Photos | Rainbow Wedding Bliss
Bonnie Canino and Florence Foresti stand before a rainbow backdrop on their wedding day surrounded by loved ones adorned in elegant attire and vibrant flower arrangements.
BLIP-2 Description:
a man and woman standing in front of a rainbow colored backdropChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities florence bride necklace formal evening wickstrom_wedding plant leisure chair gown flower footwear arrangement stage wedding microphone hat wristwatch furniture shoe wickstrom art foresti fashion bonnie canino dan b ceremony glasses audience wear jewelry suit flower arrangement accessories lighting device dress bouquet crowd dancing electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-10-29T19:27:17.680000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.58%)
curation
(65.60%)
highlight visibility
(5.55%)
behavioral
(70.52%)
failure
(-0.46%)
harmonious color
(2.19%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(16.61%)
intrusive object presence
(-27.98%)
lively color
(-34.23%)
low light
(85.06%)
noise
(-2.81%)
pleasant camera tilt
(-6.17%)
pleasant composition
(-75.59%)
pleasant lighting
(-43.24%)
pleasant pattern
(5.76%)
pleasant perspective
(0.02%)
pleasant post processing
(-3.91%)
pleasant reflection
(0.02%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.56%)
tastefully blurred
(-11.60%)
well chosen subject
(-25.34%)
well framed subject
(-19.70%)
well timed shot
(10.63%)
all
(-7.19%)
* 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.