Photos | Wedding Reception at the Royal Aloha Resort
Mary Ann Gomes, Claude Akins, and Melissa celebrate the newlyweds amidst palm trees and Hawaiian decor at the resort's restaurant.
BLIP-2 Description:
wedding reception at the royal aloha resortChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture reception villa cafeteria plant building meal food chair gown footwear flower mary ann gomes arrangement wedding outdoors flagstone hat walkway tree patio restaurant furniture outdoor house flooring court shoe bag waiting room land resort fun akins ceremony camera hall indoors dining hotel path nature electronics grass claude table suit room accessories arbour melissa housing home decor garden palm dress floor bouquet handbag linen tablecloth hawaii
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-03-15T20:29:30-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.11%)
curation
(65.33%)
highlight visibility
(5.53%)
behavioral
(70.54%)
failure
(-1.22%)
harmonious color
(-0.93%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-61.91%)
intrusive object presence
(-20.53%)
lively color
(-17.19%)
low light
(38.72%)
noise
(-3.66%)
pleasant camera tilt
(-13.64%)
pleasant composition
(-91.94%)
pleasant lighting
(-63.13%)
pleasant pattern
(3.76%)
pleasant perspective
(-9.31%)
pleasant post processing
(6.59%)
pleasant reflection
(-0.41%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.10%)
tastefully blurred
(-23.32%)
well chosen subject
(3.43%)
well framed subject
(-66.36%)
well timed shot
(0.08%)
all
(-10.83%)
* 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.