Photos | Romantic Night in Downtown Sonoma
Captured on November 25, 2023, this photo reveals a charming moment with a man and woman standing in front of a spectacularly lit clock tower in energetic Downtown Sonoma. Dressed warmly against the night and exuding an aura of romance, they are the only two that matter in this bustling city metropolis. The Christmas lights twinkling against the backdrop of the night sky serve as a reminder of the magical urban winter wonderland that Downtown Sonoma transforms into every year.
BLIP-2 Description:
a man and woman 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:
architecture tool brick door pants arch urban sonoma building window footwear pedestrian outdoors hat sidewalk castle clock romantic road jacket outdoor spire fortress sky tarmac shoe city bag land tower street coat dome metropolis path nature light accessories night downtown lighting kissing handbag shelter
iso
25600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T17:40:06.590000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(52.93%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-1.07%)
harmonious color
(6.57%)
immersiveness
(1.25%)
interaction
(1.00%)
interesting subject
(-10.66%)
intrusive object presence
(-3.59%)
lively color
(-29.76%)
low light
(99.51%)
noise
(-3.74%)
pleasant camera tilt
(-0.96%)
pleasant composition
(-4.00%)
pleasant lighting
(-30.69%)
pleasant pattern
(6.37%)
pleasant perspective
(7.93%)
pleasant post processing
(4.53%)
pleasant reflection
(2.44%)
pleasant symmetry
(5.20%)
sharply focused subject
(0.95%)
tastefully blurred
(-8.91%)
well chosen subject
(1.68%)
well framed subject
(33.81%)
well timed shot
(2.12%)
all
(2.70%)
* 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,
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