Photos | Happy Wedding Day

Ken Yamamura and his loved ones pose for a group shot on the grassy hills outside the ceremony, showing off their beautiful flower arrangements and formal wear for Sonny's 2010 wedding.
BLIP-2 Description:
a group of people posing for a pictureMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
tie jeans bride necklace pants celebration formal plant overcoat gown flower flower bouquet footwear tuxedo bridegroom eos wedding arrangement roof transportation ken yamamura girl outdoor jacket hill bag shoe groupshot land art ii fashion machine truck ceremony coat glasses teen january winter mark wear car grass vehicle jewelry pickup truck suit accessories handbag blazer canon groom automobile sonny dress sonny_wedding bouquet sonny l
iso
100
metering mode
5
aperture
f/5
focal length
46mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2010-01-31T12:45:48.630000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(50.05%)
curation
(66.34%)
highlight visibility
(5.60%)
behavioral
(70.65%)
failure
(-0.20%)
harmonious color
(3.62%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(44.24%)
intrusive object presence
(-15.28%)
lively color
(5.99%)
low light
(0.44%)
noise
(-2.81%)
pleasant camera tilt
(-2.49%)
pleasant composition
(-31.67%)
pleasant lighting
(-11.80%)
pleasant pattern
(4.83%)
pleasant perspective
(6.54%)
pleasant post processing
(1.70%)
pleasant reflection
(-1.12%)
pleasant symmetry
(0.46%)
sharply focused subject
(2.25%)
tastefully blurred
(8.11%)
well chosen subject
(-25.61%)
well framed subject
(17.10%)
well timed shot
(14.49%)
all
(2.96%)
* 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.