Photos | Benching with my Furry Buddy in Downtown Sonoma

A peaceful afternoon captured on 25th November, 2023, with my stuffed animal friend enjoying a momentary rest on a bench in Downtown Sonoma. The quiet architecture of houses and a distant car enhances the tranquility of the scene, while the house porch and outdoors cast inviting shadows. Remember, even in the midst of hustle bustle, we must all take a little time to sit and ponder.
BLIP-2 Description:
a stuffed animal sitting on a bench outsideMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
car floor fence sock sonoma brick interior cushion vehicle outdoors footwear handrail hosiery child pickup house hardhat helmet railing lamppost lighting city downtown pergola glove hat design couch flooring building furniture sport architecture baseball staircase patio shoe automobile skylight handbag cap wood living shelter light boy window wesley transportation hardwood home truck porch door machine decor housing plywood room bag indoors accessories
iso
640
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T16:32:44.730000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(43.16%)
curation
(65.40%)
highlight visibility
(5.68%)
behavioral
(90.71%)
failure
(-0.24%)
harmonious color
(0.89%)
immersiveness
(2.59%)
interaction
(1.00%)
interesting subject
(-32.40%)
intrusive object presence
(-2.61%)
lively color
(2.34%)
low light
(17.02%)
noise
(-1.49%)
pleasant camera tilt
(-9.13%)
pleasant composition
(-38.21%)
pleasant lighting
(-21.20%)
pleasant pattern
(14.26%)
pleasant perspective
(14.81%)
pleasant post processing
(-0.05%)
pleasant reflection
(-0.95%)
pleasant symmetry
(2.39%)
sharply focused subject
(1.29%)
tastefully blurred
(7.06%)
well chosen subject
(-19.75%)
well framed subject
(-28.66%)
well timed shot
(7.88%)
all
(1.31%)
* 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.