Photos | Renato Garcia Rocks the Coachella Stage
A thrilling performance by Renato Garcia leaves the crowded Coachella audience in awe. The stage lighting and enthusiastic crowd made for an unforgettable night of music and entertainment.
BLIP-2 Description:
a man on stage with a microphone and a crowd watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities necklace urban rock leisure music mobile footwear stage microphone wristwatch hat performing arts musician entertainer performance traffic shoe weekend art renato garcia club glasses coachella life electronics jewelry performer light group performance accessories musical instrument night recreation band lighting device phone rock concert concert crowd singer electrical
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3200
metering mode
5
aperture
f/2.8
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-1.33
focal length
23mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2013-04-14T22:29:08.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.82%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-1.78%)
harmonious color
(1.84%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(7.81%)
intrusive object presence
(-27.27%)
lively color
(-34.55%)
low light
(100.00%)
noise
(-2.73%)
pleasant camera tilt
(-6.38%)
pleasant composition
(-80.32%)
pleasant lighting
(-36.35%)
pleasant pattern
(3.30%)
pleasant perspective
(-2.20%)
pleasant post processing
(-2.51%)
pleasant reflection
(-1.61%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.34%)
tastefully blurred
(-30.93%)
well chosen subject
(1.75%)
well framed subject
(-19.15%)
well timed shot
(14.48%)
all
(-5.54%)
* 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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