Photos | Dining in Style
John XXIII and friends enjoy a meal at a cozy restaurant surrounded by art and elegant furniture.
BLIP-2 Description:
a group of people sitting around a table eating foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
cutlery architecture xxiii glass cafeteria tableware john building frame meal food pub na buffet lamp hat secure dinner restaurant furniture utensil flooring court container wood art document drinking knife still_secure linen camera glasses indoors supper dining still interior electronics serdslig fork table room accessories blade couch tinh cafe home plate john xxiii decor cup floor nho painting weapon
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-08-09T21:45:31-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.53%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.37%)
harmonious color
(4.77%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-7.07%)
intrusive object presence
(-10.35%)
lively color
(-30.59%)
low light
(79.15%)
noise
(-1.95%)
pleasant camera tilt
(-5.30%)
pleasant composition
(-69.58%)
pleasant lighting
(-43.58%)
pleasant pattern
(10.96%)
pleasant perspective
(9.52%)
pleasant post processing
(7.98%)
pleasant reflection
(0.33%)
pleasant symmetry
(1.86%)
sharply focused subject
(0.49%)
tastefully blurred
(-4.74%)
well chosen subject
(-3.27%)
well framed subject
(-31.32%)
well timed shot
(8.44%)
all
(-3.47%)
* 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.