Photos | Sky Spectacular at Fleet Week Air Show 2023

Capturing an impressive aerial performance in progress at the renowned Fleet Week Air Show in San Francisco, October 2023. The potent display of aircraft (with a confidence of 98%) and five airplanes (at a confidence of 98%), sets an imposing scene against a distinctively blue sky. The cable-stayed bridge in the background and waterfront provide an urban twist to the view, symbolizing the harmonious blend of city life and natural beauty. Behold the mingling of man-made marvels and nature in all its glory.
BLIP-2 Description:
the bridge is in the backgroundMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
car waterfront lake flying vehicle outdoors cumulus hill pier urban fleet animal weather bird boat city airshow recreation sailboat smoke cloudy watercraft flag air sky bridge land landscape cable airplane week suspension water nature cloud transportation scenery outdoor performance promontory machine metropolis stayed aircraft show
iso
100
metering mode
5
aperture
f/7.1
focal length
140mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-10-07T14:36:51.577000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(55.32%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.24%)
harmonious color
(12.90%)
immersiveness
(3.56%)
interaction
(1.00%)
interesting subject
(1.96%)
intrusive object presence
(-9.67%)
lively color
(-1.47%)
low light
(0.22%)
noise
(-0.20%)
pleasant camera tilt
(-12.03%)
pleasant composition
(-13.10%)
pleasant lighting
(-18.93%)
pleasant pattern
(13.57%)
pleasant perspective
(22.46%)
pleasant post processing
(-0.70%)
pleasant reflection
(0.58%)
pleasant symmetry
(3.13%)
sharply focused subject
(0.12%)
tastefully blurred
(-7.42%)
well chosen subject
(-0.39%)
well framed subject
(-35.33%)
well timed shot
(7.90%)
all
(6.36%)
* 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.