Photos | Sunset Serenity

A woman sitting on her blue armchair, enjoying the view of the warm, cloudy sunset while surrounded by nature and decorative plants in her living room in San Francisco, California.
BLIP-2 Description:
a woman sitting on a couch in front of a tv watching a sunsetMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
kissing apple civic hardware lamp sky indoors max window outdoor sun states romantic san francisco flooring living cloudy ca vase electronics wood housing room shelter dining wildlife sitting plant tv accessories planter animal building footwear architecture water phone computer antelope handbag tool california coffee design shoe lighting february bedroom couch decorative cushion furniture desk floor home armchair tree winter bag pants monitor jar continental pottery pro van ness ave machine outdoors decor screen blue sea mammal photography chair iphone bed potted plant portrait interior table mobile united flower center nature decorative plant
iso
320
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
37.78
longitude
-122.42
shutter speed
1/120s
camera make
Apple
camera model
date
2021-02-07T17:38:29.811000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(21.80%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-1.20%)
harmonious color
(0.35%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-57.71%)
intrusive object presence
(-17.82%)
lively color
(-19.03%)
low light
(40.97%)
noise
(-3.88%)
pleasant camera tilt
(-11.16%)
pleasant composition
(-83.06%)
pleasant lighting
(-61.23%)
pleasant pattern
(5.49%)
pleasant perspective
(-9.87%)
pleasant post processing
(2.14%)
pleasant reflection
(-1.92%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.20%)
tastefully blurred
(-20.78%)
well chosen subject
(-7.96%)
well framed subject
(-46.19%)
well timed shot
(-0.96%)
all
(-11.03%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
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.