Photos | San Francisco High-Rise Horizon
A breathtaking view of the iconic San Francisco cityscape, captured from the vantage point of a high-rise apartment. The convergence of residential and commercial buildings, gracefully peppered with greenery, provides a testament to urban architectural prowess. This image, captured in December 2023, epitomizes the vibrant and dynamic life in the heart of the city. Note the gentle dance of the bustling intersection, signs of construction in progress, and the faint outline of people, all under a beautifully cloudy sky.
BLIP-2 Description:
a view of the city from a windowMetadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
crane tower high yerba buena commercial outdoors condo plant urban metropolitan area skyscraper city cloudy random cityscape downtown office sky high rise building residential road architecture december mixed-use development apartment outdoor rise metropolis housing aerial tree view neighborhood construction intersection
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.79
longitude
-122.4
shutter speed
1/1721s
camera make
Apple
camera model
date
2023-12-19T10:54:51.044000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(52.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.15%)
harmonious color
(2.94%)
immersiveness
(2.08%)
interaction
(1.00%)
interesting subject
(-2.56%)
intrusive object presence
(-5.98%)
lively color
(1.61%)
low light
(1.51%)
noise
(-2.42%)
pleasant camera tilt
(-7.43%)
pleasant composition
(1.64%)
pleasant lighting
(10.55%)
pleasant pattern
(30.35%)
pleasant perspective
(31.71%)
pleasant post processing
(5.31%)
pleasant reflection
(-0.66%)
pleasant symmetry
(1.37%)
sharply focused subject
(0.44%)
tastefully blurred
(-2.64%)
well chosen subject
(4.73%)
well framed subject
(-11.60%)
well timed shot
(2.18%)
all
(10.12%)
* 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.