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:
walkway path room speaker furniture desk decor floor dining home fun waiting room hotel plant tree linen hawaii court indoors bag accessories wood ginette reno chair arrangement building footwear banquet architecture crowd cafeteria flagstone camera food resort bouquet interior table bride cup restaurant flooring palm tree handbag reception hall tablecloth flower hat electronics wedding shoe
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.