Photos | Romantic City Night
A tender moment captured. Amy Rutberg shares a kiss with her partner on this beautiful night in downtown Sonoma. Cloaked in warm jackets and surrounded by twinkling urban lights, their love truly lights up the path. Date: November 25, 2023.
BLIP-2 Description:
a couple kissing in a park at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tool tree trunk formal pants urban sonoma plant baseball overcoat footwear sweater cap pedestrian outdoors transportation hat sidewalk walkway flagstone tree romantic furniture jacket outdoor road shoe bag city land bench coat glasses metropolis path wear nature car vehicle suit accessories night downtown darkness walking lighting kissing amy rutberg handbag knitwear
iso
25600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T17:43:57.790000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(33.42%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-2.20%)
harmonious color
(1.35%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-11.67%)
intrusive object presence
(-4.74%)
lively color
(-37.08%)
low light
(99.02%)
noise
(-4.52%)
pleasant camera tilt
(0.71%)
pleasant composition
(-31.32%)
pleasant lighting
(-48.54%)
pleasant pattern
(4.17%)
pleasant perspective
(6.92%)
pleasant post processing
(-12.60%)
pleasant reflection
(0.98%)
pleasant symmetry
(1.10%)
sharply focused subject
(1.22%)
tastefully blurred
(1.82%)
well chosen subject
(-23.03%)
well framed subject
(23.38%)
well timed shot
(23.56%)
all
(-4.11%)
* 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.