Photos | Christmas Illumination at Downtown Sonoma
The serenity of the November night, embellished with the twinkling Christmas lights adorning the building, served as the perfect backdrop for David Paich and his companion. Their lovely moment in time, captured in downtown Sonoma, reflects the magical ambiance of the city under a starlit sky.
BLIP-2 Description:
a couple standing in front of a building lit up with christmas lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
urban clock flag street night outdoor formal footwear window david paich hall path tower sky brick pedestrian city fireworks sidewalk arch building lighting shoe outdoors fortress nature coat castle office romantic dome downtown metropolis kissing road suit architecture hat tool spire light wear ty shelter sonoma darkness land
iso
25600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(48.46%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-1.66%)
harmonious color
(4.86%)
immersiveness
(1.12%)
interaction
(1.00%)
interesting subject
(-45.92%)
intrusive object presence
(-2.73%)
lively color
(-27.93%)
low light
(99.66%)
noise
(-1.88%)
pleasant camera tilt
(-2.54%)
pleasant composition
(-15.01%)
pleasant lighting
(-39.48%)
pleasant pattern
(6.13%)
pleasant perspective
(8.92%)
pleasant post processing
(6.07%)
pleasant reflection
(-0.96%)
pleasant symmetry
(2.59%)
sharply focused subject
(1.34%)
tastefully blurred
(-8.05%)
well chosen subject
(1.81%)
well framed subject
(16.98%)
well timed shot
(1.43%)
all
(0.45%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.