Photos | A Warm Interlude in Belvedere Tiburon

Caught in a nostalgic moment, a woman and a child share stories over a cup of coffee. The backdrop of Belvedere Tiburon adds an element of charm to this unscripted portrait.
BLIP-2 Description:
a woman and child sitting at a table with a cup of coffeeMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
tiburon photography cafeteria table sitting city statue path utensil building portrait meal porcelain water sunglasses wesley spoon outdoor icing art plywood indoors accessories beverage credit card coffee outdoors yacht container child summer urban dining diner november chair glasses hat juice marina optical architecture baseball dessert wood transportation tabletop cutlery waterfront vehicle potted cafe pottery plant randoms furniture road port equipment text cup nature headgear shelter boy metropolis court room neighborhood dish dinner harbor restaurant food pier cream sculpture swimwear cloudy downtown street dining table sky fork lunch tableware cap ice
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.87
longitude
-122.46
shutter speed
1/1600s
camera make
Apple
camera model
date
2023-11-19T10:30:27.950000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(36.99%)
curation
(65.88%)
highlight visibility
(5.72%)
behavioral
(90.92%)
failure
(-0.24%)
harmonious color
(1.34%)
immersiveness
(0.37%)
interaction
(4.00%)
interesting subject
(-32.89%)
intrusive object presence
(-23.54%)
lively color
(19.60%)
low light
(3.25%)
noise
(-1.88%)
pleasant camera tilt
(-7.11%)
pleasant composition
(-67.09%)
pleasant lighting
(-9.60%)
pleasant pattern
(11.25%)
pleasant perspective
(-8.40%)
pleasant post processing
(-0.05%)
pleasant reflection
(-2.08%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.66%)
tastefully blurred
(4.90%)
well chosen subject
(-47.17%)
well framed subject
(-18.55%)
well timed shot
(-4.32%)
all
(-3.56%)
* 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.