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:
activities formal necklace bonnie evening wickstrom_wedding plant pub leisure chair flower gown bar arrangement beverage wedding hat wristwatch restaurant furniture counter wood bag wickstrom art glove fashion canino desk alcohol club indoors wear jewelry table accessories flower arrangement suit sara bergmark elfgren lighting dress ikebana bouquet handbag dancing
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.