Photos | The Thrilling Convention Crowd
Virgil Donati and Carey Mercer addressing a massive gathering at the 2009 NAMM event. The indoor room is filled with 54 enthusiastic people, creating a lively atmosphere that's hard to beat. The event banner and signs add to the excitement, making it a memorable experience for all.
BLIP-2 Description:
a large crowd of people at a conventionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
supermarket urban namm cd footwear matchless lamp transportation hat virgil donati crowd gner bag shoe 嗯 mercer grocery hardware glasses indoors interior shop interior banner sign electronics backpack vehicle screen car accessories room monitor store market bazaar carey ound show computer shop handbag
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2009-01-16T15:47:06.780000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.43%)
failure
(-0.29%)
harmonious color
(-5.79%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-33.81%)
intrusive object presence
(-6.69%)
lively color
(-4.51%)
low light
(76.56%)
noise
(-3.39%)
pleasant camera tilt
(-14.84%)
pleasant composition
(-81.54%)
pleasant lighting
(-35.52%)
pleasant pattern
(9.11%)
pleasant perspective
(-8.69%)
pleasant post processing
(-0.02%)
pleasant reflection
(-1.87%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.22%)
tastefully blurred
(-5.37%)
well chosen subject
(-3.22%)
well framed subject
(-64.06%)
well timed shot
(0.23%)
all
(-7.23%)
* 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.