Photos | Urban Meets Nature: A Fleet Week Spectacle
A scenic exploration of modern life intersecting with the natural world during the 2023 Fleet Week Air Show at Great Meadow Park, San Francisco. Witness a bridge poised majestically over the serene water, with city's vibrant skyline in the background. On display: the harmony of man-made marvels and the organic beauty of nature. Captured on: 7th October 2023.
BLIP-2 Description:
a bridge over waterChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
architecture cruiser weather air watercraft port flag neighborhood urban arch plant building sailboat airplane outdoors roof transportation sea cloud tree condo outdoor house week spire boat sky hill city landscape navy land aircraft yacht bird tower scenery ship water waterfront metropolis mountain nature cityscape lake car vehicle bridge office harbor housing fleet range promontory animal show pier military shelter
iso
100
metering mode
5
aperture
f/5
focal length
70mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-10-07T14:27:46.799000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.15%)
harmonious color
(11.11%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-24.68%)
intrusive object presence
(-16.77%)
lively color
(-2.31%)
low light
(0.17%)
noise
(-0.12%)
pleasant camera tilt
(-13.50%)
pleasant composition
(-57.03%)
pleasant lighting
(-13.33%)
pleasant pattern
(6.57%)
pleasant perspective
(15.99%)
pleasant post processing
(3.32%)
pleasant reflection
(-1.97%)
pleasant symmetry
(1.34%)
sharply focused subject
(0.24%)
tastefully blurred
(1.80%)
well chosen subject
(3.70%)
well framed subject
(-29.37%)
well timed shot
(2.94%)
all
(1.69%)
* 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.