Photos | Sealed with a Sunset
Featuring Lori S and Dave B from our 2023 album 'Outstanding in the Field - Hog Island Oyster Co,' this moment captures the couple's magical kiss at sunset on a beach in Marshall, California. Their love story is framed by the gentle coastal backdrop, fashion accessories sparkle in the dwindling light, and nature itself seems to pause, painting the sky with hues of romance. Their attire, a clever mix of formal and coastal, personifies the beautiful union between love, style and the great outdoors.
BLIP-2 Description:
a man and woman kissing at sunset on a beachChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
Location:
sunset tie formal lori s optical outstanding portrait chair beach oyster bridegroom ring equipment wedding outdoors sea wristwatch hat romantic field furniture outdoor jacket sky co eyeglasses island sun hog dave coat glasses water wear nature sunglasses jewelry accessories earring blazer coast kissing kiss shoreline photography sunrise
iso
25
metering mode
3
aperture
f/1.9
focal length
3mm
latitude
38.16
longitude
-122.89
shutter speed
1/422s
camera make
Apple
camera model
date
2023-11-08T16:56:01.796000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(48.22%)
curation
(68.46%)
highlight visibility
(82.26%)
behavioral
(90.93%)
failure
(-0.22%)
harmonious color
(7.37%)
immersiveness
(0.27%)
interaction
(4.00%)
interesting subject
(28.20%)
intrusive object presence
(-8.25%)
lively color
(11.37%)
low light
(10.47%)
noise
(-3.71%)
pleasant camera tilt
(1.46%)
pleasant composition
(-1.54%)
pleasant lighting
(7.01%)
pleasant pattern
(1.10%)
pleasant perspective
(1.89%)
pleasant post processing
(0.86%)
pleasant reflection
(-0.26%)
pleasant symmetry
(0.20%)
sharply focused subject
(7.96%)
tastefully blurred
(7.85%)
well chosen subject
(-7.72%)
well framed subject
(56.69%)
well timed shot
(57.86%)
all
(11.43%)
* 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.