Photos | A Perfect Wedding Day
Yu Weiguo, Namit Shah, and Mahalakshmi Iyer pose for a group photo in front of the stunning house, surrounded by palm trees, on a cloudy day during the Sonny wedding ceremony in 2010. The brides' gorgeous wedding gowns and the groom's sleek suit fit perfectly with the outdoor atmosphere of the event.
BLIP-2 Description:
a group of people posing for a photo in front of a houseMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
bridesmaid sonny_wedding dress groom glasses palm transportation outdoor yu weiguo skirt tuxedo formal ceremony footwear grass bride bag sky mahalakshmi iyer tree chair evening fashion car flower bouquet wedding folding shoe handbag cloudy gown coat flower arrangement sonny l bridegroom plant wristwatch vehicle suit blue namit sonny wear furniture accessories shah crowd land
iso
100
metering mode
5
aperture
f/4
focal length
27mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(45.90%)
curation
(65.95%)
highlight visibility
(5.73%)
behavioral
(90.71%)
failure
(-0.32%)
harmonious color
(-0.82%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(52.20%)
intrusive object presence
(-41.75%)
lively color
(1.95%)
low light
(0.66%)
noise
(-3.44%)
pleasant camera tilt
(-3.56%)
pleasant composition
(-44.60%)
pleasant lighting
(-19.52%)
pleasant pattern
(5.59%)
pleasant perspective
(13.04%)
pleasant post processing
(0.43%)
pleasant reflection
(3.34%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.71%)
tastefully blurred
(-8.11%)
well chosen subject
(-14.27%)
well framed subject
(-5.91%)
well timed shot
(31.10%)
all
(2.94%)
* 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.