Photos | A Memorable Feast in the Countryside

A captivating moment from the Outstanding in the Field event at Hog Island Oyster Co, on November 8, 2023. Surrounded by the natural beauty of Marshall, California, friends Lori S, and Dave B, along with other companions, bask in warmth of the setting sun. Captured here, the effervescent scenery perfectly complements the joy of good food and priceless fellowship.
BLIP-2 Description:
a group of people sitting at a table with foodMetadata
Capture date:
Original Dimensions:
5712w x 4284h - (download 4k)
Usage
Dominant Color:
Location:
room drinking outdoors furniture countryside dining bread tabletop dave lori s fun sky glass rural wristwatch beverage accessories indoors ring photography equipment lunch outdoor jewelry brunch sunglasses plate optical glasses building architecture necklace co food utensil oyster party portrait table tour dinner mobile outstanding phone alcohol cup meal restaurant hog farm sunset wine land supper island hat vineyard nature electronics tableware field
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
38.16
longitude
-122.89
shutter speed
1/168s
camera make
Apple
camera model
date
2023-11-08T16:55:03.819000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(50.73%)
curation
(71.13%)
highlight visibility
(6.12%)
behavioral
(90.91%)
failure
(-0.07%)
harmonious color
(3.43%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(44.36%)
intrusive object presence
(-11.23%)
lively color
(-11.33%)
low light
(1.03%)
noise
(-3.78%)
pleasant camera tilt
(-1.45%)
pleasant composition
(-58.59%)
pleasant lighting
(-3.54%)
pleasant pattern
(2.15%)
pleasant perspective
(9.74%)
pleasant post processing
(-0.10%)
pleasant reflection
(-1.47%)
pleasant symmetry
(0.32%)
sharply focused subject
(1.98%)
tastefully blurred
(7.79%)
well chosen subject
(-16.69%)
well framed subject
(27.42%)
well timed shot
(32.37%)
all
(2.68%)
* 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,
just reach out.