Photos | Brandon Flowers Rocks the Crowd at Coachella 2009
Dressed in a sleek black suit, Brandon Flowers electrifies the audience while belting out hits and gripping a microphone with intense focus amidst the stunning lighting and stage set-up.
BLIP-2 Description:
a man in a black suit singing into a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities urban rock plant singing leisure brandon music eos stage arts microphone performing solo musician apple ml flowers entertainer tennis performance art negative coachella ball rekognition_c performer sport camping musical instrument recreation april spring canon lighting device part tennis ball concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/3.5
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2009-04-18T23:10:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.33%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.54%)
harmonious color
(8.18%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(37.82%)
intrusive object presence
(-11.23%)
lively color
(-36.91%)
low light
(97.71%)
noise
(-4.39%)
pleasant camera tilt
(1.54%)
pleasant composition
(9.25%)
pleasant lighting
(-7.99%)
pleasant pattern
(24.10%)
pleasant perspective
(7.71%)
pleasant post processing
(-34.38%)
pleasant reflection
(0.60%)
pleasant symmetry
(1.37%)
sharply focused subject
(6.59%)
tastefully blurred
(42.63%)
well chosen subject
(-1.62%)
well framed subject
(59.81%)
well timed shot
(22.49%)
all
(3.46%)
* 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.