Photos | Kenny Ken rocks the House at Club Urban
DJ Kenny Ken entertains a packed crowd with his music mixing skills, while the party-goers dance under the spotlight and colorful lights, creating an unforgettable night at Club Urban.
BLIP-2 Description:
a dj mixing at a party with a crowd of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
machine one speaker room urban ken hardware recreation jeans screen fun teen deejay spotlight girl wristwatch accessories masafumi gotoh night club jewelry performance night glasses footwear crowd musical instrument club monitor audience music party interior light kenny nightclub entertainer computer speakers life bracelet hat headphones electronics necklace shoe
Detected Text
iso
1600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2007-09-13T00:08:56-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.15%)
curation
(65.59%)
highlight visibility
(5.55%)
behavioral
(70.55%)
failure
(-0.20%)
harmonious color
(-0.17%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-33.72%)
intrusive object presence
(-23.56%)
lively color
(-10.46%)
low light
(16.06%)
noise
(-2.86%)
pleasant camera tilt
(-12.85%)
pleasant composition
(-91.11%)
pleasant lighting
(-30.86%)
pleasant pattern
(4.44%)
pleasant perspective
(-1.60%)
pleasant post processing
(2.44%)
pleasant reflection
(0.68%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.37%)
tastefully blurred
(-4.21%)
well chosen subject
(-12.01%)
well framed subject
(-59.18%)
well timed shot
(11.63%)
all
(-6.00%)
* 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.