Photos | Group Photo at a Fine Dining Restaurant
John Paul II and Leopold Stokowski pose with a group of 28 people at a lavish restaurant dressed with chandeliers, paintings, and antique furniture.
BLIP-2 Description:
a group of people posing for a photoChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture cutlery cafeteria stokowski spoon tableware necklace john paul ii building frame meal food defcon chair pub buffet beverage lamp wristwatch dinner restaurant furniture utensil flooring court wood art knife linen alcohol glasses indoors supper dining interior jewelry fork leopold photos/defcon light dc table room accessories blade couch cafe home plate chandelier decor cup floor painting weapon
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2010-07-30T21:20:12.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.97%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.22%)
harmonious color
(2.20%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(21.59%)
intrusive object presence
(-8.98%)
lively color
(-33.08%)
low light
(68.36%)
noise
(-2.10%)
pleasant camera tilt
(-6.77%)
pleasant composition
(-52.83%)
pleasant lighting
(-42.68%)
pleasant pattern
(7.30%)
pleasant perspective
(12.48%)
pleasant post processing
(4.16%)
pleasant reflection
(-1.93%)
pleasant symmetry
(2.08%)
sharply focused subject
(0.29%)
tastefully blurred
(-6.78%)
well chosen subject
(-13.26%)
well framed subject
(5.37%)
well timed shot
(8.72%)
all
(-3.23%)
* 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.