Photos | Rocking Out Under the Coachella Night Sky
Les Claypool and his bandmates put on an electrifying performance at Coachella 2010, complete with mesmerizing lights and high-energy music.
BLIP-2 Description:
the band is playing on stage at nightChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
string group activities les spotlight urban rock leisure music speaker footwear claypool stage music band musical instrument hat microphone performing arts musician entertainer saturday guitarist performance shoe art glasses coachella electronics drum performer light accessories musical instrument recreation speakers lighting device guitar concert crowd singer les claypool electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2010-04-17T23:07:00.550000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-1.22%)
harmonious color
(3.66%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(3.62%)
intrusive object presence
(-9.08%)
lively color
(-36.45%)
low light
(100.00%)
noise
(-5.27%)
pleasant camera tilt
(-5.63%)
pleasant composition
(-38.70%)
pleasant lighting
(-42.48%)
pleasant pattern
(4.69%)
pleasant perspective
(2.44%)
pleasant post processing
(-2.44%)
pleasant reflection
(-2.69%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.49%)
tastefully blurred
(-10.52%)
well chosen subject
(-8.75%)
well framed subject
(0.20%)
well timed shot
(18.77%)
all
(-2.89%)
* 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.