Photos | Rustic Field Side Feast at Hog Island Oyster Co.

On a crisp afternoon in Marshall, California (Nov. 8, 2023), a convivial group of 14 individuals, including Dave B and Lori S, gather around a long table amidst the stunning countryside foliage. Oversized sun hats, elegant clothing, and twinkling jewelry complement the warm, rustic charm of the event, as this merry crowd indulges in a fantastic spread. The unique combination of an outdoor setting with the indoor decor and dining table beautifully blurs the line between the comfort of home and the freedom of nature. Celebrating food and friendship, this is more than a meal — it's a feast for the senses.
BLIP-2 Description:
a group of people sitting at a long table in a fieldMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
fork buffet couch room outdoors furniture countryside dining tabletop dave device lori s fun glass linen court rural indoors accessories beverage equipment hammer lunch jewelry sun brunch dish sunglasses plate optical glasses building cafeteria architecture necklace co food home decor utensil oyster party table dinner cutlery outstanding alcohol restaurant meal hog tool farm headgear supper island hat vineyard nature tableware field
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
date
2023-11-08T16:56:43.311000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(52.00%)
curation
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highlight visibility
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behavioral
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(-0.07%)
harmonious color
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interesting subject
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intrusive object presence
(-11.04%)
lively color
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low light
(1.17%)
noise
(-3.93%)
pleasant camera tilt
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pleasant composition
(-48.97%)
pleasant lighting
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pleasant pattern
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pleasant perspective
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pleasant post processing
(0.56%)
pleasant reflection
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sharply focused subject
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tastefully blurred
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well chosen subject
(-21.41%)
well framed subject
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well timed shot
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all
(4.21%)
* 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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