Photos | Memorable Moments in Tiburon
On a sunny afternoon in August 2023, a wonderful moment was captured in Tiburon featuring a woman and a child engaging in a blissful outdoor dining experience. This picture perfectly encapsulates the essence of a carefree summer day, complete with an array of beverages and utensils, and a backdrop of breathtaking oceanfront scenery. The clothing and accessories add an extra layer of charm to this heartwarming scene, making it a picture that is remembered fondly.
BLIP-2 Description:
a woman and a child sitting at a tableMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
rekognition_c 然 flooring coffee wood disposable tiburon child baby portrait glasses outdoor water cutlery transportation house cream ice shirt porch sky shorts food spoon floor fence container waterfront housing bridge juice restaurant plywood car fork table building lunch lori tin dessert shaker deck hardwood cup wristwatch beverage vehicle architecture baseball hat meal beer bottle wesley furniture alcohol accessories photography headgear indoors dining jar cap boardwalk part
iso
100
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(38.99%)
curation
(68.68%)
highlight visibility
(5.94%)
behavioral
(90.96%)
failure
(-0.15%)
harmonious color
(-0.81%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-22.73%)
intrusive object presence
(-11.94%)
lively color
(-6.29%)
low light
(4.79%)
noise
(-1.81%)
pleasant camera tilt
(-7.07%)
pleasant composition
(-68.90%)
pleasant lighting
(-28.17%)
pleasant pattern
(4.03%)
pleasant perspective
(-3.25%)
pleasant post processing
(-1.25%)
pleasant reflection
(-4.32%)
pleasant symmetry
(0.56%)
sharply focused subject
(2.37%)
tastefully blurred
(1.10%)
well chosen subject
(-38.18%)
well framed subject
(24.98%)
well timed shot
(12.77%)
all
(-4.82%)
* 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.