Photos | A Feast Fit for a King at Blue Heron Beach Resort

At the heart of every memorable gathering is the joy of a shared meal. Here, a man savors a robust piece of meat, showcasing the delights of dining moments at the Blue Heron Beach Resort in Orlando, Florida. This exquisite picture, taken on March 26, 2024, adds a touch of conviviality to our March Randoms album, with the warmth of our dining room inviting guests to experience the magic of communal dining for themselves.
BLIP-2 Description:
a man sitting at a table with a large piece of meatMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table glass cafeteria spoon tableware arch urban plant building fence meal food window lake bryan shoppes portrait chair flower pub beverage dish arrangement lamp area purple living dinner restaurant furniture utensil ice court icing eating drinking dessert knife diner birthday randoms cream indoors lunch glasses tabletop dining sweets bread fork table room accessories blade international couch cafe cake plate potted photography sword cup march weapon drive
iso
1000
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
28.37
longitude
-81.5
shutter speed
1/40s
camera make
Apple
camera model
date
2024-03-26T21:29:16.355000-04:00
tzoffset
-14400
tzname
GMT-0400
overall
(38.13%)
curation
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behavioral
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harmonious color
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immersiveness
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interaction
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interesting subject
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intrusive object presence
(-9.45%)
lively color
(-34.08%)
low light
(20.83%)
noise
(-14.99%)
pleasant camera tilt
(-6.41%)
pleasant composition
(-48.19%)
pleasant lighting
(-38.53%)
pleasant pattern
(6.93%)
pleasant perspective
(0.22%)
pleasant post processing
(-6.22%)
pleasant reflection
(-0.03%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.63%)
tastefully blurred
(-16.96%)
well chosen subject
(-37.48%)
well framed subject
(9.29%)
well timed shot
(-0.79%)
all
(-6.57%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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,
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