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:
civic plant portrait chair mobile sea flooring design coffee winter electronics pro photography california handbag shelter architecture continental pants flower bedroom armchair tree romantic states outdoor machine indoors san screen table potted plant lighting kissing center van ness ave tv cushion cloudy tool ca lamp furniture sky wood bag francisco sun blue desk dining water interior february room monitor bed decor mammal computer building window footwear decorative plant antelope wildlife decorative outdoors jar living planter shoe pottery iphone sitting hardware nature united max vase accessories couch housing home phone animal floor apple
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.