Photos | Gourmet Gathering at Hog Island Oyster Co, 2023
This memorable shot features a cheerful crowd – including known faces like Dave B and Lori S – gathered around a long dining table filled with delicious food, during a late afternoon at the famed Hog Island Oyster Co., Marshall, California. Celebrations were in tune with the golden hues of sunset, the clink of wine glasses, and endless laughter - creating a picturesque medley of warmth, fun, and camaraderie.
BLIP-2 Description:
a group of people sitting at a long table with foodMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
countryside brunch phone plate ring portrait glasses restaurant party couch outdoor dave mobile dinner co diner sun leisure sky activities food necklace equipment optical farm oyster jewelry picnic drinking table hog lunch building sunset tableware outdoors electronics nature outstanding glass field room dish island wine rural tour beverage lori s tabletop architecture sunrise hat sunglasses meal utensil furniture fun alcohol accessories photography headgear indoors vineyard dining crowd land
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
(57.28%)
curation
(68.34%)
highlight visibility
(5.91%)
behavioral
(90.98%)
failure
(-0.07%)
harmonious color
(7.32%)
immersiveness
(0.17%)
interaction
(2.00%)
interesting subject
(59.81%)
intrusive object presence
(-11.72%)
lively color
(-3.85%)
low light
(1.76%)
noise
(-4.13%)
pleasant camera tilt
(-2.16%)
pleasant composition
(-53.17%)
pleasant lighting
(5.85%)
pleasant pattern
(2.76%)
pleasant perspective
(18.95%)
pleasant post processing
(1.63%)
pleasant reflection
(-3.16%)
pleasant symmetry
(0.54%)
sharply focused subject
(2.69%)
tastefully blurred
(6.17%)
well chosen subject
(-14.28%)
well framed subject
(21.23%)
well timed shot
(35.38%)
all
(6.22%)
* 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.