Photos | A Formal Bridal Party
Gong Byeong-ho poses with his bride and their wedding party, all dressed in elegant formal wear and holding beautiful flower bouquets. The lush green grass and luxury vehicles in the background make for a picture-perfect wedding setting.
BLIP-2 Description:
a man and woman in formal wear standing next to a man and woman in formal wearChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
tie wedding gown bride necklace formal evening plant flower tuxedo flower bouquet gown gong byeong-ho arrangement wedding roof transportation outdoor jacket land art fashion machine ceremony coat glasses wear car grass vehicle jewelry suit accessories formal wear necktie groom automobile dress sonny sonny_wedding bouquet sonny l
iso
100
metering mode
5
aperture
f/5
focal length
70mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2010-01-31T12:48:08.810000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(70.61%)
curation
(66.68%)
highlight visibility
(5.63%)
behavioral
(70.61%)
failure
(-0.10%)
harmonious color
(2.81%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(83.11%)
intrusive object presence
(-6.93%)
lively color
(11.89%)
low light
(2.64%)
noise
(-2.25%)
pleasant camera tilt
(1.28%)
pleasant composition
(24.06%)
pleasant lighting
(23.14%)
pleasant pattern
(7.62%)
pleasant perspective
(9.58%)
pleasant post processing
(1.56%)
pleasant reflection
(-3.22%)
pleasant symmetry
(1.07%)
sharply focused subject
(23.05%)
tastefully blurred
(56.15%)
well chosen subject
(-5.25%)
well framed subject
(72.90%)
well timed shot
(23.16%)
all
(15.16%)
* 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.