Photos | Savoring Serenity: A Maritime Meal in Belvedere Tiburon.
A slice of California living: A candid snap from November 2023 of an intimate seaside lunch. Pictured is Wesley soaking in the tranquil vista of the Belvedere Tiburon waterfront. The azure sky and water complement the warmth shared between the woman and the child, accentuating the depth of their bond over a beautiful midday meal.
BLIP-2 Description:
a woman and child sitting at a table on a dockMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban glasses cutlery diner port food cafeteria potted chair harbor nature cafe cup sunglasses meal accessories dining sitting cap art boat sea coffee wood portrait restaurant tiburon ice randoms court path sky spoon housing plywood table building outdoors desk porcelain dessert pier dish plant downtown summer photography headgear indoors november transportation cream container juice yacht lunch marina pottery neighborhood boy tabletop architecture blue wesley furniture street child outdoor water sun waterfront icing city fork room road vehicle beverage hat bottle sailboat shelter
Detected Text
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.87
longitude
-122.46
shutter speed
1/1976s
camera make
Apple
camera model
overall
(39.89%)
curation
(65.79%)
highlight visibility
(5.72%)
behavioral
(90.88%)
failure
(-0.20%)
harmonious color
(1.67%)
immersiveness
(0.44%)
interaction
(4.00%)
interesting subject
(-32.76%)
intrusive object presence
(-17.48%)
lively color
(21.34%)
low light
(3.17%)
noise
(-1.46%)
pleasant camera tilt
(-6.26%)
pleasant composition
(-56.79%)
pleasant lighting
(-11.24%)
pleasant pattern
(14.40%)
pleasant perspective
(-5.69%)
pleasant post processing
(1.43%)
pleasant reflection
(-0.74%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.71%)
tastefully blurred
(5.31%)
well chosen subject
(-39.21%)
well framed subject
(-14.31%)
well timed shot
(1.19%)
all
(-1.33%)
* 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.