Photos | Maritime Moments: Unforgettable Tiburon 2023

Serene Family Time: A heartwarming snapshot of a mother and child enjoying a sunny outdoor meal at Tiburon's famed waterfront, perfectly capturing the essence of summer in 2023. Complemented by the backdrop of a sailboat gently bobbing in the harbor, this moment encapsulates peace, togetherness and the simple joy of dockside dining.
BLIP-2 Description:
a woman and child sitting at a table with a boat in the backgroundMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
housing machine cap tiburon outdoors city furniture boardwalk dining harbor baby wesley vehicle lori waterfront sky juice child boat transportation summer wristwatch beverage accessories indoors shirt photography baseball outdoor lunch sailboat sunglasses bottle glasses building architecture shaker food lifejacket utensil water deck portrait table shorts mast cutlery watercraft cup restaurant bridge plywood meal vest port pole house rekognition_c coffee hat pier porch tableware wood
iso
100
metering mode
5
aperture
f/4
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2023-08-06T14:06:49.477000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(62.65%)
curation
(68.49%)
highlight visibility
(5.92%)
behavioral
(90.84%)
failure
(-0.05%)
harmonious color
(4.71%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(37.38%)
intrusive object presence
(-10.21%)
lively color
(2.50%)
low light
(2.66%)
noise
(-0.83%)
pleasant camera tilt
(-1.86%)
pleasant composition
(-18.19%)
pleasant lighting
(3.47%)
pleasant pattern
(5.74%)
pleasant perspective
(10.63%)
pleasant post processing
(5.30%)
pleasant reflection
(-2.13%)
pleasant symmetry
(0.78%)
sharply focused subject
(10.21%)
tastefully blurred
(35.60%)
well chosen subject
(-23.46%)
well framed subject
(65.87%)
well timed shot
(17.97%)
all
(7.71%)
* 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.