Photos | The Quirky Charm of San Francisco Nights

Captured on a balmy October 13th, 2023 night in San Francisco, this photograph celebrates urban energy in the most charming way. The intriguing 'Cheese Boat' sign adorning a sleek black structure stands out as a unique storefront. Subtle elements like the decorative arch, two plants and an old-fashioned manhole tell a tale of eclectic city life. Whether it's a bakery, café, shoe shop or jewelry store, each passerby builds their own narrative. Dive into this image and experience a slice of SF's vibrant nightlife.
BLIP-2 Description:
a black building with a sign that says cheese boatMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
path display decorative manhole cheese randoms urban city october hill id plant boat durrg cafe thks storefront bakery indoors accessories window outdoor jewelry arch night glasses building architecture caution shop ed hees sons td restaurant store life bushcssh rekognition_c telegraph door rsuan shoe
iso
500
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.8
longitude
-122.41
shutter speed
1/30s
camera make
Apple
camera model
date
2023-10-13T18:38:33.610000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(39.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.22%)
harmonious color
(6.68%)
immersiveness
(0.42%)
interaction
(2.00%)
interesting subject
(-46.73%)
intrusive object presence
(-2.69%)
lively color
(18.07%)
low light
(2.64%)
noise
(-7.81%)
pleasant camera tilt
(-7.45%)
pleasant composition
(-15.10%)
pleasant lighting
(17.75%)
pleasant pattern
(9.81%)
pleasant perspective
(13.02%)
pleasant post processing
(3.75%)
pleasant reflection
(-7.91%)
pleasant symmetry
(0.85%)
sharply focused subject
(1.88%)
tastefully blurred
(4.31%)
well chosen subject
(-3.70%)
well framed subject
(-5.36%)
well timed shot
(8.06%)
all
(7.11%)
* 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.