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
thane speaker urban namm container activities nadi hardware poster screen vehicle car part child adventure transportation back indoors bag accessories sign jewelry race sport pm glasses footwear p luggage crowd banner backpack monitor l.p. pr proel boy purse mobile phone offroad computer handbag rally bracelet auto racing advertisement leisure hat electronics necklace shoe
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.