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:
lighting instrument urban apple ml activities negative device recreation part singing camping musician plant coachella performing performer rock performance sport tennis crowd solo singer musical brandon concert april music canon ball entertainer eos electrical rekognition_c flowers stage arts leisure art tennis ball microphone spring
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.