Photos | A Formal Wedding in Palm Springs
Frédéric Petit and his elegant bride surrounded by family and friends on their special day, captured on camera in Agua Caliente, United States. The stunning flower arrangements, formal wear, and accessories add to the beauty of the occasion.
BLIP-2 Description:
a group of people standing around a man and womanChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5184w x 3456h - (download 4k)
Usage
Dominant Color:
Location:
tie canyon necklace formal plant north mobile gown flower footwear tuxedo south palm springs arrangement frédéric wedding lady wristwatch jacket estates shoe bag sandal fashion camera coat wear river rekognition_c electronics jewelry suit accessories video recreation blazer petit plate phone photography dress bouquet tahquitz handbag
iso
100
metering mode
5
aperture
f/3.5
focal length
22mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2013-11-02T12:20:20.720000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.42%)
harmonious color
(0.05%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(4.59%)
intrusive object presence
(-49.00%)
lively color
(2.26%)
low light
(6.91%)
noise
(-1.68%)
pleasant camera tilt
(-5.13%)
pleasant composition
(-67.58%)
pleasant lighting
(-35.23%)
pleasant pattern
(4.71%)
pleasant perspective
(2.87%)
pleasant post processing
(-3.06%)
pleasant reflection
(-1.04%)
pleasant symmetry
(0.32%)
sharply focused subject
(1.46%)
tastefully blurred
(-8.17%)
well chosen subject
(-20.89%)
well framed subject
(-16.98%)
well timed shot
(14.82%)
all
(-4.02%)
* 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.