Photos | Formal Beach Wedding

Jonathan Reynolds, Lenny R, Mark B, Aaron A, Melissa, Dustin B, Mandy B, and Ernie M stand on the cloudy beach wearing their finest formal wear for a beautiful wedding ceremony on the shore of Hawaii's water body in 2008.
BLIP-2 Description:
a group of people in formal attire standing on the beachMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
tie bracelet summer bride necklace r evening plant gown footwear flower tuxedo bridegroom arrangement wedding lenny outdoor sky hill shoe groupshot land fashion ceremony glasses water soccer ball shore mark aaron a jonathan reynolds lake grass jewelry sport suit accessories bridesmaid formal wear melissa groom mandy b ernie m football dress bouquet cloudy dustin hawaii
iso
100
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
26mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2008-03-15T19:33:37-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(55.66%)
curation
(96.50%)
highlight visibility
(7.91%)
behavioral
(70.66%)
failure
(-0.54%)
harmonious color
(0.98%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(61.72%)
intrusive object presence
(-6.18%)
lively color
(6.98%)
low light
(7.81%)
noise
(-2.22%)
pleasant camera tilt
(-0.88%)
pleasant composition
(26.07%)
pleasant lighting
(-7.32%)
pleasant pattern
(6.08%)
pleasant perspective
(5.62%)
pleasant post processing
(-1.81%)
pleasant reflection
(1.28%)
pleasant symmetry
(0.85%)
sharply focused subject
(1.56%)
tastefully blurred
(-3.45%)
well chosen subject
(18.37%)
well framed subject
(53.27%)
well timed shot
(16.50%)
all
(9.50%)
* 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.