Photos | A Tender Yuletide Moment in Japan Town Skyela

A vibrant snapshot captured on December 22, 2023. Captivating and heartwarming, this portrait embodies warmth and familiar joy as a mother and her two children, clad in winter outfits, share a happy moment in front of a radiant Christmas tree in their cozy living room at Japan Town Skyela. The glowing lights, the intimate home decor, and the infectious smiles make this a perfect festive memory.
BLIP-2 Description:
a woman and two children standing in front of a christmas treeMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
lighting knitwear jacket machine cap room urban furniture decor potted floor glove hardwood baby wesley vehicle jeans lori lamp happy home plant tree teen shopping girl indoors wood accessories bag photography pants glasses footwear building architecture japan christmas tree skyela b portrait sweater rug coat standing flooring costume handbag skyela living stroller rekognition_c christmas headgear town hat smile decoration scarf shoe
iso
40000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-12-22T18:00:28.170000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(47.71%)
curation
(71.54%)
highlight visibility
(6.15%)
behavioral
(90.83%)
failure
(-0.17%)
harmonious color
(2.10%)
immersiveness
(0.39%)
interaction
(2.00%)
interesting subject
(67.38%)
intrusive object presence
(-7.67%)
lively color
(-43.07%)
low light
(9.89%)
noise
(-1.95%)
pleasant camera tilt
(-2.32%)
pleasant composition
(-10.80%)
pleasant lighting
(-15.61%)
pleasant pattern
(2.83%)
pleasant perspective
(13.38%)
pleasant post processing
(-6.35%)
pleasant reflection
(2.15%)
pleasant symmetry
(2.22%)
sharply focused subject
(1.61%)
tastefully blurred
(-10.79%)
well chosen subject
(-25.24%)
well framed subject
(62.50%)
well timed shot
(14.27%)
all
(1.35%)
* 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.