Photos | Music in the Night
Jaron Lanier captivates the crowd with his electrifying performance at Coachella 2012 Weekend 2. The lights, the stage, the microphones all merge to create a magical ambiance that's a treat to watch!
BLIP-2 Description:
a man playing music on a stage in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
strohl urban rock jaron speaker footwear stage arts microphone hat performing saturday performance shoe bag weekend art machine club hall indoors coachella audience pc alex life interior wheel electronics rekognition_c theater nightclub auditorium accessories room night jaron lanier recreation handbag lanier lighting laptop device part alex strohl back concert computer crowd cinema electrical
iso
6400
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
35mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2012-04-21T21:27:07.070000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.43%)
failure
(-1.56%)
harmonious color
(1.28%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-55.86%)
intrusive object presence
(-5.96%)
lively color
(-30.18%)
low light
(100.00%)
noise
(-11.87%)
pleasant camera tilt
(-12.23%)
pleasant composition
(-74.46%)
pleasant lighting
(-62.06%)
pleasant pattern
(8.74%)
pleasant perspective
(-6.27%)
pleasant post processing
(7.26%)
pleasant reflection
(-0.84%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.15%)
tastefully blurred
(-3.91%)
well chosen subject
(-1.10%)
well framed subject
(-44.14%)
well timed shot
(6.78%)
all
(-7.96%)
* 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.