Photos | Soaring Over the San Francisco Skyline

In this captivating shot from the Fleet Week Air Show 2023, military aircraft skillfully navigate around the iconic cable-stayed bridge of San Francisco. The picturesque blend of nature, boat-filled waterfront, and city skyline serve as a vibrant backdrop to this electrifying display of precision and performance. The spectacle unfolds under a partly cloud-filled blue sky, painting a striking canvas of urban excitement meets serene outdoors. Truly a testament to the city's rich naval heritage, vibrant life, and awe-inspiring landscapes.
BLIP-2 Description:
a bridge over waterMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
weather cruiser air watercraft airshow flag sailboat urban cable cumulus airplane outdoors transportation cloud outdoor week boat performance hill sky city navy suspension land aircraft bird stayed scenery ship flying water waterfront metropolis nature smoke lake car vehicle bridge recreation fleet promontory animal show pier cloudy military
iso
100
metering mode
5
aperture
f/6.3
focal length
140mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-10-07T14:36:52.011000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.49%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.22%)
harmonious color
(11.55%)
immersiveness
(1.78%)
interaction
(1.00%)
interesting subject
(8.58%)
intrusive object presence
(-7.86%)
lively color
(-4.43%)
low light
(0.56%)
noise
(-0.32%)
pleasant camera tilt
(-10.89%)
pleasant composition
(-18.41%)
pleasant lighting
(-14.47%)
pleasant pattern
(11.74%)
pleasant perspective
(22.51%)
pleasant post processing
(-0.59%)
pleasant reflection
(0.85%)
pleasant symmetry
(2.34%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.34%)
well chosen subject
(0.51%)
well framed subject
(-26.59%)
well timed shot
(13.10%)
all
(6.49%)
* 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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