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:
urban plant portrait chair dish porcelain text coffee icing randoms cream glasses lunch harbor downtown photography shelter architecture summer food cap beverage transportation restaurant road outdoor ice city swimwear street indoors tabletop waterfront vehicle fork table pier cloudy cutlery dining table marina headgear neighborhood baseball meal child plywood dinner furniture sky wood art dessert sculpture dining water path sunglasses room juice cafe tiburon potted cup credit card cafeteria boy spoon tableware port statue optical building equipment outdoors november hat utensil court container pottery yacht sitting diner metropolis nature accessories wesley
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.