Photos | Wedding Party at Beautiful Landscape House
Kim Thúy, Pang Wei, and Ken Yamamura posed in front of the stunning house with 8 coats, 11 people, flower bouquets, formal wear, and accessories on their unforgettable wedding day in 2010.
BLIP-2 Description:
a group of people posing for a photo in front of a houseChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sleeve tie jeans bride pants necklace formal plant ken overcoat gown flower tuxedo footwear pang wei arrangement wedding roof transportation tree thúy outdoor jacket bag shoe land yamamura art fashion ceremony coat glasses long kim wear rekognition_c car grass jewelry vehicle suit flower arrangement accessories handbag blazer formal wear groom dress sonny sonny_wedding bouquet sonny l
iso
100
metering mode
5
aperture
f/4
focal length
46mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2010-01-31T12:45:42.400000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(54.69%)
curation
(66.40%)
highlight visibility
(5.61%)
behavioral
(70.59%)
failure
(-0.17%)
harmonious color
(4.65%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(50.68%)
intrusive object presence
(-10.47%)
lively color
(6.93%)
low light
(1.44%)
noise
(-2.15%)
pleasant camera tilt
(-2.66%)
pleasant composition
(-23.10%)
pleasant lighting
(-15.36%)
pleasant pattern
(5.37%)
pleasant perspective
(9.83%)
pleasant post processing
(2.58%)
pleasant reflection
(-1.92%)
pleasant symmetry
(0.54%)
sharply focused subject
(3.10%)
tastefully blurred
(19.04%)
well chosen subject
(-18.24%)
well framed subject
(22.56%)
well timed shot
(12.93%)
all
(4.26%)
* 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.