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:
ceremony jacket grass sonny dress long sonny_wedding ken wear thúy jeans car tie vehicle plant tree shoe fashion transportation formal sleeve bag accessories gown formal wear outdoor sonny l roof pants jewelry arrangement glasses footwear bouquet necklace yamamura suit kim bride flower arrangement tuxedo overcoat handbag blazer rekognition_c groom land flower art wedding pang wei coat
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.