Photos | Chuck D and Professor Griff on Stage at Coachella 2009
Chuck D and Professor Griff of Public Enemy perform for a crowd of thousands at Coachella 2009, with vibrant lighting and music filling the air.
BLIP-2 Description:
two men on stage at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
activities coachella dancing speakers indoors footwear musical lamp theater concert electrical urban performing arts horn leisure lighting chuck d griff recreation glasses guitar hat necklace speaker device section camera jewelry shoe crowd musician rock group performance wristwatch professor band light music microphone instrument brass electronics performer performance art spotlight stage accessories
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
35mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2009-04-19T20:24:04.600000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-0.32%)
harmonious color
(2.21%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(20.00%)
intrusive object presence
(-17.11%)
lively color
(-33.69%)
low light
(74.07%)
noise
(-1.61%)
pleasant camera tilt
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pleasant composition
(-66.02%)
pleasant lighting
(-31.69%)
pleasant pattern
(5.64%)
pleasant perspective
(3.38%)
pleasant post processing
(5.14%)
pleasant reflection
(0.05%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.71%)
tastefully blurred
(-29.74%)
well chosen subject
(-24.48%)
well framed subject
(9.03%)
well timed shot
(27.32%)
all
(-2.90%)
* 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
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