Photos | Kodak Booth at the 2012 Nikon Exhibition
James Biberi stands among the bustling crowd at the Kodak booth, featuring a wide array of accessories, handbags, and footwear at the 2012 Nikon exhibition.
BLIP-2 Description:
kodak booth at the 2012 nikon nikon booth at the 2012 nikChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture pants urban building food overcoat gallery footwear tron luggage hat crowd restaurant flooring customizable court container bag shoe city mall art pma hardware expandable camera coat glasses indoors airport banner sign electronics backpack james biberi scalable screen logo accessories shopping monitor high heel market walking lighting nikon terminal floor advertisement computer shop handbag
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2008-02-01T13:00:11-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(37.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.37%)
harmonious color
(3.13%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-43.87%)
intrusive object presence
(-7.23%)
lively color
(-8.61%)
low light
(97.56%)
noise
(-3.96%)
pleasant camera tilt
(-8.33%)
pleasant composition
(-86.72%)
pleasant lighting
(-35.01%)
pleasant pattern
(8.18%)
pleasant perspective
(-6.56%)
pleasant post processing
(3.17%)
pleasant reflection
(1.41%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.22%)
tastefully blurred
(-11.69%)
well chosen subject
(-5.43%)
well framed subject
(-70.07%)
well timed shot
(-1.50%)
all
(-6.30%)
* 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.