Photos | Wedding Celebration on the Dance Floor
Sara Bergmark Elfgren and Bonnie Canino dancing with friends and family at the 2011 Wickstrom wedding. The stunning flower arrangements and elegant furniture make for a picture-perfect evening.
BLIP-2 Description:
a group of people dancing in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting ikebana wedding wickstrom furniture dress desk activities glove dancing wear plant fashion wristwatch formal indoors accessories bag beverage evening gown jewelry chair pub arrangement canino bouquet club counter suit bar table wickstrom_wedding alcohol restaurant flower arrangement handbag bonnie sara bergmark elfgren leisure flower art hat necklace wood
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-10-29T19:25:16.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.95%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.10%)
harmonious color
(0.04%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-46.95%)
intrusive object presence
(-15.92%)
lively color
(-42.16%)
low light
(68.65%)
noise
(-2.34%)
pleasant camera tilt
(-10.78%)
pleasant composition
(-91.16%)
pleasant lighting
(-50.54%)
pleasant pattern
(1.37%)
pleasant perspective
(-3.79%)
pleasant post processing
(-9.09%)
pleasant reflection
(0.09%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.12%)
tastefully blurred
(-62.30%)
well chosen subject
(-8.67%)
well framed subject
(-57.62%)
well timed shot
(4.33%)
all
(-12.10%)
* 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.