Photos | Golden Moment at Hog Island Oyster Co

Dave B. and Lori S. embracing the enchanting sunset hues at the Hog Island Oyster Co. Their radiant smiles, stylish accessories, and comfortable knitwear tell a story of a day filled with joy, laughter, and camaraderie. The serene beauty of Marshall, California, serves as a remarkable backdrop to this stunning portrait, reminding us that the connection with nature is irreplaceable. Snapshot captured on November 8, 2023, marking yet another beautiful day spent well amidst the mesmerizing coast.
BLIP-2 Description:
a man and woman are posing for a photo at sunsetMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
sweatshirt sunset selfie lori s optical hoodie plant outstanding portrait chair beach oyster sweater cap equipment outdoors sea wristwatch hat field furniture jacket outdoor sky co eyeglasses land island scarf sun hog dave coat glasses water nature sunglasses grass accessories coast shoreline photography smile happy sunrise crowd knitwear
iso
100
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
38.16
longitude
-122.89
shutter speed
1/145s
camera make
Apple
camera model
date
2023-11-08T16:55:38.385000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(69.09%)
curation
(71.44%)
highlight visibility
(6.15%)
behavioral
(90.92%)
failure
(-0.15%)
harmonious color
(9.02%)
immersiveness
(0.42%)
interaction
(12.00%)
interesting subject
(64.50%)
intrusive object presence
(-1.59%)
lively color
(19.06%)
low light
(6.35%)
noise
(-1.61%)
pleasant camera tilt
(1.08%)
pleasant composition
(16.52%)
pleasant lighting
(12.71%)
pleasant pattern
(8.64%)
pleasant perspective
(-3.63%)
pleasant post processing
(11.29%)
pleasant reflection
(-5.71%)
pleasant symmetry
(0.51%)
sharply focused subject
(32.13%)
tastefully blurred
(39.97%)
well chosen subject
(31.45%)
well framed subject
(64.40%)
well timed shot
(11.54%)
all
(14.96%)
* 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.