Photos | Sebastian Urzendowsky Performs in Front of a Rapturous Crowd at Coachella 2008

Sebastian Urzendowsky delivers a spellbinding performance on stage in front of a sea of people at Coachella 2008. His incredible music captivated the audience and left them begging for more.
BLIP-2 Description:
a man playing music in front of a large crowdMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture speech group boy sebastian urzendowsky buddy spotlight classroom building lecture speaker footwear stage lamp hat wristwatch crowd furniture murphy performance shoe bag bernard desk camera hall glasses indoors coachella audience teen school interior electronics theater light table auditorium accessories room recreation lighting concert palanca handbag haochen zhang
iso
250
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2008-04-26T13:23:03-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.27%)
harmonious color
(-1.50%)
immersiveness
(1.81%)
interaction
(1.00%)
interesting subject
(1.61%)
intrusive object presence
(-6.59%)
lively color
(-23.39%)
low light
(36.89%)
noise
(-2.17%)
pleasant camera tilt
(-11.71%)
pleasant composition
(-57.57%)
pleasant lighting
(-28.96%)
pleasant pattern
(13.72%)
pleasant perspective
(14.37%)
pleasant post processing
(-0.30%)
pleasant reflection
(-0.79%)
pleasant symmetry
(2.47%)
sharply focused subject
(0.37%)
tastefully blurred
(-4.56%)
well chosen subject
(-0.33%)
well framed subject
(-27.05%)
well timed shot
(13.10%)
all
(-0.99%)
* 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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