Photos | Celebrating Love in Hawaii
Lisa McCune and 31 other guests enjoy the beautiful flagstone flooring and flower arrangements at the intimate restaurant reception. The 10 chairs and dining table set the stage for a night full of fun, food, and laughter.
BLIP-2 Description:
a group of people at a wedding receptionChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture reception dining room cafeteria banquet plant building meal food chair flower footwear arrangement flagstone hat walkway slate restaurant furniture flooring court wood bag shoe floristry waiting room fun lisa mccune hall glasses indoors dining path interior table accessories room home decor floor bouquet handbag linen tablecloth hawaii
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-03-15T20:31:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.94%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.12%)
harmonious color
(4.16%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-6.90%)
intrusive object presence
(-17.11%)
lively color
(-10.22%)
low light
(16.46%)
noise
(-0.83%)
pleasant camera tilt
(-11.23%)
pleasant composition
(-75.63%)
pleasant lighting
(-21.42%)
pleasant pattern
(2.98%)
pleasant perspective
(21.37%)
pleasant post processing
(3.92%)
pleasant reflection
(0.48%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.32%)
tastefully blurred
(-13.16%)
well chosen subject
(-6.16%)
well framed subject
(-28.81%)
well timed shot
(9.56%)
all
(-1.38%)
* 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.