Photos | Harvest Brunch Delight at Hog Island Oyster Co.
As the sun gently sets over the vineyard in Marshall, California, a group of friends including Lori and Dave indulged in a delectable brunch at the Hog Island Oyster Company. The friendly banter, laughter, and clinks of glasses created a symphony of warmth punctuated by the idyllic countryside backdrop and the tantalizing food laid across the table. Truly an outstanding moment in the field from our 2023 album.
BLIP-2 Description:
a group of people sitting at a tableMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
phone brunch countryside plate party glasses restaurant portrait cutlery couch outdoor dave mobile dinner co sun diner leisure sky interior activities food equipment optical farm oyster fork picnic drinking table hog lunch building sunset tableware outdoors electronics linen nature decor outstanding glass field room dish island wine rural tour wristwatch beverage lori s tabletop architecture sunrise sunglasses hat meal utensil furniture fun alcohol accessories photography vineyard indoors dining home
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
(54.79%)
curation
(90.62%)
highlight visibility
(83.95%)
behavioral
(90.98%)
failure
(-0.07%)
harmonious color
(3.96%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(52.78%)
intrusive object presence
(-6.79%)
lively color
(-1.68%)
low light
(2.39%)
noise
(-2.64%)
pleasant camera tilt
(-2.40%)
pleasant composition
(-49.73%)
pleasant lighting
(5.38%)
pleasant pattern
(3.76%)
pleasant perspective
(8.18%)
pleasant post processing
(-2.42%)
pleasant reflection
(-4.26%)
pleasant symmetry
(0.32%)
sharply focused subject
(3.76%)
tastefully blurred
(8.72%)
well chosen subject
(-20.35%)
well framed subject
(27.05%)
well timed shot
(27.00%)
all
(4.10%)
* 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.