Photos | Vibrant Soul in Sonoma Downtown
Depicting the contemporary urban lifestyle, this photo captures an enigmatic woman adorned with necklace and dressed in subtle clothing, marking her own unique presence with her vibrant purple hair. Her happy face adds warmth to the hardwood architecture of the charming pub in the heart of downtown Sonoma. Taken on November 25, 2023; her infectious smile remains timeless.
BLIP-2 Description:
a woman with purple hair sitting in a boothMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
flooring wood dress portrait dunes dorsey house tonny sinatra interior necklace vegas floor housing plywood jewelry las happy pub building jult table frank alesia sign casino smile crypt staircase midnight frank downtown handrail hardwood architecture design furniture door accessories photography indoors sitting sonoma part
iso
2500
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(36.94%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.83%)
harmonious color
(1.29%)
immersiveness
(0.44%)
interaction
(2.00%)
interesting subject
(-8.67%)
intrusive object presence
(-6.74%)
lively color
(-28.15%)
low light
(38.31%)
noise
(-5.32%)
pleasant camera tilt
(-8.87%)
pleasant composition
(-43.43%)
pleasant lighting
(-53.91%)
pleasant pattern
(3.03%)
pleasant perspective
(9.06%)
pleasant post processing
(1.41%)
pleasant reflection
(-8.10%)
pleasant symmetry
(2.61%)
sharply focused subject
(0.27%)
tastefully blurred
(-21.40%)
well chosen subject
(-8.14%)
well framed subject
(20.17%)
well timed shot
(13.77%)
all
(-4.46%)
* 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.