Photos | Exhibit Hall at PMA Trade Show

Christian Cantwell and 23 other attendees gather inside the brightly lit hall filled with electronics, furniture, and accessories. The decorative plants and modern flooring add to the urban feel of the shopping mall-like setting.
BLIP-2 Description:
a large exhibit hall with people standing aroundMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urplace tie formal urban plant chair gallery footwear eos decorative furniture flooring design bag shoe city lan mall art bench pma glove definition hardware camera christian cantwell glasses indoors aisle wireless winter interior wear electronics february sign screen lumix panasonic accessories shopping monitor high walking canon lighting terminal floor computer shop handbag
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2008-02-01T13:01:15-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(38.96%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.29%)
harmonious color
(0.40%)
immersiveness
(1.17%)
interaction
(1.00%)
interesting subject
(-41.55%)
intrusive object presence
(-6.84%)
lively color
(-14.95%)
low light
(90.77%)
noise
(-2.98%)
pleasant camera tilt
(-12.04%)
pleasant composition
(-74.07%)
pleasant lighting
(-31.98%)
pleasant pattern
(3.81%)
pleasant perspective
(2.09%)
pleasant post processing
(-0.07%)
pleasant reflection
(-2.15%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.20%)
tastefully blurred
(-7.09%)
well chosen subject
(12.10%)
well framed subject
(-57.28%)
well timed shot
(2.92%)
all
(-4.39%)
* 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.