Photos | Metropolitan Majesty: A Rooftop View

Embracing the cityscape from the rooftop, October 14, 2023. A blend of urban architecture and nature's beauty presents a breathtaking scene - from the sailboats navigating the vibrant water body to the subtle play of cumulus clouds against the backdrop of azure sky. This stunning rooftop view also includes a peek at our companions, Wesley, Hi-Li and our loyal Newfoundland canine enjoying the crisp fall morning at Francisco Park.
BLIP-2 Description:
a view of the city from a rooftopMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture weather villa cruiser watercraft rise neighborhood urban newfoundland plant building bell apartment window cumulus outdoors transportation sea lamp roof cloud clock condo outdoor spire house pet boat sky hill city francisco navy land tower li dog hi scenery ship dome water waterfront metropolis nature cityscape canine lake vehicle office high harbor coast housing shoreline mammal promontory animal wesley pier cloudy military park shelter
iso
50
metering mode
5
aperture
f/8
focal length
50mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2023-10-14T10:58:59.290000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.22%)
harmonious color
(6.55%)
immersiveness
(1.61%)
interaction
(1.00%)
interesting subject
(-58.35%)
intrusive object presence
(-4.98%)
lively color
(-8.64%)
low light
(3.61%)
noise
(-0.61%)
pleasant camera tilt
(-13.46%)
pleasant composition
(-30.93%)
pleasant lighting
(4.46%)
pleasant pattern
(3.03%)
pleasant perspective
(23.61%)
pleasant post processing
(-4.29%)
pleasant reflection
(-7.35%)
pleasant symmetry
(0.83%)
sharply focused subject
(1.10%)
tastefully blurred
(-3.93%)
well chosen subject
(5.15%)
well framed subject
(-21.70%)
well timed shot
(-0.06%)
all
(3.26%)
* 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.