Photos | A Beach Wedding Romance
Gunter Spieß, Martin Andanar, and Mark B exchange vows with the ocean and palm trees as their backdrop. The wedding party looks sharp in their suits and wedding gowns as they celebrate this joyous day on the grass.
BLIP-2 Description:
a wedding ceremony on the beach with people in suitsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
tie bride r formal evening plant chair gown tuxedo flower footwear bridegroom wedding outdoors transportation tree lenny furniture outdoor shoe bag land fashion ceremony glasses gunter spieß mark wear aaron a car grass vehicle suit flower arrangement accessories bridesmaid high martin heel handbag andanar groom palm dress bouquet lawn crowd hawaii
iso
100
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
21mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2008-03-15T18:53:48-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.92%)
curation
(91.50%)
highlight visibility
(7.52%)
behavioral
(70.61%)
failure
(-0.32%)
harmonious color
(1.17%)
immersiveness
(3.27%)
interaction
(1.00%)
interesting subject
(6.42%)
intrusive object presence
(-7.28%)
lively color
(1.07%)
low light
(0.93%)
noise
(-2.29%)
pleasant camera tilt
(-3.74%)
pleasant composition
(-52.15%)
pleasant lighting
(-11.06%)
pleasant pattern
(6.59%)
pleasant perspective
(8.96%)
pleasant post processing
(1.48%)
pleasant reflection
(3.95%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.59%)
tastefully blurred
(-11.91%)
well chosen subject
(-20.89%)
well framed subject
(-53.86%)
well timed shot
(6.35%)
all
(0.81%)
* 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.