Photos | December Swing Time by the Waterfront
Captured on a chilly December day in 2023, this heartwarming scene underlines the joy of family outings. In their stylish hats, coat, and jacket, a woman and her child bring an incredible warmth to the cold outdoors. Their smiles are as radiant as the water glistening behind them, showcasing a tranquil waterfront where a canoe lies idle. Their happiness evokes a sentiment we often long for in the heart of winter - warmth, love and togetherness.
BLIP-2 Description:
a woman and a child sitting on a swingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
jacket knitwear cap machine wheel outdoors beanie activities weapon baby wesley vehicle canoeing lori waterfront happy boat shoe transportation accessories equipment photography knife sport pants december sunglasses optical glasses random footwear lake rowboat rocks water canoe sports portrait blade sweater headgear leisure hat smile fence dagger nature coat
iso
50
metering mode
5
aperture
f/2.8
focal length
16mm
latitude
37.54
longitude
-119.92
shutter speed
1/114s
camera make
Apple
camera model
date
2023-12-28T14:00:36.248000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(66.99%)
curation
(69.03%)
highlight visibility
(82.30%)
behavioral
(90.89%)
failure
(-0.07%)
harmonious color
(8.06%)
immersiveness
(0.37%)
interaction
(4.00%)
interesting subject
(60.84%)
intrusive object presence
(-7.86%)
lively color
(11.27%)
low light
(0.44%)
noise
(-0.90%)
pleasant camera tilt
(0.04%)
pleasant composition
(-14.60%)
pleasant lighting
(38.01%)
pleasant pattern
(2.61%)
pleasant perspective
(13.62%)
pleasant post processing
(4.07%)
pleasant reflection
(0.32%)
pleasant symmetry
(0.78%)
sharply focused subject
(19.31%)
tastefully blurred
(15.45%)
well chosen subject
(-12.43%)
well framed subject
(55.42%)
well timed shot
(26.59%)
all
(14.03%)
* 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.