Photos | A Gathering of Enthusiasts at the 2009 NAMM Show
Jacob Young joins thirty-three other people to admire the latest in consumer electronics, furniture, and musical instruments at a crowded display.
BLIP-2 Description:
a large group of people standing around a large exhibitChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting inc instrument machine urban furniture namm consumer device screen lamp market wristwatch indoors bag accessories sign panyard belt chair daniels glasses exhibits footwear show building jack crowd airport architecture musical banner jacob shop 留 table shorts electrical handbag bazaar rekognition_c factory stage advertisement young hat microphone exhibi electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2009-01-16T15:33:11.610000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(30.66%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.20%)
harmonious color
(-1.64%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-39.72%)
intrusive object presence
(-7.86%)
lively color
(-14.69%)
low light
(78.42%)
noise
(-2.93%)
pleasant camera tilt
(-12.68%)
pleasant composition
(-85.50%)
pleasant lighting
(-46.75%)
pleasant pattern
(3.93%)
pleasant perspective
(-5.89%)
pleasant post processing
(-1.24%)
pleasant reflection
(-1.67%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.17%)
tastefully blurred
(-7.45%)
well chosen subject
(-12.72%)
well framed subject
(-54.98%)
well timed shot
(2.90%)
all
(-8.96%)
* 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.