Photos | Alfresco Dining Delight in the California Countryside
From our memorable 2023 food adventure at Hog Island Oyster Co, Marshall, California, where food and nature gracefully met. Captured in this picture are 12 of us, including Dave B and Lori S, seated around a long table set amidst the scenic fields. Savoring delicious food under 4 hats, the joy of the meal was only excelled by the rustic elegance of the surroundings. A unique brunch experience turned into an unforgettable day, richly steeped in laughter, nature, and captivating conversations.
BLIP-2 Description:
a group of people sitting at a long table in the middle of a fieldMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
countryside brunch phone plate party glasses restaurant cutlery outdoor dave mobile dinner co supper hall jacket interior food necklace farm oyster jewelry fork table hog lunch tableware outdoors electronics nature outstanding field room dish island rural eating cup beverage lori s tabletop hat meal utensil furniture fun alcohol accessories dining headgear indoors vineyard
iso
64
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
38.16
longitude
-122.89
shutter speed
1/121s
camera make
Apple
camera model
overall
(42.75%)
curation
(68.55%)
highlight visibility
(5.93%)
behavioral
(90.90%)
failure
(-0.07%)
harmonious color
(3.16%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(15.03%)
intrusive object presence
(-17.53%)
lively color
(1.16%)
low light
(4.20%)
noise
(-4.39%)
pleasant camera tilt
(-1.80%)
pleasant composition
(-75.54%)
pleasant lighting
(-2.71%)
pleasant pattern
(2.69%)
pleasant perspective
(2.60%)
pleasant post processing
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pleasant reflection
(-0.19%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.59%)
tastefully blurred
(2.99%)
well chosen subject
(-24.62%)
well framed subject
(-20.29%)
well timed shot
(7.18%)
all
(-1.50%)
* 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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