Photos | Sea-Side Serenity: Lunch in the Bay
Sun-drenched lunch by the water - Lori S, fully accessorized in a fashionable jacket and beanie, enjoys a casual meal on a bench overlooking the serene waters of San Francisco, California. Marvel at the captivating backdrop of the city's iconic architecture and the endless blue sky, truly a warm October's day well spent. Time/date of the moment: October 26, 2023, 13:13 PM
BLIP-2 Description:
a woman sitting on a bench with a plate of foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture summer watercraft headgear necklace pants lori s building baseball portrait cap outdoors sea hat wristwatch lady transportation porch furniture jacket outdoor house boat sky vacation city swimwear sitting fun scenery randoms coat glasses dining water waterfront lifejacket nature sunglasses electronics lake jewelry vehicle table accessories vest october beanie housing ocean photography phone pier body part shelter
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.77
longitude
-122.39
shutter speed
1/2415s
camera make
Apple
camera model
date
2023-10-26T13:13:08.691000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(57.13%)
curation
(66.49%)
highlight visibility
(5.77%)
behavioral
(90.92%)
failure
(-0.10%)
harmonious color
(9.63%)
immersiveness
(1.76%)
interaction
(2.00%)
interesting subject
(15.01%)
intrusive object presence
(-4.57%)
lively color
(22.97%)
low light
(0.76%)
noise
(-0.27%)
pleasant camera tilt
(-3.52%)
pleasant composition
(-18.41%)
pleasant lighting
(-2.04%)
pleasant pattern
(5.86%)
pleasant perspective
(12.90%)
pleasant post processing
(-4.31%)
pleasant reflection
(2.54%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.90%)
tastefully blurred
(0.90%)
well chosen subject
(-2.69%)
well framed subject
(30.76%)
well timed shot
(8.97%)
all
(7.41%)
* 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,
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