Photos | Fleet Week Air Show over the Golden Gate Bridge, 2023

Featuring a spectacular view of the Golden Gate Bridge from Great Meadow Park against a brilliant blue sky, this shot was captured during San Francisco's Fleet Week Air Show in October 2023. Amidst the serene waters dotted with sailboats, two airplanes and a far-off helicopter hint at the buzzing energy of the show. The distant city and mountains, partially shrouded by fog, further enhance the breathtaking scenery. This photograph perfectly captures the spirit of adventure that defines San Francisco.
BLIP-2 Description:
a view of the golden gate bridge from the waterMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
weather cruiser air watercraft sailboat urban airplane peak outdoors transportation sea fog outdoor week boat sky hill city navy land aircraft bird scenery ship flying smog water waterfront metropolis mountain nature smoke lake vehicle bridge fleet range promontory animal show pier helicopter military
iso
100
metering mode
5
aperture
f/7.1
focal length
125mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-10-07T14:53:05.244000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.10%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.27%)
harmonious color
(12.46%)
immersiveness
(1.37%)
interaction
(1.00%)
interesting subject
(15.80%)
intrusive object presence
(-26.88%)
lively color
(-7.76%)
low light
(0.24%)
noise
(-0.34%)
pleasant camera tilt
(-12.77%)
pleasant composition
(-20.94%)
pleasant lighting
(-15.94%)
pleasant pattern
(5.79%)
pleasant perspective
(11.94%)
pleasant post processing
(1.28%)
pleasant reflection
(-6.53%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.12%)
tastefully blurred
(-4.30%)
well chosen subject
(3.23%)
well framed subject
(-16.02%)
well timed shot
(35.52%)
all
(6.41%)
* 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,
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