Photos | Musical Mayhem at NAMM Convention Hall
Matthew Tuck, Eddie Ojeda, and Liu Gaoyang rock out amidst a crowd of instruments, furniture, and flora at the 2009 NAMM convention.
BLIP-2 Description:
a large convention hall with people and musical instrumentsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
cafeteria supermarket und urban namm plant chair sie footwear lamp transportation crowd restaurant furniture eddie matthew tuck bag shoe liu gaoyang ovation grocery hardware glasses indoors shadow pc banner sign electronics car vehicle screen ojeda accessories musical monitor instrument store market bazaar percussion lighting laptop show computer shop handbag drum
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2009-01-16T15:47:46.390000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.23%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.37%)
harmonious color
(-0.26%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-34.45%)
intrusive object presence
(-7.50%)
lively color
(-12.04%)
low light
(45.70%)
noise
(-3.10%)
pleasant camera tilt
(-9.06%)
pleasant composition
(-81.45%)
pleasant lighting
(-24.54%)
pleasant pattern
(8.15%)
pleasant perspective
(7.27%)
pleasant post processing
(3.49%)
pleasant reflection
(-0.13%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.27%)
tastefully blurred
(-15.10%)
well chosen subject
(0.80%)
well framed subject
(-56.05%)
well timed shot
(3.34%)
all
(-3.64%)
* 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.