Photos | The Wedding Party Posing in the Garden
Ken Yamamura and the rest of the wedding party stand surrounded by the lush greenery and tropical plants of the outdoor ceremony venue. The colorful flower bouquets and classic suits add a touch of formality to the casual setting, while the clear blue sky and palm trees overhead create a relaxed and festive vibe.
BLIP-2 Description:
a group of people standing in a yardMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sonny_wedding arrangement dress groom jeans glasses child transportation palm outdoor skirt roof girl ceremony footwear grass bride tie tuxedo teen bag formal sky jacket ken yamamura necklace tree fashion car jewelry flower blazer bouquet wedding shoe handbag gown coat sonny l bridegroom flower bouquet pants plant vehicle suit sonny wear overcoat accessories art land
iso
100
metering mode
5
aperture
f/4
focal length
42mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(51.66%)
curation
(66.40%)
highlight visibility
(5.61%)
behavioral
(70.65%)
failure
(-0.24%)
harmonious color
(2.18%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(60.30%)
intrusive object presence
(-12.55%)
lively color
(4.21%)
low light
(0.34%)
noise
(-4.59%)
pleasant camera tilt
(-1.17%)
pleasant composition
(-19.75%)
pleasant lighting
(-23.34%)
pleasant pattern
(5.20%)
pleasant perspective
(3.50%)
pleasant post processing
(-1.02%)
pleasant reflection
(-1.53%)
pleasant symmetry
(0.73%)
sharply focused subject
(2.03%)
tastefully blurred
(9.46%)
well chosen subject
(-27.69%)
well framed subject
(26.66%)
well timed shot
(18.62%)
all
(2.64%)
* 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.