Photos | Illuminated Nights in Downtown Sonoma
A captivating November night snapshot from 2023 in Downtown Sonoma showcasing the beautiful contrast of nature and urban life. The twilight blue sky frames a palm tree dramatically lit against a city building, offering a sight to admire. An encapsulation of night life, urban architecture and pristine nature all in one frame.
BLIP-2 Description:
a palm tree lit up at night in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
tarmac lighting sonoma scenery path housing car wheel shelter grass machine outdoors arecales city urban wheel villa potted intersection car vehicle sycamore sky plant tree freeway transportation summer downtown cross flare alloy tire photography sidewalk cloud traffic outdoor woodland street road fireworks night building park architecture spoke landscape vegetation highway palm portrait light metropolis green lawn grove house rekognition_c land flower oak nature neighborhood field symbol
iso
20000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T17:19:26-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(61.28%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.81%)
harmonious color
(15.54%)
immersiveness
(6.93%)
interaction
(1.00%)
interesting subject
(2.44%)
intrusive object presence
(-3.10%)
lively color
(7.47%)
low light
(63.87%)
noise
(-1.03%)
pleasant camera tilt
(-1.42%)
pleasant composition
(26.15%)
pleasant lighting
(-0.16%)
pleasant pattern
(6.74%)
pleasant perspective
(19.67%)
pleasant post processing
(10.46%)
pleasant reflection
(5.39%)
pleasant symmetry
(2.88%)
sharply focused subject
(2.22%)
tastefully blurred
(0.26%)
well chosen subject
(11.55%)
well framed subject
(25.95%)
well timed shot
(8.63%)
all
(13.58%)
* 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.