Photos | The Wedding Party at the Wickstrom House
Derek Boogaard joins the group of 15 people standing outside the beautiful building, surrounded by 3 wheels of 2 cars, under a blue sky, with their shelter in the garage.
BLIP-2 Description:
a group of people standing outside of a houseChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture derek boogaard formal spoke wickstrom_wedding plant building chair gown footwear wedding outdoors transportation hat tree furniture outdoor house pet garage sky shoe bag license land wickstrom dog fashion machine glasses indoors belt tire wear wheel canine car grass vehicle suit accessories walking alloy housing plate automobile mammal dress animal handbag shelter
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2011-10-29T16:57:54.320000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.08%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.73%)
harmonious color
(-1.90%)
immersiveness
(2.98%)
interaction
(1.00%)
interesting subject
(-65.14%)
intrusive object presence
(-6.42%)
lively color
(-7.12%)
low light
(1.42%)
noise
(-3.93%)
pleasant camera tilt
(-6.13%)
pleasant composition
(-65.87%)
pleasant lighting
(-41.77%)
pleasant pattern
(3.96%)
pleasant perspective
(-3.19%)
pleasant post processing
(1.11%)
pleasant reflection
(0.96%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.57%)
well chosen subject
(-12.65%)
well framed subject
(-52.78%)
well timed shot
(-6.43%)
all
(-7.08%)
* 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.