Photos | Seaside Nuptials
Aristo and Yan's wedding ceremony on the beach house roof, surrounded by a beautiful flower arrangement and stunning ocean views. The bride and groom looked impeccable in their formal wear, while their guests admired the clothing and bouquet choices. January 31st, 2010.
BLIP-2 Description:
a wedding ceremony at the beach houseChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
tie aristo sham bride necklace formal handrail evening plant fence window gown flower flower bouquet bridegroom tuxedo arrangement mobile wedding roof microphone bag art fashion yan zibei ceremony glasses wear electronics jewelry suit accessories formal wear device groom phone dress sonny sonny_wedding bouquet handbag electrical
iso
100
metering mode
5
aperture
f/4
focal length
70mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2010-01-31T12:25:47.220000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.92%)
curation
(65.92%)
highlight visibility
(5.57%)
behavioral
(70.54%)
failure
(-0.29%)
harmonious color
(3.32%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(1.38%)
intrusive object presence
(-24.98%)
lively color
(7.61%)
low light
(1.90%)
noise
(-1.39%)
pleasant camera tilt
(-10.35%)
pleasant composition
(-48.97%)
pleasant lighting
(-2.46%)
pleasant pattern
(25.93%)
pleasant perspective
(5.86%)
pleasant post processing
(-1.96%)
pleasant reflection
(-2.73%)
pleasant symmetry
(3.93%)
sharply focused subject
(1.25%)
tastefully blurred
(-3.64%)
well chosen subject
(-16.74%)
well framed subject
(-12.63%)
well timed shot
(6.17%)
all
(1.76%)
* 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-3.5-turbo-0301
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.