Photos | The Great Meadow Bridge View
Captured on Fleet Week 2023, the serene view of the bridge over the water at Great Meadow Park, San Francisco. Painted by clouds in the sky and accompanied by 6 onlooking spectators, framed by vibrant foliage, a delightful blend of urban and nature's majesty. The navy's show, mountains in the background, sea vessels, and fluttering flags add intrigue to the spectacle. Mother nature expresses herself subtly with 5 birds flying freely in the horizon. A moment frozen in time where mankind's creations and nature's charms blend into a harmonious panorama.
BLIP-2 Description:
a bridge over waterMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
urban flag scenery mountain animal transportation outdoor water house roof air bird week tower foliage sky navy tree waterfront bridge weather show housing city cloud watercraft building lake shoreline outdoors aircraft nature range airplane cloudy pier plant landscape metropolis cityscape road peak vehicle promontory architecture machine fleet ship blue cruise spire coast military cruiser boat hill sea land
iso
100
metering mode
5
aperture
f/6.3
focal length
73mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(41.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.27%)
harmonious color
(9.67%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-33.98%)
intrusive object presence
(-69.43%)
lively color
(-11.66%)
low light
(0.59%)
noise
(-0.22%)
pleasant camera tilt
(-14.04%)
pleasant composition
(-66.65%)
pleasant lighting
(-23.99%)
pleasant pattern
(3.96%)
pleasant perspective
(17.07%)
pleasant post processing
(0.18%)
pleasant reflection
(-0.85%)
pleasant symmetry
(1.59%)
sharply focused subject
(0.24%)
tastefully blurred
(-1.39%)
well chosen subject
(4.91%)
well framed subject
(-16.63%)
well timed shot
(-1.48%)
all
(-1.55%)
* 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.