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:
ceremony jacket machine grass bridegroom sonny dress sonny_wedding hill groupshot wear vehicle car tie jeans plant teen shoe fashion transportation girl formal winter bag accessories january gown outdoor roof sonny l jewelry pants ken yamamura arrangement glasses footwear bouquet celebration necklace mark flower bouquet automobile suit canon bride pickup truck eos tuxedo overcoat handbag blazer truck groom land flower art ii wedding coat
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.