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:
architecture cutlery summer watercraft port tableware sailboat building meal baseball portrait food child baby beverage plywood cap outdoors transportation hat wristwatch shaker porch boardwalk restaurant furniture outdoor house utensil deck boat sky wood city pole coffee machine shirt glasses indoors water lunch shorts dining waterfront lifejacket sunglasses rekognition_c vehicle table accessories lori bridge juice vest harbor housing tiburon photography mast wesley cup pier bottle
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.