight shines bright on the enthralling entertainer as he showcases his musical talents on stage.
BLIP-2 Description:
a man in a hat playing a bass on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
tie string activities group headgear formal necklace les spotlight urban rock leisure music claypool stage music band microphone hat wristwatch solo performing arts musician entertainer saturday guitarist performance art chordophone glasses coachella wear rekognition_c performer jewelry light electric accessories musical instrument recreation lighting device guitar concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
78mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2010-04-17T23:10:44-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(58.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-0.22%)
harmonious color
(16.37%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(46.58%)
intrusive object presence
(-11.35%)
lively color
(-13.81%)
low light
(78.08%)
noise
(-5.47%)
pleasant camera tilt
(1.88%)
pleasant composition
(16.86%)
pleasant lighting
(15.61%)
pleasant pattern
(3.37%)
pleasant perspective
(19.98%)
pleasant post processing
(0.12%)
pleasant reflection
(4.78%)
pleasant symmetry
(2.29%)
sharply focused subject
(9.45%)
tastefully blurred
(9.59%)
well chosen subject
(25.83%)
well framed subject
(65.82%)
well timed shot
(27.71%)
all
(14.24%)
* 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,
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