Photos | A Colorful Wedding Reception on a Flagstone Walkway
Kathy Brier celebrates with 33 guests at her outdoor wedding reception, surrounded by lush palm trees and colorful flower arrangements on a beautiful flagstone walkway.
BLIP-2 Description:
a wedding reception in a large outdoor settingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
housing walkway path room grass furniture dress decor floor dining wear home fun waiting room plant tree linen hawaii court formal indoors bag accessories wood outdoor chair arrangement building footwear banquet architecture crowd camera flagstone cafeteria food bouquet palm interior table bride cup restaurant meal flooring handbag reception hall house tablecloth kathy brier land flower patio electronics wedding shoe
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-03-15T20:31:58-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.12%)
harmonious color
(3.61%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(3.58%)
intrusive object presence
(-5.47%)
lively color
(-10.30%)
low light
(11.30%)
noise
(-0.66%)
pleasant camera tilt
(-7.42%)
pleasant composition
(-70.46%)
pleasant lighting
(-32.42%)
pleasant pattern
(5.57%)
pleasant perspective
(15.61%)
pleasant post processing
(6.10%)
pleasant reflection
(-0.07%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.39%)
tastefully blurred
(-10.33%)
well chosen subject
(-0.28%)
well framed subject
(-38.60%)
well timed shot
(15.06%)
all
(-0.73%)
* 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.