Photos | The Elegant Wedding Party

A group of 41 people, including Chang Dae-hwan, Shlomo Mintz, and Sachiko Yamashita, pose for a photo at the beautiful outdoor ceremony. The stunning blue sky and cloudy backdrop complement the formal clothing worn by the guests, including wedding gowns, suits, and accessories. A perfect day for Sonny's wedding!
BLIP-2 Description:
a group of people posing for a photoMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
bride evening plant gown tuxedo flower bridegroom footwear wedding wristwatch crowd tree sachiko yamashita outdoor sky chang dae-hwan bag shoe land cloudy fashion ceremony coat shrub cross grass shlomo mintz suit accessories flower arrangement bridesmaid handbag formal wear palm dress sonny sonny_wedding bouquet sonny l symbol
iso
100
metering mode
5
aperture
f/4
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2010-01-31T12:42:29.740000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(48.58%)
curation
(65.91%)
highlight visibility
(5.57%)
behavioral
(70.62%)
failure
(-0.32%)
harmonious color
(2.93%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(58.40%)
intrusive object presence
(-17.11%)
lively color
(-5.73%)
low light
(1.20%)
noise
(-2.98%)
pleasant camera tilt
(-2.49%)
pleasant composition
(-32.59%)
pleasant lighting
(-41.41%)
pleasant pattern
(3.54%)
pleasant perspective
(8.37%)
pleasant post processing
(1.28%)
pleasant reflection
(1.17%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.49%)
tastefully blurred
(-5.18%)
well chosen subject
(-8.42%)
well framed subject
(9.88%)
well timed shot
(22.50%)
all
(0.99%)
* 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.