Photos | Chic and Cozy Kitchen in the Heart of San Francisco

Sunita Lakra enjoying a delicious brunch at her stylish kitchen with modern furniture, framed art, and natural window light. Perfect for entertaining guests or enjoying a quiet meal with family.
BLIP-2 Description:
a kitchen with a table and chairsMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture civic dining table cafeteria tableware cat urban building frame meal food chair window penthouse brunch faucet armchair lamp restaurant furniture lounge utensil pet flooring design arya wood bag coffee art indoors dining interior rekognition_c sunita living room sink table room accessories bed couch cafe housing plate center mammal animal cup floor handbag painting lakra
iso
80
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/120s
camera make
Apple
camera model
date
2019-10-02T07:12:41.216000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(44.78%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.32%)
harmonious color
(4.33%)
immersiveness
(1.83%)
interaction
(1.00%)
interesting subject
(-21.46%)
intrusive object presence
(-10.16%)
lively color
(-3.31%)
low light
(3.91%)
noise
(-1.93%)
pleasant camera tilt
(-9.98%)
pleasant composition
(-41.87%)
pleasant lighting
(-28.49%)
pleasant pattern
(14.89%)
pleasant perspective
(10.82%)
pleasant post processing
(2.73%)
pleasant reflection
(-6.38%)
pleasant symmetry
(3.15%)
sharply focused subject
(0.59%)
tastefully blurred
(0.64%)
well chosen subject
(-12.48%)
well framed subject
(-18.16%)
well timed shot
(4.99%)
all
(0.01%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.