Photos | 'Balancing Act in Francisco Park'
Captured on a vibrant day at the Francisco Park in 2023, an idiosyncratic scene unfolds - a view of a quaint bench perched with precision atop a fence, integrating oddity with urban aesthetics. This image, set against the bustling backdrop of the city skyline and serene waterfront, epitomizes the harmonious marriage of urban life and nature. Our furry friend - a Newfoundland dog, plays a charming cameo. His joyous frolicking in the grass under the cloud-dappled sky complements the tranquility of the park scene.
BLIP-2 Description:
a fence with a bench on top of itMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban countryside crane scenery canine animal transportation town outdoor water house grass rise tower sky park monastery dog tree fence waterfront condo housing city mammal car reed li building lake villa outdoors nature construction cloudy pet residential neighborhood newfoundland office area plant hi landscape metropolis cityscape road rural vehicle high architecture blue apartment spire francisco wesley boat shelter hill sea land
iso
100
metering mode
5
aperture
f/8
focal length
35mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(50.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.29%)
harmonious color
(5.68%)
immersiveness
(1.68%)
interaction
(1.00%)
interesting subject
(-30.20%)
intrusive object presence
(-5.20%)
lively color
(-7.81%)
low light
(1.17%)
noise
(-0.85%)
pleasant camera tilt
(-5.54%)
pleasant composition
(-9.61%)
pleasant lighting
(22.62%)
pleasant pattern
(5.20%)
pleasant perspective
(21.75%)
pleasant post processing
(-2.81%)
pleasant reflection
(4.50%)
pleasant symmetry
(1.29%)
sharply focused subject
(1.22%)
tastefully blurred
(0.97%)
well chosen subject
(2.05%)
well framed subject
(-26.78%)
well timed shot
(-5.41%)
all
(7.50%)
* 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.