Photos | A Cozy Winter’s Day by the Waterfront

Relish in the warmth of a mother's love and the simplicity of joyful baby smiles. Bundled up in winter clothes, hats and sunglasses, their happiness shines brighter than the December sun reflecting off the nearby boats. These precious, fleeting moments of leisurely canoeing and watching the world go by on the waterfront are the ones we cherish most. Captured on December 28, 2023, this picture takes you back to a day filled with nothing but love and laughter.
BLIP-2 Description:
a woman and a baby sitting on a benchMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
jacket knitwear cap outdoors beanie activities glove baby wesley vehicle canoeing jeans waterfront happy lori part boat shoe transportation accessories equipment photography baseball patagonia pants sport december sunglasses optical glasses random footwear mouth rowboat canoe water sports portrait sweater bonnet hood headgear leisure hat smile teeth coat
Detected Text
iso
50
metering mode
5
aperture
f/2.8
focal length
16mm
latitude
37.54
longitude
-119.92
shutter speed
1/124s
camera make
Apple
camera model
date
2023-12-28T14:01:28.433000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(76.90%)
curation
(71.43%)
highlight visibility
(82.48%)
behavioral
(90.77%)
failure
(-0.05%)
harmonious color
(11.33%)
immersiveness
(0.27%)
interaction
(4.00%)
interesting subject
(82.28%)
intrusive object presence
(-5.40%)
lively color
(18.55%)
low light
(2.27%)
noise
(-0.83%)
pleasant camera tilt
(4.26%)
pleasant composition
(35.03%)
pleasant lighting
(42.02%)
pleasant pattern
(3.44%)
pleasant perspective
(14.29%)
pleasant post processing
(3.37%)
pleasant reflection
(1.18%)
pleasant symmetry
(1.10%)
sharply focused subject
(45.95%)
tastefully blurred
(16.75%)
well chosen subject
(6.92%)
well framed subject
(81.84%)
well timed shot
(17.21%)
all
(21.32%)
* 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.