Photos | The Guests Indulge in a Lavish Spread
A group of twenty people are seen enjoying a sumptuous meal at a restaurant during the Wickstrom wedding. The interior of the room is beautifully decorated with flowers, plants, and lamps, adding to the overall ambiance. The crowd comprises six adults, including four men and two women, and two babies. The tables are arranged with elegant linen, and the chairs complement the wooden décor. The food court offers a variety of beverages and alcohol, making it a perfect setting for a reception or seminar.
BLIP-2 Description:
a group of people sitting at tables in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
reception cafeteria formal wickstrom_wedding plant pub food chair flower bar flower bouquet lecture baby beverage arrangement wedding lamp hat restaurant furniture counter design court wood waiting room wickstrom desk alcohol indoors audience interior wear suit table room lighting home seminar decor dress crowd linen
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-10-29T19:20:06.920000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.03%)
curation
(65.11%)
highlight visibility
(5.51%)
behavioral
(70.48%)
failure
(-16.67%)
harmonious color
(1.46%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-41.28%)
intrusive object presence
(-5.91%)
lively color
(-34.40%)
low light
(76.76%)
noise
(-10.47%)
pleasant camera tilt
(-7.31%)
pleasant composition
(-83.06%)
pleasant lighting
(-56.20%)
pleasant pattern
(2.20%)
pleasant perspective
(5.02%)
pleasant post processing
(5.15%)
pleasant reflection
(-2.73%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.15%)
tastefully blurred
(-85.55%)
well chosen subject
(-0.35%)
well framed subject
(-53.56%)
well timed shot
(-14.82%)
all
(-11.53%)
* 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.