Photos | Dining in Hawaii with Ginette Reno
A crowd of 30 people sits at dining tables in a beautiful restaurant with palm trees and plants. Canadian singer Ginette Reno is among the guests. The elegant flooring and furniture add to the lovely indoor setting.
BLIP-2 Description:
a group of people sitting at tables in a large roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture reception cafeteria bride banquet plant building food chair speaker footwear flower arrangement wedding flagstone hat walkway crowd tree restaurant furniture flooring court wood bag shoe waiting room fun resort desk camera hall indoors dining hotel path interior palm tree electronics table accessories room home ginette reno decor cup floor bouquet handbag linen tablecloth hawaii
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2008-03-15T20:31:50-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.29%)
harmonious color
(2.11%)
immersiveness
(0.93%)
interaction
(1.00%)
interesting subject
(-22.86%)
intrusive object presence
(-12.16%)
lively color
(-11.64%)
low light
(15.01%)
noise
(-1.64%)
pleasant camera tilt
(-10.31%)
pleasant composition
(-77.54%)
pleasant lighting
(-42.24%)
pleasant pattern
(6.15%)
pleasant perspective
(4.12%)
pleasant post processing
(2.90%)
pleasant reflection
(2.01%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.27%)
tastefully blurred
(-4.25%)
well chosen subject
(-4.08%)
well framed subject
(-47.78%)
well timed shot
(0.35%)
all
(-5.31%)
* 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.