Photos | Rolling Streets of Sonoma: A Skateboarding Adventure
Captured on November 25, 2023, in the heart of downtown Sonoma, this image embodies the essence of outdoor adventure and family bonding. The striking contrast of the vibrant foliage and urban architecture frames an exhilarating moment as Michaela and young Wesley skateboard down the city streets, blending the rhythm of city life with a dash of adrenaline.
BLIP-2 Description:
a woman and a child skateboarding on a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture sleeve jeans boy pants neighborhood urban plant sonoma building soil portrait hut child footwear sweater cap outdoors hat wristwatch walkway porch tree leaf road outdoor house jacket rural sky wood shoe city tarmac foliage street strap glove asphalt machine coat glasses long path nature wheel vegetation grass accessories downtown maple walking countryside housing knitwear michaela photography wesley shelter
iso
160
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T15:59:36.190000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(45.21%)
curation
(68.48%)
highlight visibility
(5.77%)
behavioral
(70.69%)
failure
(-0.54%)
harmonious color
(2.83%)
immersiveness
(1.95%)
interaction
(2.00%)
interesting subject
(8.89%)
intrusive object presence
(-10.86%)
lively color
(-0.14%)
low light
(2.10%)
noise
(-0.85%)
pleasant camera tilt
(-6.14%)
pleasant composition
(-16.36%)
pleasant lighting
(-22.02%)
pleasant pattern
(3.78%)
pleasant perspective
(15.78%)
pleasant post processing
(-1.66%)
pleasant reflection
(1.48%)
pleasant symmetry
(1.59%)
sharply focused subject
(2.42%)
tastefully blurred
(-5.69%)
well chosen subject
(-28.27%)
well framed subject
(38.57%)
well timed shot
(12.79%)
all
(2.91%)
* 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.