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
lighting machine speaker room wheel urban jaron theater laptop device recreation saturday part strohl weekend coachella alex strohl lanier back pc cinema indoors bag accessories jaron lanier performing rock performance auditorium alex night footwear crowd club concert audience interior nightclub electrical computer life handbag hall rekognition_c stage arts hat art microphone electronics shoe
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.