Photos | Les Claypool Rocks Coachella Stage
The talented entertainer Les Claypool mesmerizes the crowd in his fedora hat while playing his bass guitar under the spotlight during his solo performance at the 2010 Coachella concert.
BLIP-2 Description:
a man in a hat playing a bass on stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
string group activities headgear spotlight urban rock leisure music stage music band lamp microphone hat wristwatch solo performing arts musician entertainer saturday guitarist performance art chordophone glasses coachella performer light electric accessories musical instrument recreation lighting device part guitar fedora concert crowd singer les claypool 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
2010-04-17T23:10:45-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(62.30%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.29%)
harmonious color
(11.83%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(45.92%)
intrusive object presence
(-9.67%)
lively color
(-22.80%)
low light
(70.07%)
noise
(-3.20%)
pleasant camera tilt
(0.51%)
pleasant composition
(24.12%)
pleasant lighting
(6.84%)
pleasant pattern
(5.35%)
pleasant perspective
(11.81%)
pleasant post processing
(-1.71%)
pleasant reflection
(2.84%)
pleasant symmetry
(2.59%)
sharply focused subject
(11.01%)
tastefully blurred
(12.12%)
well chosen subject
(14.36%)
well framed subject
(62.99%)
well timed shot
(21.51%)
all
(11.95%)
* 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.