Photos | Serenity in Design: A Symphony of Modern Living
An everyday muse stands in front of a door amidst an impeccably designed room. This snapshot taken on January 7th, 2023, invites viewers into a carefully crafted sanctuary where form meets function, art mingles with everyday objects, and life blooms alongside lush indoor foliage. Be it the expressive paintings, the swivel chair nestled by the window, or the sleek electronics – each element tells a tale of contemporary living.
BLIP-2 Description:
a woman is standing in front of a door in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
february bedroom beauty machine room please speaker couch randoms furniture desk floor laptop consumer hardware screen armchair plant tv pc indoors window shelf chair building bed architecture foliage monitor package interior table painting computer flooring swivel living television rekognition_c dorm box book design door art hat publication salon center entertainment electronics wood
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2023-01-07T19:27:52.700000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.71%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.20%)
harmonious color
(3.60%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-80.22%)
intrusive object presence
(-9.18%)
lively color
(-17.26%)
low light
(3.88%)
noise
(-0.39%)
pleasant camera tilt
(-14.51%)
pleasant composition
(-92.63%)
pleasant lighting
(-40.33%)
pleasant pattern
(1.10%)
pleasant perspective
(-0.78%)
pleasant post processing
(4.32%)
pleasant reflection
(-6.36%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.36%)
well chosen subject
(4.33%)
well framed subject
(-56.20%)
well timed shot
(1.89%)
all
(-7.89%)
* 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.