Photos | Signing Contracts at the NAMM Convention
Peter Michael Escovedo, Sheila E., and Keiichi Yabu join a crowd of industry professionals to sign important papers at the 2009 NAMM Convention food court. The group sits comfortably around a table, wearing their best hats and clothing for the occasion.
BLIP-2 Description:
a group of people sitting at a table signing papersChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
cap furniture namm desk beanie laptop hardware wear sitting screen tie keiichi yabu teen sheila ver wristwatch pc court indoors winter accessories ring january bag formal baseball jewelry chair peter michael escovedo glasses library cafeteria crowd food monitor table boy pen restaurant computer plywood handbag headgear book ner hat publication electronics necklace wood
iso
1600
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-01-16T14:24:03.450000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.17%)
harmonious color
(-0.57%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-24.35%)
intrusive object presence
(-22.36%)
lively color
(-6.87%)
low light
(7.45%)
noise
(-1.07%)
pleasant camera tilt
(-10.84%)
pleasant composition
(-92.58%)
pleasant lighting
(-31.35%)
pleasant pattern
(2.95%)
pleasant perspective
(-10.10%)
pleasant post processing
(2.39%)
pleasant reflection
(0.30%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.20%)
tastefully blurred
(-11.25%)
well chosen subject
(-24.18%)
well framed subject
(-47.17%)
well timed shot
(-2.38%)
all
(-8.35%)
* 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.