Photos | Behind the Mixing Desk

DJ Dan wearing his signature baseball hat works on his computer and controls the music from the recording studio mixing desk. Two paintings can be seen on the wall and multiple screens display the sound waves he is adjusting.
BLIP-2 Description:
a man sitting at a mixing desk in a recording studioMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities headgear necklace leisure baseball music speaker keyboard computer monitor dan wristwatch hat musician furniture studio dj_dan_q_uberzone art hardware machine indoors pc rekognition_c electronics jewelry screen performer accessories room monitor musical instrument uberzone laptop q center tv entertainment cup computer dj playing keyboards painting piano consumer
flash fired
true
iso
1600
metering mode
5
aperture
f/2.8
focal length
25mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2010-03-16T11:42:13.030000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.57%)
failure
(-0.15%)
harmonious color
(3.08%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(22.42%)
intrusive object presence
(-9.67%)
lively color
(-3.67%)
low light
(38.48%)
noise
(-1.03%)
pleasant camera tilt
(-6.90%)
pleasant composition
(-29.39%)
pleasant lighting
(-7.14%)
pleasant pattern
(8.50%)
pleasant perspective
(15.41%)
pleasant post processing
(0.59%)
pleasant reflection
(-0.85%)
pleasant symmetry
(1.10%)
sharply focused subject
(1.83%)
tastefully blurred
(-1.48%)
well chosen subject
(-9.78%)
well framed subject
(35.13%)
well timed shot
(7.74%)
all
(3.58%)
* 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.