Photos | Excitement in the Air Caption: LP attends the 2009 NAMM Convention, surrounded by a lively crowd of over 40 people carrying bags, backpacks, and handbags, as well as signs and banners promoting the latest in electronics and computer hardware.
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BLIP-2 Description:
a crowd of people at a conventionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
bracelet activities boy necklace urban namm leisure thane mobile speaker footwear child auto racing pr l.p. transportation hat luggage offroad crowd purse nadi container pm bag shoe hardware glasses indoors poster race proel banner sign electronics backpack jewelry screen vehicle rally car sport accessories adventure monitor part phone back advertisement computer handbag p
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2009-01-16T15:41:29.610000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-0.29%)
harmonious color
(-2.24%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-32.59%)
intrusive object presence
(-16.85%)
lively color
(-4.24%)
low light
(31.10%)
noise
(-3.56%)
pleasant camera tilt
(-11.49%)
pleasant composition
(-86.91%)
pleasant lighting
(-33.11%)
pleasant pattern
(5.44%)
pleasant perspective
(-6.96%)
pleasant post processing
(2.81%)
pleasant reflection
(-3.13%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.34%)
tastefully blurred
(-7.46%)
well chosen subject
(-12.59%)
well framed subject
(-56.40%)
well timed shot
(1.14%)
all
(-6.97%)
* 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.