Photos | DJ Dan Mixing It Up
DJ Dan gets in the zone as he sits in front of his computer, surrounded by screens, speakers, and musical equipment. His signature baseball hat and necklace add a personal touch to his stylish black shirt and wristwatch.
BLIP-2 Description:
a man in a black shirt sitting in front of a computerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities headgear necklace playing leisure baseball music speaker keyboard cap dan keyboards musical instrument wristwatch hat musician studio entertainer performance dj_dan_q_uberzone hardware indoors deejay rekognition_c electronics jewelry screen performer accessories room monitor musical instrument recreation uberzone speakers q cup computer dj piano
flash fired
true
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2010-03-16T11:40:20.840000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(51.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.49%)
harmonious color
(0.70%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(5.21%)
intrusive object presence
(-6.03%)
lively color
(14.56%)
low light
(78.76%)
noise
(-4.66%)
pleasant camera tilt
(-3.74%)
pleasant composition
(-6.94%)
pleasant lighting
(-13.23%)
pleasant pattern
(7.01%)
pleasant perspective
(-0.50%)
pleasant post processing
(7.05%)
pleasant reflection
(0.38%)
pleasant symmetry
(0.49%)
sharply focused subject
(7.76%)
tastefully blurred
(11.80%)
well chosen subject
(-26.81%)
well framed subject
(52.98%)
well timed shot
(-2.76%)
all
(3.89%)
* 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.