Photos | Musical Madness at NAMM Convention
Meg Foster wades through the sea of attendees checking out the latest guitars, accessories, and electronic devices at the 2008 NAMM Convention.
BLIP-2 Description:
a crowd of people at a conventionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
meg foster pen intent boy urban namm ob mobile child footwear beat howe baby publication katen greg wristwatch microphone one whe fedex cornford bag shoe erience mience bookstore kinkos nichie comford guthrie glasses indoors poster airport govan pc january winter book en sign als electronics performer accessories best musical instrument handbag hercules amps laptop device phone guitar computer advertisement shop crowd electrical
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-01-20T13:56:51-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(38.13%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.58%)
failure
(-0.51%)
harmonious color
(0.10%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-24.41%)
intrusive object presence
(-10.60%)
lively color
(5.36%)
low light
(18.09%)
noise
(-1.07%)
pleasant camera tilt
(-6.40%)
pleasant composition
(-78.76%)
pleasant lighting
(-9.77%)
pleasant pattern
(5.57%)
pleasant perspective
(-1.89%)
pleasant post processing
(3.53%)
pleasant reflection
(3.69%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.63%)
tastefully blurred
(-25.78%)
well chosen subject
(-6.74%)
well framed subject
(-54.83%)
well timed shot
(-7.12%)
all
(-3.01%)
* 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.