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:
car interior vehicle indoors backpack footwear computer shop lamp urban market carey mercer gner store glasses sign hat matchless cd 嗯 virgil donati handbag crowd hardware interior shop grocery supermarket ound transportation screen bazaar electronics namm banner room monitor bag shoe accessories show
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
(70.42%)
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.